Awesome List

Awesome Machine Learning

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

josephmisiti/awesome-machine-learning
List stars
74,596
README repos
887
Indexed repos
149
List commits
-
Forks
15,677
Open issues
23

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Latest scan 2026-10-17 10:50

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9 repos matching these filters.

Latest repo push 2026-10-17

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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
30 open
Forks
4,189
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
2026-10-16
Lists
11 list mentions
First commit
2024-09-02
License
Apache-2.0
Issues
189 open
Forks
1,864
Commits
7,548 commits
Star growth, last 7 days
+29 +0.1%
Commit velocity, last 7 days
+22 +0.3%
statsmodels/statsmodels

Statsmodels: statistical modeling and econometrics in Python

AI dev
Updated
2026-09-28
Lists
4 list mentions
First commit
2006-03-03
License
BSD-3-Clause
Issues
2,829 open
Forks
3,608
Commits
17,598 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
2026-08-31
Lists
5 list mentions
First commit
2020-11-25
License
Apache-2.0
Issues
303 open
Forks
914
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
267 open
Forks
303
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
2026-09-08
Lists
2 list mentions
First commit
2020-05-29
License
Apache-2.0
Issues
54 open
Forks
387
Commits
2,066 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history