Apache Superset is a Data Visualization and Data Exploration Platform
- superset
- apache
- apache-superset
- data-visualization
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Apache Superset is a Data Visualization and Data Exploration Platform
Streamlit — A faster way to build and share data apps.
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
Redefined chart library built with React and D3
Data Apps & Dashboards for Python. No JavaScript Required.
1,324-exercise fitness dataset — animation GIFs, 180×180 thumbnails, muscle-group & equipment data, and step-by-step instructions in 6 languages. The exercise data layer behind the LogPress app.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
🐯 visx | visualization components
Turns Data and AI algorithms into production-ready web applications in no time.
React components to build charts and dashboards
Create web-based user interfaces with Python. The nice way.
stable diffusion webui colab
nivo provides a rich set of dataviz components, built on top of the awesome d3 and React libraries
Session replay, cobrowsing and product analytics you can self-host. Best for reproducing issues and iterating on your product.
Visualize, query, and stream to train on multimodal robotics data.
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
A collection of composable React components for building interactive data visualizations
📈 A small, fast chart for time series, lines, areas, ohlc & bars
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Data Visualization Components
Ready-to-run Docker images containing Jupyter applications
Fathom Lite. Simple, privacy-focused website analytics. Built with Golang & Preact.
Create beautiful JavaScript charts with one line of Ruby
JavaScript toolkit for creating interactive real-time graphs