<?xml version="1.0" encoding="UTF-8"?>
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    <title>data-visualization</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/211/feed"/>
    <updated>2026-08-02T19:48:31+00:00</updated>
    <id>https://links.biapy.com/guest/tags/211/feed</id>
            <entry>
            <id>https://links.biapy.com/links/13489</id>
            <title type="text"><![CDATA[uPlot]]></title>
            <link rel="alternate" href="https://github.com/leeoniya/uPlot" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13489"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[📈 A small, fast chart for time series, lines, areas, ohlc &amp;amp; bars.

uPlot is a fast, memory-efficient Canvas 2D-based chart for plotting time series, lines, areas, ohlc &amp;amp; bars. From a cold start it can create an interactive chart containing 166,650 data points in 25ms, scaling linearly at ~100,000 pts/ms afterwards. In addition to fast initial render, the zooming and cursor performance is by far the best of any similar charting lib; at ~50 KB, it&amp;#039;s likely the smallest and fastest time series plotter that doesn&amp;#039;t make use of context-limited WebGL shaders or WASM, both of which have much higher startup cost and code size.]]>
            </summary>
            <updated>2026-08-02T19:34:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13449</id>
            <title type="text"><![CDATA[Gephi]]></title>
            <link rel="alternate" href="https://gephi.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13449"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Open Graph Viz Platform.
Open-source project for visual network analysis.

Gephi is an award-winning open-source platform for visualizing and manipulating large graphs. It runs on Windows, Mac OS X and Linux.

- [Gephi @ GitHub](https://github.com/gephi/gephi).]]>
            </summary>
            <updated>2026-07-29T13:38:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13448</id>
            <title type="text"><![CDATA[GeoLibre]]></title>
            <link rel="alternate" href="https://geolibre.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13448"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.

A free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private.

GeoLibre is built with Tauri v2, React, TypeScript, MapLibre GL JS, DuckDB-WASM Spatial, and deck.gl. The same workspace runs as a native desktop app, a native Android app, in any modern web browser, and adapts responsively to mobile and small screens.

- [GeoLibre @ GitHub](https://github.com/opengeos/GeoLibre).]]>
            </summary>
            <updated>2026-07-29T12:07:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13411</id>
            <title type="text"><![CDATA[Flint]]></title>
            <link rel="alternate" href="https://microsoft.github.io/flint-chart/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13411"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Visualization Language for the AI Era.

Flint is a visualization intermediate language that lets AI agents reliably create expressive, good-looking charts from simple, human-editable chart specs. Instead of requiring verbose low-level parameters such as scales, axes, spacing, and layout, the Flint compiler derives optimized chart settings from the data, semantic types, chart type, and encodings. Flint supports 46 chart types, and it supports rendering in Vega-Lite, ECharts, and Chart.js.

- [Flint @ GitHub](https://github.com/microsoft/flint-chart).]]>
            </summary>
            <updated>2026-07-29T11:59:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13407</id>
            <title type="text"><![CDATA[Agent Flow]]></title>
            <link rel="alternate" href="https://github.com/patoles/agent-flow" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13407"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Real-time visualization of Claude Code agent orchestration — see your agents think, branch, and coordinate as they work.]]>
            </summary>
            <updated>2026-07-24T13:09:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13275</id>
            <title type="text"><![CDATA[mindwalk]]></title>
            <link rel="alternate" href="https://github.com/cosmtrek/mindwalk" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13275"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A visualization tool that replays coding-agent sessions on a 3D map of your codebase.]]>
            </summary>
            <updated>2026-07-15T06:18:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13185</id>
            <title type="text"><![CDATA[AntV Infographic]]></title>
            <link rel="alternate" href="https://infographic.antv.vision/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13185"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🦋 An Infographic Generation and Rendering Framework, bring words to life with AI!

AntV Infographic is AntV&amp;#039;s next-generation declarative infographic visualization engine. With a carefully designed infographic syntax, it can quickly and flexibly render high-quality infographics, making information presentation more efficient and data storytelling simpler.

- [AntV Infographic @ GitHub](https://github.com/antvis/Infographic).]]>
            </summary>
            <updated>2026-07-02T15:18:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13101</id>
            <title type="text"><![CDATA[RAWGraphs]]></title>
            <link rel="alternate" href="https://www.rawgraphs.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13101"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A free and open source tool for data visualization.

 A web interface to create custom vector-based visualizations.

- [RAWGraphs @ GitHub](https://github.com/rawgraphs/rawgraphs-app).

Related contents:

- [RawGraphs - Et vos données moches deviennent de beaux graphiques sans coder @ Korben :fr:](https://korben.info/rawgraphs-data-visualisation-open-source.html).]]>
            </summary>
            <updated>2026-06-24T09:32:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13046</id>
            <title type="text"><![CDATA[Git City]]></title>
            <link rel="alternate" href="https://www.thegitcity.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13046"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your GitHub as a 3D City.

 Your GitHub profile as a 3D pixel art building in an interactive city 

- [Git City @ GitHub](https://github.com/srizzon/git-city).]]>
            </summary>
            <updated>2026-06-18T15:21:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12978</id>
            <title type="text"><![CDATA[Datatype]]></title>
            <link rel="alternate" href="https://franktisellano.github.io/datatype/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12978"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A variable font that turns text into charts.

 Datatype is an OpenType variable font that turns simple text expressions into inline charts. No JavaScript, no images, no rendering library — just type the syntax and Datatype&amp;#039;s ligature substitution does the rest. 

- [Datatype @ GitHub](https://github.com/franktisellano/datatype).]]>
            </summary>
            <updated>2026-06-10T11:52:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12939</id>
            <title type="text"><![CDATA[tokenspeed]]></title>
            <link rel="alternate" href="https://mikeveerman.github.io/tokenspeed/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12939"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[feel LLM tokens-per-second.

tokenspeed is a tiny terminal toy that streams fake tokens at any rate you set, so you can see what those numbers actually look like.

- [tokenspeed @ GitHub](https://github.com/MikeVeerman/tokenspeed).]]>
            </summary>
            <updated>2026-06-05T09:28:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12590</id>
            <title type="text"><![CDATA[ggsql]]></title>
            <link rel="alternate" href="https://ggsql.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12590"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A SQL extension for declarative data visualisation based on the Grammar of Graphics. 

ggsql brings the elegance of the Grammar of Graphics to SQL. Write familiar queries, add visualization clauses, and see your data transform into beautiful, composable charts — no context switching, no separate tools, just SQL with superpowers.

- [ggsql @ GitHub](https://github.com/posit-dev/ggsql).]]>
            </summary>
            <updated>2026-04-21T11:38:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12585</id>
            <title type="text"><![CDATA[MDV — Markdown Data &amp;amp; Visualization]]></title>
            <link rel="alternate" href="https://github.com/drasimwagan/mdv" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12585"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Write documents, dashboards, and slides in a Markdown superset. Add charts, KPI cards, tables, and styled regions with nothing more complicated than fenced code blocks and named styles.

 MDV — a Markdown superset for documents, dashboards, and slides with embedded data and visualizations. HTML + PDF export, live preview, VS Code extension.]]>
            </summary>
            <updated>2026-04-20T12:02:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12511</id>
            <title type="text"><![CDATA[GitVizz]]></title>
            <link rel="alternate" href="https://www.gitvizz.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12511"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Understand Any Codebase in Minutes, Not Hours

AI-powered repository analysis that turns complex codebases into interactive documentation, dependency graphs, and intelligent conversations.

- [GitVizz @ GitHub](https://github.com/adithya-s-k/GitVizz).

Related contents:

- [Veille #51 — L&amp;#039;actu de la semaine @ Camille Roux :fr:](https://www.camilleroux.com/veille-51-lactu-de-la-semaine/).]]>
            </summary>
            <updated>2026-04-10T08:27:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12386</id>
            <title type="text"><![CDATA[Semiotic]]></title>
            <link rel="alternate" href="https://semiotic.nteract.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12386"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Data Visualization for React. Streaming-First Visualization for React

Push data at 60fps with decay, pulse, and staleness encoding. Or just pass an array — static data is the simple case. 40+ chart types, network graphs, coordinated dashboards, and AI tooling built in.

- [Semiotic @ GitHub](https://github.com/nteract/semiotic).]]>
            </summary>
            <updated>2026-03-31T14:38:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12289</id>
            <title type="text"><![CDATA[Algorithm Visualizer]]></title>
            <link rel="alternate" href="https://algorithm-visualizer.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12289"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🎆Interactive Online Platform that Visualizes Algorithms from Code.

Welcome to Algorithm Visualizer, an interactive online platform designed to bring algorithms to life through visualization. Whether you&amp;#039;re a student, teacher, or professional, our platform provides an engaging way to explore and understand various algorithms.

- [Algorithm Visualizer @ GitHub](https://github.com/algorithm-visualizer/algorithm-visualizer).]]>
            </summary>
            <updated>2026-03-25T13:38:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12140</id>
            <title type="text"><![CDATA[🦖 k8s Unix System]]></title>
            <link rel="alternate" href="https://github.com/jlandersen/k8s-unix-system" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12140"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Jurassic Park Unix System style Kubernetes resource viewer.

A 3D Kubernetes resource viewer inspired by the FSN (File System Navigator) from Jurassic Park. Fly through your cluster like it&amp;#039;s 1993.

