Apache ECharts is a powerful, interactive charting and data visualization library for browser
- echarts
- data-visualization
- charts
- charting-library
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Apache ECharts is a powerful, interactive charting and data visualization library for browser
Extremely fast Query Engine for DataFrames, written in Rust
Empowering People Ethically 🚀 — Matomo is hiring! Join us → https://matomo.org/jobs Matomo is the leading open-source alternative to Google Analytics, giving you complete control and built-in privacy. Easily collect, visualise, and analyse data from websites & apps. Star us on GitHub ⭐️ – Pull Requests welcome!
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Interactive Data Visualization in the browser, from Python
Session replay, cobrowsing and product analytics you can self-host. Best for reproducing issues and iterating on your product.
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
UAParser.js: The Essential Web Development Tool for User-Agent Detection. Detect Browsers, OS, Devices, Bots, Apps, AI Crawlers, and more. Run in Browser or Node
cuDF - GPU DataFrame Library
Open Source Feature Flags, Experimentation, and Product Analytics
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
🦄 Sourcerer app makes a visual profile from your GitHub and git repositories.
the portable Python dataframe library
Browser compatibility data for Web technologies as displayed on MDN
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Lightweight and extensible compatibility layer between dataframe libraries!
A plugin for the jQuery javascript library to generate small sparkline charts directly in the browser
Easily bring your Python applications online with the world's lightest GUI toolkit.
JQuick-Pdf is an enterprise-grade Java PDF generation framework. It provides HTML-like declarative syntax and supports more than 30 kinds of graphs, greatly simplifying complex PDF report creation while retaining full native pdfbox(since version 4.0.0) APIs.
UNMAINTAINED! - Complete Google Analytics, Mixpanel, KISSmetrics (and more) integration for Meteor
Jupyterlab extension to show notebook cell completion notifications
Display Youtube metrics using Google API and MicroPython
Browser-based multitrack audio visualiser with synchronised playback, configurable presets and video export via ffmpeg.wasm. Shares one core with a headless CLI.