data-visualization
🦘 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.
Textures.js is a JavaScript library for creating SVG patterns. Made on top of d3.js, it is designed for data visualization.
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.
YouPlot is a command line tool that draws plots on the terminal.
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.
Git-Heat-Map highlights the most changed files in a repository.
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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's behavior.
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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.
Chart Chooser is the quickest path to better Excel & PowerPoint charts. Download a template.
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.
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't a perfect system, it still works as a useful guide for selecting chart based on your analysis or communication needs.
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.
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.
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.
A modular data visualization framework for React, Angular, Svelte, and vanilla TypeScript or JavaScript
Open source HTML5 Charts for your website. Simple yet flexible JavaScript charting library for the modern web.
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.
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.
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.
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.
nivo provides a rich set of dataviz components, built on top of D3 and React.
Charts.css is a modern CSS framework. It uses CSS utility classes to style HTML elements as charts.
Open Source Business Intelligence
The simplest, fastest way to get business intelligence and analytics to everyone in your company 😋
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.
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.
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