Related contents:

- [Jurassic Park dans votre cluster k8s @ Korben :fr:](https://korben.info/k8s-unix-system-kubernetes-simulateur-unix.html).]]>
            </summary>
            <updated>2026-03-16T09:47:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11971</id>
            <title type="text"><![CDATA[SQL Crack]]></title>
            <link rel="alternate" href="https://github.com/buva7687/sql-crack" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11971"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Transform SQL queries into interactive visual flow diagrams.

SQL Crack is a VS Code extension that visualizes SQL queries as interactive execution flow diagrams. Understand complex queries at a glance, track data lineage across your entire workspace, and identify optimization opportunities with professional-grade visual analysis.]]>
            </summary>
            <updated>2026-03-02T06:53:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11941</id>
            <title type="text"><![CDATA[Evil Charts]]></title>
            <link rel="alternate" href="https://evilcharts.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11941"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Beautiful &amp;amp; Animated Charts.

 A Beautiful &amp;amp; Animated Chart UI Website built on top of shadcn &amp;amp; recharts. 
A modern, customizable chart library for React and Next.js applications featuring visually stunning and interactive data visualizations.

- [Evil Charts @ GitHub](https://github.com/legions-developer/evilcharts).]]>
            </summary>
            <updated>2026-02-27T06:51:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11916</id>
            <title type="text"><![CDATA[GNU Octave]]></title>
            <link rel="alternate" href="https://octave.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11916"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scientific Programming Language.

Powerful mathematics-oriented syntax with built-in 2D/3D plotting and visualization tools.
Free software, runs on GNU/Linux, macOS, BSD, and Microsoft Windows.
Drop-in compatible with many Matlab scripts.]]>
            </summary>
            <updated>2026-02-24T15:13:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11904</id>
            <title type="text"><![CDATA[Shaper]]></title>
            <link rel="alternate" href="https://taleshape.com/shaper/docs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11904"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source, SQL-driven Data Dashboards powered by DuckDB.

Build analytics dashboards simply by writing SQL.

- [Shaper @ GitHub](https://github.com/taleshape-com/shaper).

Related contents:

- [Digest \#202: Terraform Claude Skills, FinOps FOCUS 1.2, AI Fatigue for Cloud Engineers, and MCP for Web Data Extraction @ DevOps Bulletin](https://www.devopsbulletin.com/p/digest-202-terraform-claude-skills).]]>
            </summary>
            <updated>2026-02-24T07:10:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11603</id>
            <title type="text"><![CDATA[CookieViz]]></title>
            <link rel="alternate" href="https://github.com/LINCnil/CookieViz" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11603"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[CookieViz is a vizualization tool allowing to view cookies impact during your browsing.

CookieViz analyzes the interactions between your web browser and the remote servers and websites. You will be able to know to which other player the site you&amp;#039;re visiting sends information.

- [CookieViz Extension for Firefox @ GitHub](https://github.com/LINCnil/cookieviz-extension).
- [Extension CookieViz @ Firefox Browser Add-Ons](https://addons.mozilla.org/fr/firefox/addon/cookieviz/).

Related contents:

- [Visualisez le tracking web en temps réel avec CookieViz de la CNIL @ Korben :fr:](https://korben.info/cookieviz-cnil-tracking-visualisation-dataviz.html).]]>
            </summary>
            <updated>2026-01-26T08:38:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11563</id>
            <title type="text"><![CDATA[ChartGPU]]></title>
            <link rel="alternate" href="https://chartgpu.github.io/ChartGPU/examples/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11563"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Beautiful, open source, WebGPU-based charting library.

ChartGPU is a TypeScript charting library built on WebGPU for smooth, interactive rendering—especially when you have lots of data.

- [ChartGPU @ GitHub](https://github.com/ChartGPU/ChartGPU).]]>
            </summary>
            <updated>2026-01-22T12:52:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11398</id>
            <title type="text"><![CDATA[Cavalier]]></title>
            <link rel="alternate" href="https://github.com/NickvisionApps/Cavalier" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11398"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visualize audio with CAVA.

- 11 drawing modes!
- Set any single color, a gradient or an image for background and foreground.
- Configure smoothing, noise reduction and a few other CAVA settings.

Related contents:

- [Episode 647: Plausibly Postulated Prophecies @ Linux Unplugged](https://linuxunplugged.com/647).]]>
            </summary>
            <updated>2026-01-07T07:01:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11355</id>
            <title type="text"><![CDATA[GitHub Contributions Chart Generator]]></title>
            <link rel="alternate" href="https://github-contributions.vercel.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11355"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[All your contributions in one image!.
Generates an image of all your GitHub contributions since you have signed up, so you can use it in social media.

The API for this project lives in the src/pages/api directory since GitHub doesn&amp;#039;t provide a way to access user statistics through it&amp;#039;s official API.

- [GitHub Contributions Chart Generator @ GitHub](https://github.com/sallar/github-contributions-chart).

Related contents:

- [Developers Are Gaming Their GitHub Profiles @ Data Science Collective](https://medium.com/data-science-collective/developers-are-gaming-their-github-profiles-3f58f1f00c2a).]]>
            </summary>
            <updated>2026-01-05T07:16:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11263</id>
            <title type="text"><![CDATA[Sonda]]></title>
            <link rel="alternate" href="https://sonda.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11263"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Universal visualizer and analyzer for JavaScript and CSS. Compatible with most bundlers and frameworks.

Sonda is a universal bundle analyzer and visualizer. It generates an interactive HTML report that is more accurate and detailed than some alternatives. The accuracy is achieved by analyzing source maps and showing the size of each module after tree-shaking and minification.

- [Sonda @ GitHub](https://github.com/filipsobol/sonda).]]>
            </summary>
            <updated>2025-12-17T12:58:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11216</id>
            <title type="text"><![CDATA[LabPlot]]></title>
            <link rel="alternate" href="https://labplot.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11216"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scientific plotting and data analysis.
 LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone. 

FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone and trusted by professionals.

- [LabPlot @ GitHub](https://github.com/KDE/labplot).]]>
            </summary>
            <updated>2025-12-12T07:32:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11174</id>
            <title type="text"><![CDATA[SMART Report Viewer]]></title>
            <link rel="alternate" href="https://smartreportviewer.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11174"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Browser-Based HDD/SSD Health Analysis.

Hard drives report their health using a system called S.M.A.R.T. (Self-Monitoring, Analysis and Reporting Technology). You can read this data using command line tools like smartctl, but the output is often hard to read.
Manufacturers store data in raw hexadecimal values. A read error rate might look like 0x00000ab42 in a terminal. This could be zero errors, or it could be thousands, depending on how Seagate, WD, or Toshiba encoded the data.
This viewer attempts to decode those raw manufacturer-specific values to tell you if a &amp;quot;high&amp;quot; number is actually bad, or if it is just a routine counter.

Related contents:

- [SMART Report Viewer - Vérifiez la santé de vos disques en ligne @ Korben :fr:](https://korben.info/smart-report-viewer-sante-disque-navigateur.html).]]>
            </summary>
            <updated>2025-12-08T11:31:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11166</id>
            <title type="text"><![CDATA[Stacktower]]></title>
            <link rel="alternate" href="https://stacktower.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11166"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[What happens when you take an XKCD joke too literally.

 CLI tool that renders package dependencies as physical tower structures. Supports PyPI, npm, and crates.io with optimal crossing minimization. 

- [Stacktower @ GitHub](https://github.com/matzehuels/stacktower).]]>
            </summary>
            <updated>2025-12-05T12:55:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11111</id>
            <title type="text"><![CDATA[SveltePlot]]></title>
            <link rel="alternate" href="https://svelteplot.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11111"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Svelte Plotting Framework.

The best visualizations are built with Svelte.
A Svelte-native visualization framework based on the layered grammar of graphics principles.

- [SveltePlot @ GitHub](https://github.com/svelteplot/svelteplot).]]>
            </summary>
            <updated>2025-11-27T16:06:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11083</id>
            <title type="text"><![CDATA[gitlogue]]></title>
            <link rel="alternate" href="https://github.com/unhappychoice/gitlogue" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11083"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A cinematic Git commit replay tool for the terminal, turning your Git history into a living, animated story.]]>
            </summary>
            <updated>2025-11-24T12:52:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10944</id>
            <title type="text"><![CDATA[Perspective]]></title>
            <link rel="alternate" href="https://perspective-dev.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10944"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A data visualization and analytics component, especially well-suited for large and/or streaming datasets. 

- [Perspective @ GitHub](https://github.com/perspective-dev/perspective).]]>
            </summary>
            <updated>2025-11-12T15:10:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10899</id>
            <title type="text"><![CDATA[SandDance]]></title>
            <link rel="alternate" href="https://microsoft.github.io/SandDance/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10899"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visually explore, understand, and present your data.

By using easy-to-understand views, SandDance helps you find insights about your data, which in turn help you tell stories supported by data, build cases based on evidence, test hypotheses, dig deeper into surface explanations, support decisions for purchases, or relate data into a wider, real world context.

- [SandDance @ GitHub](https://github.com/microsoft/SandDance).]]>
            </summary>
            <updated>2025-11-07T13:25:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10861</id>
            <title type="text"><![CDATA[Scanopy]]></title>
            <link rel="alternate" href="https://scanopy.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10861"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Automatically discover and visually document network topology. 

