# lukasmasuch/best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Repository: https://github.com/lukasmasuch/best-of-ml-python
Canonical: https://ross.abutalabs.com/products/best-of-ml-python
Homepage: https://ml-python.best-of.org
License: CC-BY-SA-4.0
License Family: other
Topics: python, machine-learning, data-science, nlp, data-visualization, tensorflow, pytorch, scikit-learn, keras, data-visualizations, deep-learning, automl, ml, jax, transformer, data-analysis, chatgpt, gpt, gpt-3
Last push: 2026-08-20T14:14:49+00:00

## Health v2 (maintenance only)
Score: 83/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 55, longevity 100
- inputs: {"age_days": 2103, "days_push": 13, "days_rel": 302, "gap_med": 7, "n_releases_24m": 58}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 23731, forks 3147 (observed 2026-08-28T04:11:35.258056+00:00)

## What it is
A curated, ranked list of 920+ open-source machine learning Python libraries, organized into 34 categories and updated weekly. Projects are ranked by an automatically computed quality score based on GitHub and package manager metrics.

## Use cases
- find the best python library for machine learning
- discover popular nlp libraries in python
- compare tensorflow pytorch and scikit-learn alternatives
- find data visualization libraries for python
- discover open-source automl tools
- find libraries for time series analysis in python
- discover trending machine learning projects on github

## When to choose
- you want a curated, quality-ranked overview of the Python ML ecosystem
- you need to discover libraries in a specific ML subdomain like NLP, computer vision, or time series
- you want regularly updated recommendations backed by objective metrics

## When to avoid
- you need detailed documentation or tutorials for a specific library rather than a directory
- you need non-Python machine learning tools
- you want an exhaustive, unranked catalog rather than a curated selection

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, search-engine, data-science, machine-learning, nlp, data-visualization
- domain: machine-learning, data-science, deep-learning, developer-tools, awesome-lists
- platform: python
- tags: awesome-list, curated-list, machine-learning-libraries, project-ranking, quality-score, weekly-updates, natural-language-processing, web-server

## Member repositories
- lukasmasuch/best-of-ml-python (main) score 83

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:35.258056+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:56:21.578013+00:00, confidence not recorded.
  - readme: https://github.com/lukasmasuch/best-of-ml-python (fetched 2026-08-28T04:11:35.258056+00:00, sha 81630242be5b)
  - homepage: https://ml-python.best-of.org (fetched 2026-08-29T07:54:25.149098+00:00, sha ba80b40a903c)
- Data as of 2026-08-30T08:39:29.467469+00:00.