Open source data-science projects
Every project in the registry tagged data-science, ranked by real GitHub adoption.
Self-serve data exploration and dashboard builder
Full-stack Python platform for web apps and internal tools
Data Apps & Dashboards for Python. No JavaScript Required.
Python-native workflow orchestration for data and ML teams
An orchestration platform for the development, production, and observation of data assets.
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Always know what to expect from your data.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Magical data pipeline tool for seamless transformations
Open-source A/B testing and feature flagging platform
Transform SQL into beautiful data stories
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager,
Python, SQL, and AI in a collaborative data notebook
CLI task management & automation tool
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-science projects are there?
This registry tracks 16 projects tagged data-science, with 239,168 GitHub stars between them. The most-adopted is Apache Superset at 74,816 stars.
Are these data-science projects free to use?
Yes — 15 of the 16 carry an explicit open-source licence across 3 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-science 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-science projects still maintained?
15 of the 16 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.