# krzjoa/awesome-python-data-science

Probably the best curated list of data science software in Python.

Repository: https://github.com/krzjoa/awesome-python-data-science
Canonical: https://ross.abutalabs.com/products/awesome-python-data-science
Homepage: https://krzjoa.github.io/awesome-python-data-science
License: CC-BY-4.0
License Family: other
Topics: awesome, awesome-list, awesome-python, scikit-learn, python, deep-learning, machine-learning, data-science, data-visualization, data-analysis, statistics
Last push: 2026-04-13T07:15:05+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 77, release rhythm 35, longevity 100
- inputs: {"age_days": 3177, "days_push": 142, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3569, forks 461 (observed 2026-08-28T04:08:10.014037+00:00)

## What it is
A curated awesome-list cataloging Python data science software across machine learning, deep learning, NLP, visualization, and related areas. It serves as a discovery reference linking to libraries rather than providing software itself.

## Use cases
- find python libraries for machine learning
- discover deep learning frameworks in python
- best data science tools for python
- python libraries for time series analysis
- find nlp libraries in python
- data visualization library recommendations
- automl tools for python

## When to choose
- you want a broad, curated overview of the Python data science ecosystem
- you're evaluating which library to adopt for a task like gradient boosting or NLP
- you want community-maintained, categorized links to tools

## When to avoid
- you need working code or a runnable tool rather than a list of links
- you need in-depth tutorials or documentation for a specific library
- you need non-Python data science tooling

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, data-science, data-visualization, nlp, computer-vision
- domain: data-science, machine-learning, deep-learning, awesome-lists, data-visualization, computer-vision
- platform: python
- tags: awesome-list, curated-list, python-ecosystem, reference, statistics, reinforcement-learning, time-series, natural-language-processing

## Member repositories
- krzjoa/awesome-python-data-science (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:10.014037+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 2026-08-29T18:34:08.163808+00:00, confidence not recorded.
  - readme: https://github.com/krzjoa/awesome-python-data-science (fetched 2026-08-28T04:08:10.014037+00:00, sha d0226c727c04)
  - homepage: https://krzjoa.github.io/awesome-python-data-science (fetched 2026-08-29T09:28:00.629392+00:00, sha 3b40674dba75)
- Data as of 2026-08-30T08:39:29.467469+00:00.