NetVisor scans your network, identifies hosts and services, and generates an interactive visualization showing how everything connects, letting you easily create and maintain network documentation.

- [Scanopy @ GitHub](https://github.com/scanopy/scanopy).

Related contents:

- [Scanopy - Quand votre réseau se documente tout seul @ Korben :fr:](https://korben.info/scanopy-scanner-reseau-topologie.html).]]>
            </summary>
            <updated>2026-03-23T15:13:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10858</id>
            <title type="text"><![CDATA[Container Census]]></title>
            <link rel="alternate" href="https://github.com/selfhosters-cc/container-census" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10858"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Manage your docker containers and generate a report to share and compare with other self hosters.

Container Census is a lightweight, Go-powered tool that automatically scans your Docker environment across one or many hosts and gives you a clear, historical view of everything running in your stack.

Related contents:

- [Best Docker Apps of October 2025! @ ServersatHome&amp;#039;s YouTube](https://www.youtube.com/watch?v=dMhUiJqohFU).]]>
            </summary>
            <updated>2025-11-16T16:31:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10625</id>
            <title type="text"><![CDATA[AudioDeck]]></title>
            <link rel="alternate" href="https://github.com/casantosmu/audiodeck" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10625"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A modern, self-hostable web spectrogram analyzer for your music library.

AudioDeck is a self-hosted web application that lets you visually analyze the audio quality of your music files. Think of it as a web-based, modern version of the classic Spek spectrogram analyzer.

Perfect for checking if your &amp;quot;high-quality&amp;quot; FLAC files are genuine or just upconverted low-quality MP3s.]]>
            </summary>
            <updated>2025-10-10T13:33:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10500</id>
            <title type="text"><![CDATA[Rollup Plugin Visualizer]]></title>
            <link rel="alternate" href="https://github.com/btd/rollup-plugin-visualizer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10500"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[📈⚖️ Visuallize your bundle 

Visualize and analyze your Rollup bundle to see which modules are taking up space.

Related contents:

- [How to keep package.json under control @ val town](https://blog.val.town/gardening-dependencies).]]>
            </summary>
            <updated>2025-10-02T06:36:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10343</id>
            <title type="text"><![CDATA[The Julia Programming Language]]></title>
            <link rel="alternate" href="https://julialang.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10343"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Julia is a high-level, high-performance dynamic language for technical computing.

- [Julia @ GitHub](https://github.com/JuliaLang/julia).

Related contents:

- [Quand l&amp;#039;IA apprend à simuler l&amp;#039;univers sur un simple laptop @ Korben :fr:](https://korben.info/effort-jl-ia-simulation-univers-laptop.html).
- [Image manipulation with convolution using Julia @ Frontiers of Data Science](https://medium.com/frontiers-of-data-science/image-manipulation-with-convolution-using-julia-f898995ac1e5).]]>
            </summary>
            <updated>2026-03-16T15:16:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10291</id>
            <title type="text"><![CDATA[LLM Visualization]]></title>
            <link rel="alternate" href="https://bbycroft.net/llm" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10291"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A visualization and walkthrough of the LLM algorithm that backs OpenAI&amp;#039;s ChatGPT. Explore the algorithm down to every add &amp;amp; multiply, seeing the whole process in action.

This project displays a 3D model of a working implementation of a GPT-style network. That is, the network topology that&amp;#039;s used in OpenAI&amp;#039;s GPT-2, GPT-3, (and maybe GPT-4).

- [LLM Visualization @ GitHub](https://github.com/bbycroft/llm-viz).]]>
            </summary>
            <updated>2025-09-19T06:03:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10065</id>
            <title type="text"><![CDATA[speedscope]]></title>
            <link rel="alternate" href="https://www.speedscope.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10065"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🔬 A fast, interactive web-based viewer for performance profiles.
 
Supports import from a variety of profiles in a variety of languages (JS, Ruby, Python, Go &amp;amp; more). 

Given raw profiling data, speedscope allows you to interactively explore the data to get insight into what&amp;#039;s slow in your application, or allocating all the memory, or whatever data is represented in the profiling data.

- [speedscope @ GitHub](https://github.com/jlfwong/speedscope).

Related contents:

- [The Whop chop: how we cut a Rails test suite and CI time in half @ Evil Martians](https://evilmartians.com/chronicles/the-whop-chop-how-we-cut-a-rails-test-suite-and-ci-time-in-half).]]>
            </summary>
            <updated>2025-09-08T13:47:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/85</id>
            <title type="text"><![CDATA[Embedding Atlas]]></title>
            <link rel="alternate" href="https://apple.github.io/embedding-atlas/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/85"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scalable, Interactive Visualization.
Compute &amp;amp; interactively visualize large embeddings.

 Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata. 

- [Embedding Atlas @ GitHub](https://github.com/apple/embedding-atlas).]]>
            </summary>
            <updated>2025-09-17T19:31:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/186</id>
            <title type="text"><![CDATA[Dependency cruiser]]></title>
            <link rel="alternate" href="https://github.com/sverweij/dependency-cruiser" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/186"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Validate and visualize dependencies. Your rules. JavaScript, TypeScript, CoffeeScript. ES6, CommonJS, AMD.]]>
            </summary>
            <updated>2025-11-05T06:45:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/212</id>
            <title type="text"><![CDATA[Observable Framework]]></title>
            <link rel="alternate" href="https://observablehq.com/framework/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/212"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The best dashboards are built with code.
Create fast, beautiful data apps, dashboards, and reports from the command line. Write Markdown, JavaScript, SQL, Python, R… and any language you like. Free and open-source.

A static site generator for data apps, dashboards, reports, and more. Observable Framework combines JavaScript on the front-end for interactive graphics with any language on the back-end for data analysis. 

- [Observable Framework @ GitHub](https://github.com/observablehq/framework).]]>
            </summary>
            <updated>2025-10-21T14:50:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/302</id>
            <title type="text"><![CDATA[Reagraph]]></title>
            <link rel="alternate" href="https://reagraph.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/302"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🕸 WebGL Graph Visualizations for React.
WebGL-Powered Open-Source Network Graph Visualization.

a high-performance network graph visualization built in WebGL for React.

- [Reagraph @ GitHub](https://github.com/reaviz/reagraph).]]>
            </summary>
            <updated>2026-01-13T13:24:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/348</id>
            <title type="text"><![CDATA[Sonar]]></title>
            <link rel="alternate" href="https://sonar-team.github.io/doc/en/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/348"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Optimized Node Monitoring for Network Analysis.

SONAR is designed to simplify network configuration audits in critical environments.
With a clean interface and a robust architecture, it enables any personnel — even non-technical — to understand and document network flows independently.

- [Sonar Desktop App @ GitHub](https://github.com/Sonar-team/Sonar_desktop_app).]]>
            </summary>
            <updated>2026-01-23T15:17:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/398</id>
            <title type="text"><![CDATA[VisiData]]></title>
            <link rel="alternate" href="https://www.visidata.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/398"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source data multitool. Data exploration at your fingertips.

VisiData is an interactive multitool for tabular data. It combines the clarity of a spreadsheet, the efficiency of the terminal, and the power of Python, into a lightweight utility which can handle millions of rows with ease.

- [VisiData @ GitHub](https://github.com/saulpw/visidata).]]>
            </summary>
            <updated>2025-11-04T07:54:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/459</id>
            <title type="text"><![CDATA[Serial Studio]]></title>
            <link rel="alternate" href="https://serial-studio.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/459"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build dashboards for any device. Instantly.

Stream telemetry, plot sensor data, and monitor systems in real time. No custom frontend code or locked-in formats. Works with serial, MQTT, Bluetooth LE, or network sources.

Serial Studio is an open-core, cross-platform telemetry dashboard and real-time data visualization tool. It supports input from serial ports, Bluetooth Low Energy (BLE), MQTT, and TCP/UDP sockets, allowing data acquisition from embedded devices, external software, and networked services.

Serial Studio runs on Windows, macOS, and Linux. It is suited for telemetry monitoring, sensor data analysis, and real-time debugging in educational, hobbyist, and professional environments.

- [Serial Studio @ GitHub](https://github.com/Serial-Studio/Serial-Studio).]]>
            </summary>
            <updated>2025-08-28T17:13:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/693</id>
            <title type="text"><![CDATA[Cartography]]></title>
            <link rel="alternate" href="https://cartography.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/693"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source Infrastructure Mapping Tool.

Cartography is a Python tool that consolidates infrastructure assets and the relationships between them in an intuitive graph view powered by a Neo4j database. 

- [Cartography documentation](https://cartography-cncf.github.io/cartography/).
- [Cartography @ GitHub](https://github.com/cartography-cncf/cartography).

Related contents:

- [Episode #506 consacré au logiciel Cartography avec Jérémy Chapeau @ NoLimitSecu :fr:](https://www.nolimitsecu.fr/).]]>
            </summary>
            <updated>2025-08-28T17:54:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/857</id>
            <title type="text"><![CDATA[Chartbrew]]></title>
            <link rel="alternate" href="https://chartbrew.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/857"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Client reports for your team and clients.

