Awesome List

Awesome Machine Learning

A curated list of awesome Machine Learning frameworks, libraries and software.

josephmisiti/awesome-machine-learning
List stars
74,245
README repos
881
Indexed repos
141
List commits
-
Forks
15,637
Open issues
29

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Latest scan 2026-09-03 10:49

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9 repos matching these filters.

Latest repo push 2026-09-04

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trekhleb/homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Updated
2025-11-23
Lists
2 list mentions
First commit
2018-11-01
License
MIT
Issues
31 open
Forks
4,192
Commits
255 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
comet-ml/opik

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

AI dev
Updated
2026-08-11
Lists
10 list mentions
First commit
2024-09-02
License
Apache-2.0
Issues
184 open
Forks
1,698
Commits
6,688 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
statsmodels/statsmodels

Statsmodels: statistical modeling and econometrics in Python

AI dev
Updated
2026-08-13
Lists
4 list mentions
First commit
2006-03-03
License
BSD-3-Clause
Issues
2,830 open
Forks
3,565
Commits
17,051 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
evidentlyai/evidently

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Updated
2026-05-02
Lists
5 list mentions
First commit
2020-11-25
License
Apache-2.0
Issues
293 open
Forks
893
Commits
2,795 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
deepchecks/deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Updated
2025-12-28
Lists
3 list mentions
First commit
2021-10-11
License
NOASSERTION
Issues
264 open
Forks
301
Commits
1,504 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
MAIF/shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Updated
2026-07-28
Lists
2 list mentions
First commit
2020-05-29
License
Apache-2.0
Issues
46 open
Forks
389
Commits
2,060 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history