Open source machine-learning projects

Every project in the registry tagged machine-learning, ranked by real GitHub adoption.

projects 10 combined stars ★ 301K refresh nightly
01 NetData ★ 81K

Real-time monitoring for systems and applications

last push3 hours ago languageGo licenseGPL-3.0
02 OpenBB ★ 73K

AI-powered analytics workspace built for investment teams

last push4 hours ago languagePython license
03 Paperless-ngx ★ 45K

Effortlessly organize your digital documents

last push3 hours ago languagePython licenseGPL-3.0
04 Qdrant ★ 35K

Fast, scalable vector database for AI applications

last push3 hours ago languageRust licenseApache-2.0
05 Fincept Terminal ★ 32K

Open-source financial terminal for data-driven insights

last push28 hours ago languageC++ license
06 screenpipe ★ 22K

24/7 screen and audio recorder with AI memory search

last push3 hours ago languageTypeScript license
07 Mage ★ 8.8K

Magical data pipeline tool for seamless transformations

last push6 days ago languagePython licenseApache-2.0
08 Deepnote ★ 3.0K

Python, SQL, and AI in a collaborative data notebook

last push9 hours ago languageTypeScript licenseApache-2.0
09 nightingale ★ 1.5K

last push12 days ago languageTypeScript licenseGPL-3.0
10 mlop ★ 392

Experiment tracking platform for ML teams

last push7 months ago languagePython licenseApache-2.0

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Frequently asked questions

How many open source machine-learning projects are there?

This registry tracks 10 projects tagged machine-learning, with 300,631 GitHub stars between them. The most-adopted is NetData at 80,561 stars.

Are these machine-learning projects free to use?

Yes — 7 of the 10 carry an explicit open-source licence across 2 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 machine-learning 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 machine-learning projects still maintained?

9 of the 10 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.