scikit-learn/scikit-learn
Some data may be outdated — see provenance labels.
scikit-learn: machine learning in Python observed · 2026-09-28
Health v2 · maintenance only
88/100
- Activity 96
- Release rhythm 71
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 92
- age_days: 5908
- days_rel: 39
- days_push: 26
- n_releases_24m: 8
Adoption not part of the score
67403 stars · 27449 forks observed · 2026-09-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
scikit-learn is a Python module for machine learning built on top of SciPy, providing classification, regression, clustering, and model evaluation tools. It is a mature, BSD-licensed open-source project maintained by a large community since 2007.
Use cases
- train a classifier on tabular data
- fit a regression model in Python
- cluster unlabeled data
- evaluate model performance with cross-validation
- preprocess and scale features for ML
- build a machine learning pipeline
When to choose
- you need classical ML (not deep learning) in Python
- you want a well-documented, stable, widely supported library
- you need consistent APIs for preprocessing, training, and evaluation
When to avoid
- you need GPU-accelerated deep learning (use PyTorch or TensorFlow)
- you need distributed training at massive scale (use Spark MLlib)
- you need the latest research models not yet implemented
Facets
library · maturity stable
machine-learning data-science math machine-learning data-science python cross-platform classification regression clustering model-evaluation numpy scipy algorithms
2 sources
- readme: https://github.com/scikit-learn/scikit-learn · fetched 2026-09-28 · 07d15d0ef025
- homepage: https://scikit-learn.org · fetched 2026-09-07 · 8a13d2a4d792
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| scikit-learn/scikit-learn | main | 88 |
For agents
markdown · JSON · MCP: product_card(name="scikit-learn/scikit-learn")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem