<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
    <title>statistics</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/351/feed"/>
    <updated>2026-08-03T06:35:13+00:00</updated>
    <id>https://links.biapy.com/guest/tags/351/feed</id>
            <entry>
            <id>https://links.biapy.com/links/10523</id>
            <title type="text"><![CDATA[Cially]]></title>
            <link rel="alternate" href="https://cially.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10523"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Discord AnalyticsMade Simple

Cially is an open-source Discord Server Stats dashboard that provides real-time insights, member activity tracking, and detailed server statistics to help you understand and optimize your Discord community.

 🪼Cially is a powerful, open-source dashboard designed to provide in-depth insights, real-time analytics, and detailed statistics for your Discord server. Monitor member activity, track engagement trends, and make data-driven decisions with ease. 

- [Cially @ GitHub](https://github.com/cially/cially).]]>
            </summary>
            <updated>2025-10-06T05:57:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/182</id>
            <title type="text"><![CDATA[GitHub Readme Stats]]></title>
            <link rel="alternate" href="https://github.com/anuraghazra/github-readme-stats" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/182"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[⚡ Dynamically generated stats for your github readmes.

Related contents:

- [EP 61: Coding in My Pants @ Linux Matters](https://linuxmatters.sh/61/).]]>
            </summary>
            <updated>2025-09-18T15:25:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/216</id>
            <title type="text"><![CDATA[Git Stats]]></title>
            <link rel="alternate" href="https://git-stats.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/216"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Self-Hosted GitHub Clone Analytics.
 Self-hosted Github Repo Analytics Platform - Track Git Clones, Stars &amp;amp; More over time! 

GitHub&amp;#039;s API provides only 14 days of traffic data.
Store and analyze your repository metrics with unlimited retention.

- [Git Stats @ GitHub](https://github.com/taylorwilsdon/git-clone-stats).]]>
            </summary>
            <updated>2025-11-04T10:24:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/454</id>
            <title type="text"><![CDATA[GIT quick statistics]]></title>
            <link rel="alternate" href="https://git-quick-stats.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/454"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simple way to access various statistics in git repository. 
Git quick statistics is a simple and efficient way to access various statistics in git repository. 

Any git repository may contain tons of information about commits, contributors, and files. Extracting this information is not always trivial, mostly because there are a gadzillion options to a gadzillion git commands - I don&amp;#039;t think there is a single person alive who knows them all. Probably not even Linus Torvalds himself :).

- [GIT quick statistics @ GitHub](https://github.com/git-quick-stats/git-quick-stats).]]>
            </summary>
            <updated>2025-08-28T17:13:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/519</id>
            <title type="text"><![CDATA[🎯 Claude Code Usage Monitor]]></title>
            <link rel="alternate" href="https://github.com/Maciek-roboblog/Claude-Code-Usage-Monitor" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/519"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Real-time Claude Code usage monitor with predictions and warnings.

A beautiful real-time terminal monitoring tool for Claude AI token usage. Track your token consumption, burn rate, and get predictions about when you&amp;#039;ll run out of tokens.]]>
            </summary>
            <updated>2025-12-16T07:11:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/821</id>
            <title type="text"><![CDATA[Docker Monitor]]></title>
            <link rel="alternate" href="https://github.com/Drakonis96/dockerstats" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/821"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A web app to monitor usage of your Docker containers. Includes advanced filters, charts and notifications support (browser and pushover).]]>
            </summary>
            <updated>2025-08-28T18:14:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/830</id>
            <title type="text"><![CDATA[VIDVA]]></title>
            <link rel="alternate" href="https://github.com/vanshady/vidva" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/830"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Dashboard for displaying interactive statistics about your Plex media library.]]>
            </summary>
            <updated>2025-08-28T18:16:24+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/3336</id>
            <title type="text"><![CDATA[Stabilizer]]></title>
            <link rel="alternate" href="https://github.com/ccurtsinger/stabilizer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3336"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Statistically Sound Performance Evaluation.

Stabilizer is a system that enables the use of the powerful statistical techniques required for sound performance evaluation on modern architectures. Stabilizer forces executions to sample the space of memory configurations by repeatedly rerandomizing layouts of code, stack, and heap objects at runtime.

- [&amp;quot;Performance Matters&amp;quot; by Emery Berger @ Stange Loop Conference&amp;#039;s YouTube](https://www.youtube.com/watch?v=r-TLSBdHe1A).
- [Playing with BOLT and Postgres @ Tomas Vondra](https://vondra.me/posts/playing-with-bolt-and-postgres/).]]>
            </summary>
            <updated>2025-08-29T01:12:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3351</id>
            <title type="text"><![CDATA[Wakapi]]></title>
            <link rel="alternate" href="https://wakapi.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3351"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Coding Statistics.  📊 A minimalist, self-hosted WakaTime-compatible backend for coding statistics.

Wakapi is an open-source tool that helps you keep track of the time you have spent coding on different projects in different programming languages and more.
Ideal for statistics freaks and anyone else.

- [Wakapi @ GitHub](https://github.com/muety/wakapi).

Related contents:

- [This Week in Self-Hosted (4 October 2024) @ selfh.st](https://selfh.st/newsletter/2024-10-04/).
- [Introducing My Self-Hosted Setup @ Bboysoul&amp;#039;s Blo](https://www.bboy.app/2025/12/04/introducing-my-self-hosted-setup/).]]>
            </summary>
            <updated>2026-01-05T08:13:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3890</id>
            <title type="text"><![CDATA[Plex Rewind]]></title>
            <link rel="alternate" href="https://github.com/RaunoT/plex-rewind" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3890"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Present Plex user statistics and habits in a beautiful and organized manner. 

A Plex Rewind application inspired by the likes of Spotify Wrapped and Tautulli.

Present Plex user statistics and habits in a beautiful and organized manner - as a web application application powered by Next.js and Tailwind.css, using data from Tautulli, Overseerr and Plex. You can also disable the Rewind functionality and just use it as an easily sharable Dashboard for your Plex users or vice versa!]]>
            </summary>
            <updated>2025-08-29T02:45:44+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/4572</id>
            <title type="text"><![CDATA[php-git-insights-analyzer]]></title>
            <link rel="alternate" href="https://github.com/DeGraciaMathieu/php-git-insights-analyzer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4572"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Analyze the Git history of your PHP files.]]>
            </summary>
            <updated>2025-08-29T04:38:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5426</id>
            <title type="text"><![CDATA[scc: Sloc, Cloc and Code]]></title>
            <link rel="alternate" href="https://github.com/boyter/scc" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5426"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go.

A tool similar to cloc, sloccount and tokei. For counting physical the lines of code, blank lines, comment lines, and physical lines of source code in many programming languages.

Goal is to be the fastest code counter possible, but also perform COCOMO calculation like sloccount and to estimate code complexity similar to cyclomatic complexity calculators. In short one tool to rule them all.

Related contents:

- [Supercharging Claude Code with the Right (CLI) Tools @ (think)](https://batsov.com/articles/2026/02/17/supercharging-claude-code-with-the-right-tools/).]]>
            </summary>
            <updated>2026-02-24T07:35:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6429</id>
            <title type="text"><![CDATA[Moesif]]></title>
            <link rel="alternate" href="https://www.moesif.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6429"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Deliver Great Products with API Analytics.
Grow and Monetize API Products.
Activate, engage, and monetize more users with a powerful API analytics platform]]>
            </summary>
            <updated>2025-08-29T09:49:34+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/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/6704</id>
            <title type="text"><![CDATA[ClickHouse]]></title>
            <link rel="alternate" href="https://github.com/ClickHouse/ClickHouse" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6704"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ClickHouse® is a free analytics DBMS for big data.
ClickHouse® is an open-source column-oriented database management system that allows generating analytical data reports in real-time.]]>
            </summary>
            <updated>2025-08-29T10:34:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6732</id>
            <title type="text"><![CDATA[statsd]]></title>
            <link rel="alternate" href="https://github.com/statsd/statsd" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6732"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Daemon for easy but powerful stats aggregation.
A network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).]]>
            </summary>
            <updated>2025-08-29T10:38:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7185</id>
            <title type="text"><![CDATA[Umami]]></title>
            <link rel="alternate" href="https://umami.is/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7185"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Umami is a simple, easy to use, self-hosted web analytics solution. The goal is to provide you with a friendlier, privacy-focused alternative to Google Analytics and a free, open-sourced alternative to paid solutions. Umami collects only the metrics you care about and everything fits on a single page.