Open-source web platform used to create live reporting dashboards from APIs, MongoDB, Firestore, MySQL, PostgreSQL, and more 📈📊 

- [Chartbrew @ GitHub](https://github.com/chartbrew/chartbrew).]]>
            </summary>
            <updated>2025-08-28T18:20:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/871</id>
            <title type="text"><![CDATA[📚 KoInsight]]></title>
            <link rel="alternate" href="https://github.com/GeorgeSG/KoInsight" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/871"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[📚 KoInsight brings your KoReader reading stats to life with a clean, web-based dashboard.]]>
            </summary>
            <updated>2025-08-28T18:22:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/971</id>
            <title type="text"><![CDATA[Fitbit Health Dashboard]]></title>
            <link rel="alternate" href="https://github.com/arpanghosh8453/fitbit-grafana" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/971"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fitbit Fetch script and Influxdb Grafana integration.

 A script to fetch data from Fitbit servers using their API and store the data in a local influxdb database and visualize them with Grafana]]>
            </summary>
            <updated>2025-08-28T18:39:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1014</id>
            <title type="text"><![CDATA[Apache ECharts]]></title>
            <link rel="alternate" href="https://echarts.apache.org/en/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1014"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Apache ECharts is a powerful, interactive charting and data visualization library for browser.

Apache ECharts is a free, powerful charting and visualization library offering easy ways to add intuitive, interactive, and highly customizable charts to your commercial products. It is written in pure JavaScript and based on zrender, which is a whole new lightweight canvas library.

- [Apache ECharts @ GitHub](https://github.com/apache/echarts).]]>
            </summary>
            <updated>2025-08-28T18:46:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1020</id>
            <title type="text"><![CDATA[Liam ERD]]></title>
            <link rel="alternate" href="https://liambx.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1020"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ER Diagrams, Reinvented for Simplicity.

Automatically generate and explore your database schema with a powerful interactive viewer.
Liam ERD generates beautiful, interactive ER diagrams from your database. Whether you&amp;#039;re working on public or private repositories, Liam ERD helps you visualize complex schemas with ease.

- [Liam ERD @ GitHub](https://github.com/liam-hq/liam).]]>
            </summary>
            <updated>2025-08-28T18:47:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1085</id>
            <title type="text"><![CDATA[GitDiagram]]></title>
            <link rel="alternate" href="https://gitdiagram.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1085"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turn any GitHub repository into an interactive diagram for visualization.
This is useful for quickly visualizing projects.

You can also replace &amp;#039;hub&amp;#039; with &amp;#039;diagram&amp;#039; in any Github URL.

- [GitDiagram @ GitHub](https://github.com/ahmedkhaleel2004/gitdiagram).]]>
            </summary>
            <updated>2025-08-28T18:58:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1105</id>
            <title type="text"><![CDATA[xan :fr:]]></title>
            <link rel="alternate" href="https://github.com/medialab/xan" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1105"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The CSV magician.

`xan` is a command line tool that can be used to process CSV files directly
from the shell.
It can easily preview, filter, slice, aggregate, sort, join CSV files,
and exposes a large collection of composable commands that can be chained
together to perform a wide variety of typical tasks.

Related contents:

- [Xan - Un outil surpuissant pour manipuler vos fichiers CSV en ligne de commande @ Korben :fr:](https://korben.info/xan-couteau-suisse-manipulation-csv-ligne-commande.html).]]>
            </summary>
            <updated>2025-08-28T19:00:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1249</id>
            <title type="text"><![CDATA[DoubleLoop]]></title>
            <link rel="alternate" href="https://doubleloop.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1249"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Develop an impact-oriented strategy. Map Your Strategy with AI &amp;amp; Align Around Impact

Put your strategy on a canvas and see how it all connects. Prevent misalignment, escape the feature factory and only work on things that matter.

Related contents:

- [Stop Looking at Flat Dashboards @ Product Practice Newsletter](https://newsletter.herbig.co/posts/354).]]>
            </summary>
            <updated>2025-08-28T19:24:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1250</id>
            <title type="text"><![CDATA[Vistaly]]></title>
            <link rel="alternate" href="https://www.vistaly.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1250"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Continuous Discovery Platform for Product teams.
Visually connect day-to-day product work to Outcomes/OKRs|
Purpose-built tool for creating Opportunity Solution Trees, enriching them with customer interview notes and product feedback, and tying them to KPIs and Quarterly Goals.

Related contents:

- [Stop Looking at Flat Dashboards @ Product Practice Newsletter](https://newsletter.herbig.co/posts/354).]]>
            </summary>
            <updated>2025-08-28T19:24:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1348</id>
            <title type="text"><![CDATA[Adalanche]]></title>
            <link rel="alternate" href="https://github.com/lkarlslund/adalanche" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1348"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[_Adalanche_ is an Attack Graph Visualizer and Explorer for Active Directory.
It shows the permissions users and groups have in an Active Directory.
It&amp;#039;s useful for visualizing and exploring who can take over accounts, machines,
or the entire domain.
It can find and show misconfigurations.

Related contents:

- [⚠️⚠️⚠️ Plongez au Cœur des Attaques de votre Active Directory !
  @ Laurent Biagiotti&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/posts/laurent-biagiotti-19779284_plongez-au-c%C5%93ur-des-attaques-de-votre-activity-7304403087190884352-3TBM/).]]>
            </summary>
            <updated>2025-08-28T19:41:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1424</id>
            <title type="text"><![CDATA[JSON Tree]]></title>
            <link rel="alternate" href="https://jsontr.ee/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1424"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[JSON Formatter, Validator &amp;amp; Viewer Online.

Effortlessly visualize JSON structures as interactive and dynamic tree diagrams. 

jsontr.ee is a lightweight JavaScript library that transforms JSON data into beautifully rendered, interactive tree diagrams using SVG. Designed for simplicity and flexibility, it supports both arrays and nested objects, ensuring clear and intuitive visualizations of complex data structures.

- [jsontr.ee @ GitHub](https://github.com/xzitlou/jsontr.ee).

Related contents:

- [\#106 - Les news web dev pour février 2025 @ Double Slash :fr:](https://double-slash.dev/podcasts/news-feb25/).]]>
            </summary>
            <updated>2025-08-28T19:53:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1442</id>
            <title type="text"><![CDATA[R]]></title>
            <link rel="alternate" href="https://www.r-project.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1442"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The R Project for Statistical Computing.

R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.

Related contents:

- [Episode 608: R With Eric Nantz @ Coder Radio](https://coder.show/608).
- [R Weekly Highlights](https://serve.podhome.fm/r-weekly-highlights).
- [R Podcast](https://r-podcast.org).
- [If all the world were a monorepo @ Julie&amp;#039;s Substack](https://jtibs.substack.com/p/if-all-the-world-were-a-monorepo).
- [Python is not a great language for data science. Part 1: The experience @ Genes, Minds, Machines](https://blog.genesmindsmachines.com/p/python-is-not-a-great-language-for).]]>
            </summary>
            <updated>2025-11-26T13:15:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1513</id>
            <title type="text"><![CDATA[Sigmon]]></title>
            <link rel="alternate" href="https://github.com/tcsenpai/sigmon" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1513"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A tool to monitor WiFi signal strength and metrics continuously in the terminal. It uses iwconfig to get the metrics and plotext to plot them.

Related contents:

- [Newsletter du 10 Février 2025 @ Rudeops :fr:](https://www.rudeops.com/newsletter/2025-02-10-rudeops-newsletter/).]]>
            </summary>
            <updated>2025-08-28T20:08:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1531</id>
            <title type="text"><![CDATA[Visprex]]></title>
            <link rel="alternate" href="https://www.visprex.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1531"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visualise your CSV files in seconds without sending your data anywhere.

- [Visprex documentation](https://docs.visprex.com/).
- [Visprex @ GitHub](https://github.com/visprex/visprex).]]>
            </summary>
            <updated>2025-08-28T20:11:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1534</id>
            <title type="text"><![CDATA[Vega-Lite]]></title>
            <link rel="alternate" href="https://vega.github.io/vega-lite/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1534"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A High-Level Grammar of Interactive Graphics.

Vega-Lite is a high-level grammar of interactive graphics. It provides a concise, declarative JSON syntax to create an expressive range of visualizations for data analysis and presentation. 

- [Vega-Lite @ GitHub](https://github.com/vega/vega-lite).]]>
            </summary>
            <updated>2025-08-28T20:11:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1578</id>
            <title type="text"><![CDATA[Data Formulator]]></title>
            <link rel="alternate" href="https://github.com/microsoft/data-formulator" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1578"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🪄 Create rich visualizations with AI

Data Formulator is an application from Microsoft Research that uses large language models to transform data, expediting the practice of data visualization.

Data Formulator is an AI-powered tool for analysts to iteratively create rich visualizations. Unlike most chat-based AI tools where users need to describe everything in natural language, Data Formulator combines user interface interactions (UI) and natural language (NL) inputs for easier interaction. This blended approach makes it easier for users to describe their chart designs while delegating data transformation to AI.]]>
            </summary>
            <updated>2025-09-04T09:35:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1675</id>
            <title type="text"><![CDATA[Raven]]></title>
            <link rel="alternate" href="https://github.com/qeeqbox/raven" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1675"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Advanced Cyber Threat Map (Simplified, customizable, responsive and optimized).

