Open source data-analysis projects
Every project in the registry tagged data-analysis, ranked by real GitHub adoption.
Self-serve data exploration and dashboard builder
Unlock data insights with powerful, user-friendly analytics
Full-stack Python platform for web apps and internal tools
🔥 人人可用的开源 BI 工具，数据可视化神器。An open-source BI tool alternative to Tableau.
Open-source data integration for modern teams
GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
Open-source A/B testing and feature flagging platform
Sync and transform data from any source to any destination
Modular SenseNova skills for building AI-powered office assistants and productivity workflows
Apache DevLake is an open-source dev data platform to ingest, analyze, and visualize the fragmented data from DevOps tools, extracting insights for engineering
Python, SQL, and AI in a collaborative data notebook
The fastest business intelligence tool for humans and agents.
Data observability for modern data teams
Cookie-less analytics for privacy-focused insights
Unlock Data's Potential with Open Source Power
Universal Reddit Scraper - A comprehensive Reddit scraping/archival command-line tool.
Revolutionizing data processing with Compute Over Data
Related tags
Frequently asked questions
How many open source data-analysis projects are there?
This registry tracks 17 projects tagged data-analysis, with 257,508 GitHub stars between them. The most-adopted is Apache Superset at 74,816 stars.
Are these data-analysis projects free to use?
Yes — 14 of the 17 carry an explicit open-source licence across 4 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.
Which data-analysis project should I choose?
The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.
Are these data-analysis projects still maintained?
16 of the 17 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.