[Umami @ GitHub](https://github.com/umami-software/umami).]]>
            </summary>
            <updated>2025-08-29T11:54:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7220</id>
            <title type="text"><![CDATA[Bagage minimal de statistiques pour le Machine Learning - datacorner par Benoit Cayla]]></title>
            <link rel="alternate" href="https://www.datacorner.fr/statistiques-min/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7220"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Bagage minimal de statistiques pour le Machine Learning]]>
            </summary>
            <updated>2025-08-29T12:00:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7221</id>
            <title type="text"><![CDATA[Types of Data &amp;amp; the Scales of Measurement | UNSW Online]]></title>
            <link rel="alternate" href="https://studyonline.unsw.edu.au/blog/types-of-data" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7221"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Learn what data is and discover how understanding the types of data will enable you to inform business strategies and effect change.]]>
            </summary>
            <updated>2025-08-29T12:00:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7259</id>
            <title type="text"><![CDATA[Luna]]></title>
            <link rel="alternate" href="https://www.luna-lang.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7259"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A WYSIWYG language for data processing.]]>
            </summary>
            <updated>2025-08-29T12:07:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7438</id>
            <title type="text"><![CDATA[GoAccess]]></title>
            <link rel="alternate" href="https://goaccess.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7438"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visual Web Log Analyzer.

GoAccess is an open source real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.

It provides fast and valuable HTTP statistics for system administrators that require a visual server report on the fly.

- [GoAccess @ GitHub](https://github.com/allinurl/goaccess).]]>
            </summary>
            <updated>2025-08-29T12:36:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7456</id>
            <title type="text"><![CDATA[countly]]></title>
            <link rel="alternate" href="https://count.ly/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7456"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Mobile Analytics, Web Analytics and Mobile Marketing Platform.
360° Web and Mobile Analytics
Extensible via plugins, on-prem or private cloud deployment options, powerful analytics and marketing features]]>
            </summary>
            <updated>2025-08-29T12:39:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7471</id>
            <title type="text"><![CDATA[Record Query]]></title>
            <link rel="alternate" href="https://github.com/dflemstr/rq" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7471"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[It&amp;#039;s a tool that&amp;#039;s used for performing queries on streams of records in various formats.

The goal is to make ad-hoc exploration of data sets easy without having to use more heavy-weight tools like SQL/MapReduce/custom programs. rq fills a similar niche as tools like awk or sed, but works with structured (record) data instead of text.

It was created with love out of the best parts of Rust, C and Javascript, and is distributed as a dependency-free binary on many operating systems and architectures.]]>
            </summary>
            <updated>2025-08-29T12:42:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7547</id>
            <title type="text"><![CDATA[Graylog]]></title>
            <link rel="alternate" href="https://www.graylog.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7547"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source log management that actually works.]]>
            </summary>
            <updated>2025-08-29T12:55:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7565</id>
            <title type="text"><![CDATA[D3]]></title>
            <link rel="alternate" href="https://github.com/d3/d3" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7565"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[D3 (or D3.js) is a JavaScript library for visualizing data using web standards. D3 helps you bring data to life using SVG, Canvas and HTML. D3 combines powerful visualization and interaction techniques with a data-driven approach to DOM manipulation, giving you the full capabilities of modern browsers and the freedom to design the right visual interface for your data.]]>
            </summary>
            <updated>2025-08-29T12:59:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7669</id>
            <title type="text"><![CDATA[TEAMsCOM]]></title>
            <link rel="alternate" href="http://teamscom.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7669"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Organizational network analysis analysis tool. TEAMsCOM is an organizational network analysis tool which offers an online team overview.]]>
            </summary>
            <updated>2025-08-29T13:15:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7721</id>
            <title type="text"><![CDATA[Bouquet]]></title>
            <link rel="alternate" href="http://openbouquet.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7721"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source analytics toolbox