Advanced Cyber Threat Map (Simplified, customizable and responsive. It uses D3.js with TOPO JSON, has 247 countries, ~100,000 cities, and can be used in an isolated environment without external lookups!.]]>
            </summary>
            <updated>2025-08-28T20:35:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1757</id>
            <title type="text"><![CDATA[Our World in Data]]></title>
            <link rel="alternate" href="https://ourworldindata.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1757"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Research and data to make progress against the world’s largest problems.

To make progress against the pressing problems the world faces, we need to be informed by the best research and data.

Our World in Data makes this knowledge accessible and understandable, to empower those working to build a better world.]]>
            </summary>
            <updated>2025-08-28T20:48:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1820</id>
            <title type="text"><![CDATA[PostgreSQL execution plan visualizer]]></title>
            <link rel="alternate" href="https://explain.dalibo.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1820"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visualizing and understanding PostgreSQL EXPLAIN plans made easy. 

A VueJS component to show a graphical vizualization of a PostgreSQL execution plan.

- [PostgreSQL execution plan visualizer 2 @ GitHub](https://github.com/dalibo/pev2).]]>
            </summary>
            <updated>2025-08-28T20:59:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1821</id>
            <title type="text"><![CDATA[pgMustard]]></title>
            <link rel="alternate" href="https://www.pgmustard.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1821"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[review Postgres query plans quickly.

A simple yet powerful tool to help you speed up queries. pgMustard speeds up your journey from knowing which query is a problem to working out what can be done about it.]]>
            </summary>
            <updated>2025-08-28T20:59:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1888</id>
            <title type="text"><![CDATA[Serial Studio]]></title>
            <link rel="alternate" href="https://serial-studio.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1888"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visualize your data. A dashboard for your embedded projects.

Serial Studio allows you to easily display, process &amp;amp; export data from your embedded projects. The application is able to interact with serial ports, network sockets &amp;amp; MQTT brokers.

- [Serial Studio @ GitHub](https://github.com/Serial-Studio/Serial-Studio).]]>
            </summary>
            <updated>2025-08-28T21:12:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1921</id>
            <title type="text"><![CDATA[Stata]]></title>
            <link rel="alternate" href="https://www.stata.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1921"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your data tell a story. Explore. Visualize. Model. Make a difference.
Better insight starts with Stata.

Stata is statistical software for data science.]]>
            </summary>
            <updated>2025-08-28T21:16:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2024</id>
            <title type="text"><![CDATA[📊 A-Packets]]></title>
            <link rel="alternate" href="https://apackets.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2024"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Online PCAP Analysis and Network Traffic Insights.

Effortless PCAP File Analysis in Your Browser

Explore and analyze PCAP files online using A-Packets, designed to provide comprehensive insights into network protocols like IPv4/IPv6, HTTP, Telnet, FTP, DNS, SSDP, and WPA2. This tool allows users to easily view details of network communications and dissect layers of data transmission.]]>
            </summary>
            <updated>2025-08-28T21:33:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2077</id>
            <title type="text"><![CDATA[git-of-theseus]]></title>
            <link rel="alternate" href="https://github.com/erikbern/git-of-theseus" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2077"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Analyze how a Git repo grows over time.]]>
            </summary>
            <updated>2025-08-28T21:42:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2709</id>
            <title type="text"><![CDATA[1 dataset. 100 visualizations.]]></title>
            <link rel="alternate" href="https://100.datavizproject.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2709"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Can we come up with 100 visualizations from one simple dataset?

As an information design agency working with data visualization every day, we challenged ourselves to accomplish this using insightful and visually appealing visualizations.

We wanted to show the diversity and complexity of data visualization and how we can tell different stories using limited visual properties and assets.]]>
            </summary>
            <updated>2025-08-28T23:29:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2728</id>
            <title type="text"><![CDATA[React minimal pie chart]]></title>
            <link rel="alternate" href="https://github.com/toomuchdesign/react-minimal-pie-chart?tab=readme-ov-file" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2728"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Lightweight React SVG pie charts, with versatile options and CSS animation included. ~2kB gzipped.]]>
            </summary>
            <updated>2025-08-28T23:31:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2729</id>
            <title type="text"><![CDATA[Recharts]]></title>
            <link rel="alternate" href="https://recharts.org/en-US/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2729"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A composable charting library built on React components.
 Redefined chart library built with React and D3. 

- [Recharts @ GitHub](https://github.com/recharts/recharts).]]>
            </summary>
            <updated>2025-08-28T23:31:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2771</id>
            <title type="text"><![CDATA[git-graph]]></title>
            <link rel="alternate" href="https://github.com/mlange-42/git-graph/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2771"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A command line tool to visualize Git history graphs in a comprehensible way, following different branching models.]]>
            </summary>
            <updated>2025-08-28T23:38:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2793</id>
            <title type="text"><![CDATA[KubeHound]]></title>
            <link rel="alternate" href="https://kubehound.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2793"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Tool for building Kubernetes attack paths. 

KubeHound creates a graph of attack paths in a Kubernetes cluster, allowing you to identify direct and multi-hop routes an attacker is able to take, visually or through complex graph queries.

- [KubeHound @ GitHub](https://github.com/DataDog/KubeHound).]]>
            </summary>
            <updated>2025-08-28T23:42:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2829</id>
            <title type="text"><![CDATA[VivaGraphJS]]></title>
            <link rel="alternate" href="https://github.com/anvaka/VivaGraphJS" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2829"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Graph drawing library for JavaScript.

VivaGraphJS is designed to be extensible and to support different rendering engines and layout algorithms. Underlying algorithms have been broken out into ngraph.]]>
            </summary>
            <updated>2025-08-28T23:49:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2873</id>
            <title type="text"><![CDATA[Graphic Walker]]></title>
            <link rel="alternate" href="https://docs.kanaries.net/graphic-walker" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2873"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Graphic Walker is a different open-source alternative to Tableau. It allows data scientists to analyze data and visualize patterns with simple drag-and-drop / natural language query operations.

- [Graphic Walker @ GitHub](https://github.com/Kanaries/graphic-walker).]]>
            </summary>
            <updated>2025-08-28T23:55:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2874</id>
            <title type="text"><![CDATA[Panel Graphic Walker]]></title>
            <link rel="alternate" href="https://github.com/panel-extensions/panel-graphic-walker" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2874"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A project providing a Graphic Walker Pane for use with HoloViz Panel. 

A simple way to explore your data through a Tableau-like interface directly in your Panel data applications.

panel-graphic-walker brings the power of Graphic Walker to your data science workflow, seamlessly integrating interactive data exploration into notebooks and Panel applications. Effortlessly create dynamic visualizations, analyze datasets, and build dashboards—all within a Pythonic, intuitive interface.]]>
            </summary>
            <updated>2025-08-28T23:55:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2878</id>
            <title type="text"><![CDATA[DataEase]]></title>
            <link rel="alternate" href="https://dataease.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2878"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[DataEase is an open source data visualization analysis tool that helps users quickly analyze data and gain insights into business trends, thereby improving and optimizing their business. DataEase supports a wide range of data source connections, can quickly create charts by dragging and dropping, and can be easily shared with others.

- [DataEase @ GitHub](https://github.com/dataease/dataease).]]>
            </summary>
            <updated>2025-08-28T23:57:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2962</id>
            <title type="text"><![CDATA[NPM Chart]]></title>
            <link rel="alternate" href="https://npm.chart.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2962"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Search for a package to see its download stats over time. 

Visualize npm downloads in a beautiful chart, ready to be shared with your community. 

- [NPM Chart @ GitHub](https://github.com/atinux/npm-chart).]]>
            </summary>
            <updated>2025-08-29T00:10:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3053</id>
            <title type="text"><![CDATA[Shiny for Python]]></title>
            <link rel="alternate" href="https://shiny.posit.co/py/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3053"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Effortless Python web applications with the power of reactive programming. 

Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an afternoon. But unlike other frameworks targeted at data scientists, Shiny does not limit your app&amp;#039;s growth. Shiny remains extensible enough to power large, mission-critical applications.

- [Shiny for Python @ GitHub](https://github.com/posit-dev/py-shiny).]]>
            </summary>
            <updated>2025-08-29T00:25:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3315</id>
            <title type="text"><![CDATA[Redash]]></title>
            <link rel="alternate" href="https://redash.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3315"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Redash helps you make sense of your data.  Make Your Company Data Driven.
Connect and query your data sources, build dashboards to visualize data and share them with your company.

Redash is designed to enable anyone, regardless of the level of technical sophistication, to harness the power of data big and small. SQL users leverage Redash to explore, query, visualize, and share data from any data sources. Their work in turn enables anybody in their organization to use the data. Every day, millions of users at thousands of organizations around the world use Redash to develop insights and make data-driven decisions.

- [Redash @ GitHub](https://github.com/getredash/redash).]]>
            </summary>
            <updated>2025-08-29T01:08:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3378</id>
            <title type="text"><![CDATA[France GeoJSON :fr:]]></title>
            <link rel="alternate" href="https://france-geojson.gregoiredavid.fr/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3378"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Le projet Github france-geojson propose au format GeoJSON les cartes des régions, départements, arrondissements, cantons et communes de France (métropole et départements d&amp;#039;outre-mer) à partir des données publiées par l&amp;#039;IGN et l&amp;#039;INSEE.