Analyze your data without writing a line of SQL.]]>
            </summary>
            <updated>2025-08-29T13:24:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7826</id>
            <title type="text"><![CDATA[Malcom - Malware Communication Analyzer]]></title>
            <link rel="alternate" href="https://github.com/tomchop/malcom" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7826"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Malcom is a tool designed to analyze a system&amp;#039;s network communication using graphical representations of network traffic, and cross-reference them with known malware sources. This comes handy when analyzing how certain malware species try to communicate with the outside world.]]>
            </summary>
            <updated>2025-08-29T13:41:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7837</id>
            <title type="text"><![CDATA[Pizza Pie Charts]]></title>
            <link rel="alternate" href="https://github.com/zurb/pizza" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7837"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pizza is a responsive pie, donut, bar, and line graph charting library based on the Snap SVG framework from Adobe. It focuses on easy integration via HTML markup and CSS instead of JavaScript objects, although you can pass JavaScript objects to Pizza as well.]]>
            </summary>
            <updated>2025-08-29T13:43:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7968</id>
            <title type="text"><![CDATA[dragit by romsson]]></title>
            <link rel="alternate" href="http://romsson.github.io/dragit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7968"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Direct manipulation of data graphics]]>
            </summary>
            <updated>2025-08-29T14:05:48+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>
            <entry>
            <id>https://links.biapy.com/links/8121</id>
            <title type="text"><![CDATA[Charted]]></title>
            <link rel="alternate" href="http://www.charted.co/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8121"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Beautiful, automatic charts]]>
            </summary>
            <updated>2025-08-29T14:31:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8133</id>
            <title type="text"><![CDATA[osquery]]></title>
            <link rel="alternate" href="http://osquery.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8133"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[With osquery, you can use SQL to query low-level operating system information. Under the hood, instead of querying static tables, these queries dynamically execute high-performance native code. The results of the SQL query are transparently returned to you quickly and easily.]]>
            </summary>
            <updated>2025-08-29T14:32:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8152</id>
            <title type="text"><![CDATA[PerfBar]]></title>
            <link rel="alternate" href="http://lafikl.github.io/perfBar" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8152"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simple way to collect and look at your website performance metrics quickly, that supports budgeting and adding custom metrics.]]>
            </summary>
            <updated>2025-08-29T14:36:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8156</id>
            <title type="text"><![CDATA[Facette: Time series data visualization and graphing software]]></title>
            <link rel="alternate" href="https://facette.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8156"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Time series data visualization and graphing software]]>
            </summary>
            <updated>2025-08-29T14:37:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8215</id>
            <title type="text"><![CDATA[Graylog2 - Open source log management and data analytics]]></title>
            <link rel="alternate" href="http://graylog2.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8215"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Field-tested open source data analytics system used and trusted all around the world. Search your logs, create charts, send reports and be alerted when something happens. All running on the existing JVM in your datacenter]]>
            </summary>
            <updated>2025-08-29T14:48:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8281</id>
            <title type="text"><![CDATA[jquery-plugin-circliful]]></title>
            <link rel="alternate" href="https://github.com/pguso/jquery-plugin-circliful" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8281"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[show Infos as Circle Statistics, no images used]]>
            </summary>
            <updated>2025-08-29T14:58:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8308</id>
            <title type="text"><![CDATA[Reinvigorate]]></title>
            <link rel="alternate" href="https://www.reinvigorate.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8308"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simple, real-time web analytics + heatmaps.]]>
            </summary>
            <updated>2025-08-29T15:02:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8314</id>
            <title type="text"><![CDATA[TableBarChart plugin]]></title>
            <link rel="alternate" href="http://wiki.aiwsolutions.net/2014/03/20/tablebarchart-plugin" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8314"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A very simple jQuery plugin to render bar chart from existing HTML tables.]]>
            </summary>
            <updated>2025-08-29T15:04:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8346</id>
            <title type="text"><![CDATA[PerfWatcher]]></title>
            <link rel="alternate" href="http://perfwatcher.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8346"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PerfWatcher is a web-based frontend for RRD datas collected with Collectd.]]>
            </summary>
            <updated>2025-08-29T15:08:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8353</id>
            <title type="text"><![CDATA[Graphite - Scalable Realtime Graphing - Graphite]]></title>
            <link rel="alternate" href="http://graphite.wikidot.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8353"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Graphite is a highly scalable real-time graphing system. As a user, you write an application that collects numeric time-series data that you are interested in graphing, and send it to Graphite&amp;#039;s processing backend, carbon, which stores the data in Graphite&amp;#039;s specialized database. The data can then be visualized through graphite&amp;#039;s web interfaces.]]>
            </summary>
            <updated>2025-08-29T15:10:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8354</id>
            <title type="text"><![CDATA[OpenTSDB - A Distributed, Scalable Monitoring System]]></title>
            <link rel="alternate" href="http://opentsdb.net/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8354"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase. OpenTSDB was written to address a common need: store, index and serve metrics collected from computer systems (network gear, operating systems, applications) at a large scale, and make this data easily accessible and graphable.]]>
            </summary>
            <updated>2025-08-29T15:10:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8357</id>
            <title type="text"><![CDATA[D3.js - Data-Driven Documents]]></title>
            <link rel="alternate" href="http://d3js.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8357"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.]]>
            </summary>
            <updated>2025-08-29T15:10:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8358</id>
            <title type="text"><![CDATA[Bucky]]></title>
            <link rel="alternate" href="http://github.hubspot.com/bucky" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8358"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Performance Measurement of Your App&amp;#039;s Actual Users.