- [France GeoJSON @ GitHub](https://github.com/gregoiredavid/france-geojson).]]>
            </summary>
            <updated>2026-01-06T10:04:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3459</id>
            <title type="text"><![CDATA[TanStack]]></title>
            <link rel="alternate" href="https://tanstack.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3459"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[High-quality open-source software for web developers.

Headless, type-safe, &amp;amp; powerful utilities for Web Applications, Routing, State Management, Data Visualization, Datagrids/Tables, and more.

- [TanStack @ GitHub](https://github.com/tanstack).

Related contents:

- [TanStack and TanRouter with Tanner Linsley @ PodRocket](https://podrocket.logrocket.com/tanstack-tanrouter-tanner-linsley).
- [Loading Data with TanStack Router: Getting Going @ FrontendMasters Boost](https://frontendmasters.com/blog/tanstack-router-data-loading-1/).
- [TanStack Start: A Full-Stack React Framework but Client-First @ Dev Leonardo&amp;#039;s YouTube](https://www.youtube.com/watch?v=PUf8DzCvrdc).
- [Next.js vs TanStack @ Kyle Gill](https://www.kylegill.com/essays/next-vs-tanstack/).
- [The Beauty of TanStack Router @ TkDodo&amp;#039;s Blog](https://tkdodo.eu/blog/the-beauty-of-tan-stack-router).]]>
            </summary>
            <updated>2025-08-29T01:33:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3596</id>
            <title type="text"><![CDATA[ThingsBoard]]></title>
            <link rel="alternate" href="https://thingsboard.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3596"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source IoT (Internet of Things) Platform.

Device management, data collection, processing and visualization for your IoT solution.

- [ThingsBoard @ GitHub](https://github.com/thingsboard/thingsboard).]]>
            </summary>
            <updated>2025-08-29T01:57:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3617</id>
            <title type="text"><![CDATA[CesiumJS]]></title>
            <link rel="alternate" href="https://cesium.com/platform/cesiumjs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3617"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source JavaScript library for world-class 3D globes and maps 🌎 

CesiumJS is an open source JavaScript library for creating world-class 3D globes and maps with the best possible performance, precision, visual quality, and ease of use. Developers across industries, from aerospace to smart cities to drones, use CesiumJS to create interactive web apps for sharing dynamic geospatial data.

- [CesiumJS @ GitHub](https://github.com/CesiumGS/cesium).]]>
            </summary>
            <updated>2025-08-29T01:59:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3810</id>
            <title type="text"><![CDATA[Argdown]]></title>
            <link rel="alternate" href="https://argdown.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3810"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A simple syntax for complex argumentation.

- Listing pros &amp;amp; cons in Argdown is as simple as writing a twitter message. You don&amp;#039;t have to learn anything new, except a few simple rules that will feel very natural.
- With these simple rules you will be able to define more complex relations between arguments or dive into the details of their logical premise-conclusion structures.

- [Argdown @ GitHub](https://github.com/christianvoigt/argdown).]]>
            </summary>
            <updated>2025-08-29T02:31:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3812</id>
            <title type="text"><![CDATA[MySQL Visual Explain]]></title>
            <link rel="alternate" href="https://mysqlexplain.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3812"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visual EXPLAIN for MySQL

Research a slow query&amp;#039;s performance problems on a simple visualization instead of trying to understand MySQL&amp;#039;s cryptic output.]]>
            </summary>
            <updated>2025-08-29T02:31:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3905</id>
            <title type="text"><![CDATA[kubectl-graph]]></title>
            <link rel="alternate" href="https://github.com/steveteuber/kubectl-graph" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3905"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A kubectl plugin to visualize Kubernetes resources and relationships.]]>
            </summary>
            <updated>2025-08-29T02:47:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3909</id>
            <title type="text"><![CDATA[Ansible Playbook Grapher]]></title>
            <link rel="alternate" href="https://github.com/haidaraM/ansible-playbook-grapher" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3909"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A command line tool to create a graph representing your Ansible playbook tasks and roles.

ansible-playbook-grapher is a command line tool to create a graph representing your Ansible playbook plays, tasks and roles. The aim of this project is to have an overview of your playbook.]]>
            </summary>
            <updated>2025-08-29T02:49:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3951</id>
            <title type="text"><![CDATA[Gource]]></title>
            <link rel="alternate" href="https://gource.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3951"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[a software version control visualization tool.

Software projects are displayed by Gource as an animated tree with the root directory of the project at its centre. Directories appear as branches with files as leaves. Developers can be seen working on the tree at the times they contributed to the project.

- [Gource @ GitHub](https://github.com/acaudwell/Gource).
- [Ep 33: Welcome Homepage @ Linux Matters](https://linuxmatters.sh/33/).]]>
            </summary>
            <updated>2025-08-29T02:54:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4087</id>
            <title type="text"><![CDATA[Code Galaxies]]></title>
            <link rel="alternate" href="https://anvaka.github.io/pm/#/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4087"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visualization of languages and linux distribution packages dependencies.

- [Software Galaxies @ GitHub](https://github.com/anvaka/pm/).]]>
            </summary>
            <updated>2025-08-29T03:18:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4090</id>
            <title type="text"><![CDATA[nmap-did-what]]></title>
            <link rel="alternate" href="https://github.com/hackertarget/nmap-did-what" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4090"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Nmap Dashboard Mini Project.

nmap-did-what is a Grafana docker container and a Python script to parse Nmap XML output to an SQLite database. The SQLite database is used as a datasource within Grafana to view the Nmap scan details in a dashboard.]]>
            </summary>
            <updated>2025-08-29T03:18:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4091</id>
            <title type="text"><![CDATA[WebMap-Nmap]]></title>
            <link rel="alternate" href="https://github.com/SabyasachiRana/WebMap" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4091"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Web Dashboard and Reporting.  A Web Dashbord for Nmap XML Report.]]>
            </summary>
            <updated>2025-08-29T03:18:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4200</id>
            <title type="text"><![CDATA[passeport.dev]]></title>
            <link rel="alternate" href="https://passeport.dev/en" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4200"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[It&amp;#039;s not about the language. Discover a new way of visualizing your tech skills.

Visualize your team&amp;#039;s skills instantly.
Discover a consolidated collective view based on the different software engineering skills of each member.

- [Stan : Identifier ce dont son équipe a besoin pour lui permettre de se développer @ Developer Experience&amp;#039;s ausha :fr:](https://podcast.ausha.co/developer-experience/stan-amsellem).]]>
            </summary>
            <updated>2025-08-29T03:38:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4276</id>
            <title type="text"><![CDATA[Open DMARC Analyzer]]></title>
            <link rel="alternate" href="https://github.com/userjack6880/Open-DMARC-Analyzer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4276"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open DMARC Analyzer is an Open Source DMARC Report Analyzer to be used with DMARC reports that have been parsed by John Levine&amp;#039;s rrdmarc script or techsneeze&amp;#039;s dmarcts-report-parser.

- [Open Report Parser @ GitHub](https://github.com/userjack6880/Open-Report-Parser).]]>
            </summary>
            <updated>2025-08-29T03:50:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4277</id>
            <title type="text"><![CDATA[parsedmarc]]></title>
            <link rel="alternate" href="https://domainaware.github.io/parsedmarc/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4277"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source DMARC report analyzer and visualizer

- [parsedmarc @ GitHub](https://github.com/domainaware/parsedmarc).
- [parsedmarc-dockerized @ GitHub](https://github.com/patschi/parsedmarc-dockerized).
- [dmarc-visualizer @ GitHub](https://github.com/debricked/dmarc-visualizer).
- [Analyze and visualize DMARC results using open source tools @ debricked blog](https://debricked.com/blog/analyze-and-visualize-dmarc-report/).
- [Set Up ParseDMARC on Ubuntu 20.04 to Analyze DMARC Reports @ LinuxBabe](https://www.linuxbabe.com/mail-server/parsedmarc-ubuntu-20-04).]]>
            </summary>
            <updated>2025-08-29T03:50:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4289</id>
            <title type="text"><![CDATA[Seaborn]]></title>
            <link rel="alternate" href="https://seaborn.pydata.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4289"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[statistical data visualization.

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

- [Seaborn @ GitHub](https://github.com/mwaskom/seaborn).
- [La veille des Ours n°31 @ Bearstech&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/pulse/la-veille-des-ours-n31-bearstech-gbmgf/).]]>
            </summary>
            <updated>2025-08-29T03:51:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4292</id>
            <title type="text"><![CDATA[Sha256 Algorithm Explained]]></title>
            <link rel="alternate" href="https://sha256algorithm.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4292"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Sha256 algorithm explained online step by step visually.

Sha256 algorithm explained online step by step visually sha256algorithm.com This website will help you understand how a sha256 hash is calculated from start to finish.

- [Sha256algorithm @ GitHub](https://github.com/dmarman/sha256algorithm)]]>
            </summary>
            <updated>2025-08-29T03:52:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4397</id>
            <title type="text"><![CDATA[3D Dom viewer]]></title>
            <link rel="alternate" href="https://gist.github.com/OrionReed/4c3778ebc2b5026d2354359ca49077ca" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4397"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[3D DOM viewer, copy-paste this into your console to visualise the DOM topographically.]]>
            </summary>
            <updated>2025-08-29T04:10:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4667</id>
            <title type="text"><![CDATA[Perses]]></title>
            <link rel="alternate" href="https://github.com/perses/perses" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4667"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The CNCF candidate for observability visualisation. Already supports Prometheus - more data sources to come!
It aims to become a standard dashboard visualization tool for Prometheus and other datasources. It will focus on being GitOps-compatible and thus enabling a smooth &amp;quot;dashboards as code&amp;quot; workflow via a new and well-defined dashboard definition model.

- [O11y Guide: Getting Started With Perses @ DZone](https://dzone.com/articles/o11y-guide-getting-started-with-perses).
- [Open Dashboard and Visualization Workshop: Introduction and Installing Perses @ DZone](https://dzone.com/articles/open-dashboard-and-visualization-workshop-introduc).]]>
            </summary>
            <updated>2025-08-29T04:54:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4803</id>
            <title type="text"><![CDATA[Charts.css]]></title>
            <link rel="alternate" href="https://chartscss.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4803"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Charts.css is an open source CSS framework for data visualization.

Visualization help end-users understand data. Charts.css help frontend developers turn data into beautiful charts and graphs using simple CSS classes.

- [Charts.css @ GitHub](https://github.com/ChartsCSS/charts.css).]]>
            </summary>
            <updated>2025-08-29T05:17:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4862</id>
            <title type="text"><![CDATA[pscircle]]></title>
            <link rel="alternate" href="https://gitlab.com/mildlyparallel/pscircle" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4862"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[pscircle visualizes Linux processes in a form of radial tree.

- [Linux Candy: pscircle visualizes Linux processes in a form of radial tree @ LinuxLinks](https://www.linuxlinks.com/linux-candy-pscircle-visualizes-linux-processes/).]]>
            </summary>
            <updated>2025-08-29T05:27:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4947</id>
            <title type="text"><![CDATA[Submarine Cable Map 2023]]></title>
            <link rel="alternate" href="https://submarine-cable-map-2023.telegeography.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4947"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This new edition depicts 529 cable systems and 1,444 landings that are currently active or under construction.]]>
            </summary>
            <updated>2025-08-29T05:41:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4955</id>
            <title type="text"><![CDATA[Faraday Security]]></title>
            <link rel="alternate" href="https://faradaysec.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4955"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Protect your business, scale your security.  Open Source Vulnerability Management Platform.

Security has two difficult tasks: designing smart ways of getting new information, and keeping track of findings to improve remediation efforts. With Faraday, you may focus on discovering vulnerabilities while we help you with the rest. Just use it in your terminal and get your work organized on the run. Faraday was made to let you take advantage of the available tools in the community in a truly multiuser way.

Faraday aggregates and normalizes the data you load, allowing exploring it into different visualizations that are useful to managers and analysts alike.

[Faraday @ GitHub](https://github.com/infobyte/faraday).]]>
            </summary>
            <updated>2025-08-29T05:43:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4959</id>
            <title type="text"><![CDATA[Folium]]></title>
            <link rel="alternate" href="https://python-visualization.github.io/folium/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4959"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js library. Manipulate your data in Python, then visualize it in a Leaflet map via Folium.

[Folium @ GitHub](https://github.com/python-visualization/folium)]]>
            </summary>
            <updated>2025-08-29T05:43:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5013</id>
            <title type="text"><![CDATA[LIDA]]></title>
            <link rel="alternate" href="https://microsoft.github.io/lida/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5013"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Automatic Generation of Visualizations and Infographics with LLMs.

LIDA is a library for generating data visualizations and data-faithful infographics. LIDA is grammar agnostic (will work with any programming language and visualization libraries e.g. matplotlib, seaborn, altair, d3 etc) and works with multiple large language model providers (OpenAI, PaLM, Cohere, Huggingface). Details on the components of LIDA are described in the paper here and in this tutorial notebook. See the project page here for updates!.

[LIDA @ GitHub](https://github.com/microsoft/lida).]]>
            </summary>
            <updated>2025-08-29T05:52:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5057</id>
            <title type="text"><![CDATA[Kiri]]></title>
            <link rel="alternate" href="https://github.com/leoheck/kiri" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5057"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Kiri is a visual tool designed for reviewing schematics and layouts of KiCad projects that are version-controlled with Git.]]>
            </summary>
            <updated>2025-08-29T05:59:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5123</id>
            <title type="text"><![CDATA[C2Live]]></title>
            <link rel="alternate" href="https://github.com/YoNixNeXRo/C2Live" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5123"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Track C2 over time by framework and location.

C2Live is an open-source project aimed at providing a comprehensive and interactive platform for tracking Command and Control (C2) malicious IP addresses over time.]]>
            </summary>
            <updated>2025-08-29T06:11:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5129</id>
            <title type="text"><![CDATA[Wavesurfer.js]]></title>
            <link rel="alternate" href="https://wavesurfer-js.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5129"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[audio waveform player JavaScript library.

Wavesurfer.js is an open-source audio visualization library for creating interactive, customizable waveforms.

- [Wavesurfer.js @ GitHub](https://github.com/katspaugh/wavesurfer.js).]]>
            </summary>
            <updated>2025-08-29T06:11:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5136</id>
            <title type="text"><![CDATA[Orange Data Mining]]></title>
            <link rel="alternate" href="https://orangedatamining.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5136"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Data Mining, Fruitful and Fun

Open source machine learning and data visualization.

Build data analysis workflows visually, with a large, diverse toolbox.

[Orange Data Mining @ GitHub](https://github.com/biolab/orange3).]]>
            </summary>
            <updated>2025-08-29T06:12:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5258</id>
            <title type="text"><![CDATA[Dicopal]]></title>
            <link rel="alternate" href="https://github.com/riatelab/dicopal.js" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5258"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Discrete color palettes (hundreds of them!) for JavaScript.]]>
            </summary>
            <updated>2025-08-29T06:33:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5330</id>
            <title type="text"><![CDATA[SQLPage]]></title>
            <link rel="alternate" href="https://sql.ophir.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5330"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source low-code web application framework. Create full websites writing only simple database queries.

SQLpage is an SQL-only webapp builder. It is meant for data scientists, analysts, and business intelligence teams to build powerful data-centric applications quickly, without worrying about any of the traditional web programming languages and concepts.

With SQLPage, you write simple .sql files containing queries to your database to select, group, update, insert, and delete your data, and you get good-looking clean webpages displaying your data as text, lists, grids, plots, and forms.

[SQLPage @ GitHub](https://github.com/lovasoa/SQLPage).]]>
            </summary>
            <updated>2025-08-29T06:45:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5402</id>
            <title type="text"><![CDATA[OSINTBuddy]]></title>
            <link rel="alternate" href="https://docs-osintbuddy-com.vercel.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5402"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Mine, merge, and map data for novel insights. 

Open Source Intelligence. Fetch data from different sources and returns the results as visual entities that you can explore step-by-step.

[OSINTBuddy @ GitHub](https://github.com/jerlendds/osintbuddy).]]>
            </summary>
            <updated>2025-08-29T06:56:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5476</id>
            <title type="text"><![CDATA[Apache Superset]]></title>
            <link rel="alternate" href="https://superset.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5476"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

- [Superset @ GitHub](https://github.com/apache/superset)]]>
            </summary>
            <updated>2025-09-19T12:23:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5481</id>
            <title type="text"><![CDATA[Visual Capitalist]]></title>
            <link rel="alternate" href="https://www.visualcapitalist.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5481"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[]]>
            </summary>
            <updated>2025-08-29T07:11:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5503</id>
            <title type="text"><![CDATA[Graphic Walker]]></title>
            <link rel="alternate" href="https://github.com/Kanaries/graphic-walker" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5503"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open source alternative to Tableau. Easily embedded as a component in web apps.

Graphic Walker is a different type of open-source alternative to Tableau. It allows data scientists to analyze data and visualize patterns with simple drag-and-drop operations.]]>
            </summary>
            <updated>2025-08-29T07:14:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5504</id>
            <title type="text"><![CDATA[PyGWalker]]></title>
            <link rel="alternate" href="https://github.com/Kanaries/pygwalker" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5504"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turn your pandas dataframe into a Tableau-style User Interface for visual analysis.

PyGWalker: A Python Library for Exploratory Data Analysis with Visualization]]>
            </summary>
            <updated>2025-08-29T07:14:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5721</id>
            <title type="text"><![CDATA[Kangas]]></title>
            <link rel="alternate" href="https://github.com/comet-ml/kangas" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5721"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🦘 Explore multimedia datasets at scale.

Kangas is a tool for exploring, analyzing, and visualizing large-scale multimedia data. It provides a straightforward Python API for logging large tables of data, along with an intuitive visual interface for performing complex queries against your dataset.]]>
            </summary>
            <updated>2025-08-29T07:50:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5783</id>
            <title type="text"><![CDATA[Textures.js]]></title>
            <link rel="alternate" href="https://riccardoscalco.it/textures/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5783"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Textures.js is a JavaScript library for creating SVG patterns. Made on top of d3.js, it is designed for data visualization.

[Textures.js @ GitHub](https://github.com/riccardoscalco/textures).]]>
            </summary>
            <updated>2025-08-29T08:00:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5923</id>
            <title type="text"><![CDATA[Tremor]]></title>
            <link rel="alternate" href="https://www.tremor.so/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5923"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The React library to build dashboards fast.

Tremor lets you create simple and modular components to build insightful dashboards in a breeze. Fully open-source, made by data scientists and software engineers with a sweet spot for design.