Open-source tool to measure the performance of your web app directly from your users&amp;#039; browsers.]]>
            </summary>
            <updated>2025-08-29T15:10:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8366</id>
            <title type="text"><![CDATA[Sguil - Open Source Network Security Monitoring]]></title>
            <link rel="alternate" href="http://sguil.sourceforge.net/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8366"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Sguil (pronounced sgweel) is built by network security analysts for network security analysts. Sguil&amp;#039;s main component is an intuitive GUI that provides access to realtime events, session data, and raw packet captures. Sguil facilitates the practice of Network Security Monitoring and event driven analysis. The Sguil client is written in tcl/tk and can be run on any operating system that supports tcl/tk (including Linux, *BSD, Solaris, MacOS, and Win32).]]>
            </summary>
            <updated>2025-08-29T15:12:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8409</id>
            <title type="text"><![CDATA[Bitdeli]]></title>
            <link rel="alternate" href="https://bitdeli.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8409"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Analytics for GitHub

Curious who has been viewing your repositories, where and when?]]>
            </summary>
            <updated>2025-08-29T15:20:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8418</id>
            <title type="text"><![CDATA[Mouseflow]]></title>
            <link rel="alternate" href="http://mouseflow.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8418"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Mouseflow lets you record website visitors and generate instant heatmaps showing where they click, scroll and even pay attention.]]>
            </summary>
            <updated>2025-08-29T15:20:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8467</id>
            <title type="text"><![CDATA[TextQL]]></title>
            <link rel="alternate" href="https://github.com/dinedal/textql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8467"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Allows you to easily execute SQL against structured text like CSV or TSV.]]>
            </summary>
            <updated>2025-08-29T15:28:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8470</id>
            <title type="text"><![CDATA[Cube]]></title>
            <link rel="alternate" href="http://square.github.io/cube" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8470"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Cube is a system for collecting timestamped events and deriving metrics. By collecting events rather than metrics, Cube lets you compute aggregate statistics post hoc. It also enables richer analysis, such as quantiles and histograms of arbitrary event sets. Cube is built on MongoDB and available under the Apache License on GitHub.]]>
            </summary>
            <updated>2025-08-29T15:29:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8521</id>
            <title type="text"><![CDATA[heatmap - Real-time analytics for your website]]></title>
            <link rel="alternate" href="http://heatmap.me/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8521"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Get instant feedback on where goes the attention of your users, so you can take action immediately and improve your retention.]]>
            </summary>
            <updated>2025-08-29T15:37:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8534</id>
            <title type="text"><![CDATA[GoAccess - Visual Web Log Analyzer]]></title>
            <link rel="alternate" href="http://goaccess.prosoftcorp.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8534"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[GoAccess is an open source real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems. It provides fast and valuable HTTP statistics for system administrators that require a visual server report on the fly.]]>
            </summary>
            <updated>2025-08-29T15:40:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8756</id>
            <title type="text"><![CDATA[Chart.js | HTML5 Charts for your website.]]></title>
            <link rel="alternate" href="http://www.chartjs.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8756"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Easy, object orientated client side graphs for designers and developers]]>
            </summary>
            <updated>2025-08-29T16:17:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9019</id>