[Tremor @ GitHub](https://github.com/tremorlabs/tremor)]]>
            </summary>
            <updated>2025-08-29T08:24:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5933</id>
            <title type="text"><![CDATA[YouPlot]]></title>
            <link rel="alternate" href="https://github.com/red-data-tools/YouPlot" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5933"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[YouPlot is a command line tool that draws plots on the terminal.]]>
            </summary>
            <updated>2025-08-29T08:25:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5980</id>
            <title type="text"><![CDATA[Rete.js]]></title>
            <link rel="alternate" href="https://rete.js.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5980"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Rete is a modular framework for visual programming. Rete allows you to create node-based editor directly in the browser. You can define nodes and workers that allow users to create instructions for processing data in your editor without a single line of code.

[Rete @ GitHub](https://github.com/retejs/rete)]]>
            </summary>
            <updated>2025-08-29T08:33:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5983</id>
            <title type="text"><![CDATA[Git-Heat-Map]]></title>
            <link rel="alternate" href="https://github.com/jmforsythe/Git-Heat-Map" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5983"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Git-Heat-Map highlights the most changed files in a repository.

Related contents:

- [Episode \#107: Git with your friends (remastered) @ Changelog &amp;amp; Friends](https://changelog.com/friends/107).]]>
            </summary>
            <updated>2025-09-05T03:43:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6009</id>
            <title type="text"><![CDATA[git-sim]]></title>
            <link rel="alternate" href="https://github.com/initialcommit-com/git-sim" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6009"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visually simulate Git operations in your own repos with a single terminal command.
This generates an image (default) or video visualization depicting the Git command&amp;#039;s behavior.

Related contents:

- [git-sim: Visually simulate Git operations in your own repos @ Initial Commit](https://initialcommit.com/tools/git-sim).
- [Episode \#107: Git with your friends (remastered) @ Changelog &amp;amp; Friends](https://changelog.com/friends/107).]]>
            </summary>
            <updated>2025-09-05T03:41:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6156</id>
            <title type="text"><![CDATA[From data to Viz]]></title>
            <link rel="alternate" href="https://www.data-to-viz.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6156"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Find the graphic you need.
From Data to Viz leads you to the most appropriate graph for your data. It links to the code to build it and lists common caveats you should avoid.]]>
            </summary>
            <updated>2025-08-29T09:02:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6157</id>
            <title type="text"><![CDATA[Chart Chooser]]></title>
            <link rel="alternate" href="https://www.juiceanalytics.com/chartchooser" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6157"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Chart Chooser is the quickest path to better Excel &amp;amp; PowerPoint charts. Download a template.]]>
            </summary>
            <updated>2025-08-29T09:02:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6158</id>
            <title type="text"><![CDATA[Data Viz Project]]></title>
            <link rel="alternate" href="https://datavizproject.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6158"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Collection of data visualizations to get inspired and find the right type.
This is a website trying to present all relevant data visualizations, so you can find the right visualization and get inspired how to make them.]]>
            </summary>
            <updated>2025-08-29T09:04:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6159</id>
            <title type="text"><![CDATA[The Data Visualisation Catalogue]]></title>
            <link rel="alternate" href="https://datavizcatalogue.com/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6159"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Here you can find a list of charts categorised by their data visualization functions or by what you want a chart to communicate to an audience. While the allocation of each chart into specific functions isn&amp;#039;t a perfect system, it still works as a useful guide for selecting chart based on your analysis or communication needs.]]>
            </summary>
            <updated>2025-08-29T09:04:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6168</id>
            <title type="text"><![CDATA[WebPlotDigitizer]]></title>
            <link rel="alternate" href="https://automeris.io/WebPlotDigitizer/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6168"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Extract data from plots, images, and maps.
A web based tool to extract numerical data from plot images. Supports XY, Polar, Ternary diagrams and Maps. 
It is often necessary to reverse engineer images of data visualizations to extract the underlying numerical data. WebPlotDigitizer is a semi-automated tool that makes this process extremely easy.

[WebPlotDigitizer @ GitHub](https://github.com/ankitrohatgi/WebPlotDigitizer)]]>
            </summary>
            <updated>2025-08-29T09:05:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6194</id>
            <title type="text"><![CDATA[Python Graph Gallery]]></title>
            <link rel="alternate" href="https://www.python-graph-gallery.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6194"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Welcome to the Python Graph Gallery, a collection of hundreds of charts made with Python. Charts are organized in about 40 sections and always come with their associated reproducible code. They are mostly made with Matplotlib and Seaborn but other library like Plotly are sometimes used.]]>
            </summary>
            <updated>2025-08-29T09:09:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6223</id>
            <title type="text"><![CDATA[Streamlit]]></title>
            <link rel="alternate" href="https://streamlit.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6223"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A faster way to build and share data apps.
Streamlit turns data scripts into shareable web apps in minutes.
All in pure Python. No front‑end experience required.

- [Streamlit @ GitHub](https://github.com/streamlit/streamlit).]]>
            </summary>
            <updated>2025-08-29T09:14:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6267</id>
            <title type="text"><![CDATA[Unovis]]></title>
            <link rel="alternate" href="https://unovis.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6267"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A modular data visualization framework for React, Angular, Svelte, and vanilla TypeScript or JavaScript]]>
            </summary>
            <updated>2025-08-29T09:22:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6285</id>
            <title type="text"><![CDATA[Chart.js]]></title>
            <link rel="alternate" href="https://www.chartjs.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6285"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source HTML5 Charts for your website.
Simple yet flexible JavaScript charting library for the modern web.

[Chart.js @ GitHub](https://github.com/chartjs/Chart.js)]]>
            </summary>
            <updated>2025-08-29T09:25:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6346</id>
            <title type="text"><![CDATA[Data FAIR]]></title>
            <link rel="alternate" href="https://github.com/data-fair/data-fair" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6346"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Findable, Accessible, Interoperable and Reusable Data. A complete open-source solution for your open and private data needs. French only for the time being, internationalization coming soon.]]>
            </summary>
            <updated>2025-08-29T09:35:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6395</id>
            <title type="text"><![CDATA[ParaView]]></title>
            <link rel="alternate" href="https://www.paraview.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6395"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source, multi-platform data analysis and visualization application.
Our award-winning platform allows you to perform data analysis and visualization easily. It has become an integral tool in many national laboratories, universities, and commercial settings. It can run on anything from supercomputers to analyze exascale datasets to laptops for smaller-sized data.]]>
            </summary>
            <updated>2025-08-29T09:43:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6452</id>
            <title type="text"><![CDATA[lowcharts]]></title>
            <link rel="alternate" href="https://github.com/juan-leon/lowcharts" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6452"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Tool to draw low-resolution graphs in terminal.
lowcharts is meant to be used in those scenarios where we have numerical data in text files that we want to display in the terminal to do a basic analysis.]]>
            </summary>
            <updated>2025-08-29T09:53:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6524</id>
            <title type="text"><![CDATA[JSON Crack]]></title>
            <link rel="alternate" href="https://jsoncrack.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6524"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Crack your data into pieces.
Seamlessly visualize your JSON data instantly into graphs.

✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs. 

- [JSON Crack @ GitHub](https://github.com/AykutSarac/jsoncrack.com).]]>
            </summary>
            <updated>2026-02-04T07:42:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6548</id>
            <title type="text"><![CDATA[nivo]]></title>
            <link rel="alternate" href="https://nivo.rocks/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6548"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[nivo provides a rich set of dataviz components, built on top of D3 and React.]]>
            </summary>
            <updated>2025-08-29T10:09:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6585</id>
            <title type="text"><![CDATA[Charts.css]]></title>
            <link rel="alternate" href="http://chartscss.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6585"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Charts.css is a modern CSS framework. It uses CSS utility classes to style HTML elements as charts.]]>
            </summary>
            <updated>2025-08-29T10:14:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7240</id>
            <title type="text"><![CDATA[Metabase]]></title>
            <link rel="alternate" href="https://www.metabase.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7240"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source Business Intelligence

 The simplest, fastest way to get business intelligence and analytics to everyone in your company 😋 

[Metabase @ GitHub](https://github.com/metabase/metabase).]]>
            </summary>
            <updated>2025-08-29T12:03:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7535</id>
            <title type="text"><![CDATA[Recharts]]></title>
            <link rel="alternate" href="http://recharts.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7535"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A composable charting library built on React components.

Recharts is a Redefined chart library built with React and D3.
The main purpose of this library is to help you to write charts in React applications without any pain. 

- [Recharts @ GitHub](https://github.com/recharts/recharts).]]>
            </summary>
            <updated>2025-08-29T12:53:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8022</id>
            <title type="text"><![CDATA[Grafana]]></title>
            <link rel="alternate" href="https://grafana.com/oss/grafana/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8022"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visualize your data, optimize your performance.

Easily collect, correlate, and visualize data with beautiful dashboards using Grafana — the open source data visualization and monitoring solution that drives informed decisions, enhances system performance, and streamlines troubleshooting.

- [Grafana @ GitHub](https://github.com/grafana/grafana).

Related contents:

- [I can’t recommend Grafana anymore @ Henrik Gerdes](https://henrikgerdes.me/blog/2025-11-grafana-mess/).]]>
            </summary>
            <updated>2025-12-01T09:56:55+00:00</updated>
        </entry>
    </feed>