            <title type="text"><![CDATA[Countly | Mobile Application Analytics]]></title>
            <link rel="alternate" href="http://count.ly/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9019"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[]]>
            </summary>
            <updated>2025-08-29T17:01:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9130</id>
            <title type="text"><![CDATA[MRTG - Tobi Oetiker&amp;#039;s MRTG - The Multi Router Traffic Grapher]]></title>
            <link rel="alternate" href="http://oss.oetiker.ch/mrtg" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9130"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[You have a router, you want to know what it does all day long? Then MRTG is for you. It will monitor SNMP network devices and draw pretty pictures showing how much traffic has passed through each interface.]]>
            </summary>
            <updated>2025-08-29T17:19:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9135</id>
            <title type="text"><![CDATA[Mixpanel Flow | Mobile and Web Analytics]]></title>
            <link rel="alternate" href="https://flow.mixpanel.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9135"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Flow is a traffic visualization like none you&amp;#039;ve ever seen. It&amp;#039;s beautiful, it&amp;#039;s fast, and it&amp;#039;s incredibly intuitive.]]>
            </summary>
            <updated>2025-08-29T17:21:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9178</id>
            <title type="text"><![CDATA[Morris.js]]></title>
            <link rel="alternate" href="http://oesmith.github.com/morris.js" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9178"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Making good-looking graphs shouldn&amp;#039;t be hard. Morris.js is a lightweight library that uses jQuery and Raphaël to make drawing time-series graphs easy.]]>
            </summary>
            <updated>2025-08-29T17:27:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9203</id>
            <title type="text"><![CDATA[CrawlTrack, web analytics.]]></title>
            <link rel="alternate" href="http://www.crawltrack.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9203"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[With CrawlTrack you will get a detail view of the crawler activity on your site. Crawlers visits count for more than 85% of hits on www.Crawltrack.net; some are usefull, other far less and even dangerous (30% are hacking attempts on www.crawltrack.net).]]>
            </summary>
            <updated>2025-08-29T17:31:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9252</id>
            <title type="text"><![CDATA[RSS and ATOM Feed Boosting Engine - FEEDCAT.NET]]></title>
            <link rel="alternate" href="http://www.feedcat.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9252"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[rss feed statistics, feedburner alternative]]>
            </summary>
            <updated>2025-08-29T17:39:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9265</id>
            <title type="text"><![CDATA[Visitors - fast web log analyzer]]></title>
            <link rel="alternate" href="http://hping.org/visitors" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9265"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visitors is a very fast web log analyzer for Linux, Windows, and other Unix-like operating systems. It takes as input a web server log file, and outputs statistics in form of different reports. The design principles are very different compared to other software of the same type:]]>
            </summary>
            <updated>2025-08-29T17:41:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9329</id>
            <title type="text"><![CDATA[Awesome open-source HTML5 financial charts!]]></title>
            <link rel="alternate" href="http://www.rocketcharts.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9329"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Statistiques financières en HTML 5.]]>
            </summary>
            <updated>2025-08-29T17:53:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9410</id>
            <title type="text"><![CDATA[Installation de VNStat sous Debian]]></title>
            <link rel="alternate" href="http://blog.nicolargo.com/2011/09/installation-de-vnstat-sous-debian.html?utm_source=twitterfeed&amp;amp;utm_medium=twitter" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9410"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[VNStat est un outil bien utile pour surveiller le débit des interfaces réseaux de ses machines. Il se présente sous la forme d&amp;#039;un processus tournant en tache de fond (les versions plus anciennes se basaient sur crontab) et surveillant les flux transitant sur vos interfaces. Nous allons détailler l&amp;#039;installation et l&amp;#039;utilisation de cet outil sur]]>
            </summary>
            <updated>2025-08-29T18:06:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9497</id>
            <title type="text"><![CDATA[Open Web Analytics]]></title>
            <link rel="alternate" href="http://www.openwebanalytics.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9497"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Web Analytics (OWA) is open source web analytics software that you can use to track and analyze how people use your web sites and applications. OWA is licensed under GPL and provides web site owners and developers with easy ways to add web analytics to their sites using simple Javascript, PHP, or REST based APIs. OWA also comes with built-in support for tracking web sites made with popular content management frameworks such as WordPress and MediaWiki.]]>
            </summary>
            <updated>2025-08-29T18:22:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9574</id>
            <title type="text"><![CDATA[HashTracking.com&amp;amp;amp;nbsp;|&amp;amp;amp;nbsp;Twitter Hashtag Tracking and Analytics]]></title>
            <link rel="alternate" href="http://www.hashtracking.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9574"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Hashtracking is a social media analytics tool that tracks hashtag performance to enhance campaign insights and engagement.]]>
            </summary>
            <updated>2025-08-29T18:34:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9575</id>
            <title type="text"><![CDATA[Fan Page Analytics Tools - Get Better Facebook Insights | PageLever]]></title>
            <link rel="alternate" href="http://pagelever.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9575"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Better Facebook Analytics than you ever thought possible.]]>
            </summary>
            <updated>2025-08-29T18:34:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9577</id>
            <title type="text"><![CDATA[Follower Wonk: Twitter analytics, follower segmentation, social graph tracking, and more]]></title>
            <link rel="alternate" href="http://followerwonk.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9577"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[]]>
            </summary>
            <updated>2025-08-29T18:34:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9582</id>
            <title type="text"><![CDATA[bitly | shorten, share and track your links]]></title>
            <link rel="alternate" href="https://bitly.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9582"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Bitly helps you share, track, and analyze your links.]]>
            </summary>
            <updated>2025-08-29T18:35:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9595</id>
            <title type="text"><![CDATA[Home | Elycharts]]></title>
            <link rel="alternate" href="http://elycharts.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9595"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Elycharts is a pure javascript charting library, easy to use and completely customizable.]]>
            </summary>
            <updated>2025-08-29T18:38:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9710</id>
            <title type="text"><![CDATA[Peity &amp;amp;#8226; progressive &amp;amp;amp;lt;canvas&amp;amp;amp;gt; pie charts]]></title>
            <link rel="alternate" href="http://benpickles.github.com/peity" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9710"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Peity (sounds like deity) is a simple jQuery plugin that converts an element&amp;#039;s content into a simple &amp;amp;lt;canvas&amp;amp;gt; mini pie line or bar chart .]]>
            </summary>
            <updated>2025-08-29T18:56:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9760</id>
            <title type="text"><![CDATA[gemiusTraffic - gemiusTraffic Explained :: Gemius SA]]></title>
            <link rel="alternate" href="http://gemius.pl/pl/products_traffic_about" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9760"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[gemiusTraffic is Eastern Europe’s leading web analytics service. It is a research tool designed to analyze how Internet users use your web site.]]>
            </summary>
            <updated>2025-08-29T19:04:34+00:00</updated>
        </entry>
    </feed>
