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scikit-learn

scikit-learn: machine learning in Python

Our verdict

Not reviewed yet

We have not reviewed scikit-learn yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About scikit-learn

scikit-learn is a Python library providing supervised and unsupervised machine learning algorithms with a consistent API. It includes classification, regression, clustering, dimensionality reduction, and model evaluation tools built on NumPy, SciPy, and Matplotlib.

Best for

Python developers building traditional machine learning pipelines and prototyping models quickly.

Use cases

  • Training and evaluating classification or regression models
  • Clustering data and reducing feature dimensionality
  • Comparing multiple algorithms with cross-validation and metrics

Notes

66,218 stars on GitHub. Last updated 2026-06-01. Licensed BSD-3-Clause.

Pros

  • Mature, well-documented library with extensive community support
  • Unified API across diverse algorithms reduces learning curve
  • Strong built-in tools for model selection, validation, and preprocessing

Cons

  • Not optimized for deep learning or neural networks
  • Performance lags behind specialized libraries for very large datasets
  • Limited GPU acceleration support

Key facts

What we have checked

Latest version
1.9.1 (released 11 Sept 2026)
Checked GitHub
GitHub stars
67,374
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How scikit-learn is growing

GitHub stars

66,218 to 67,374

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Alternatives

Alternatives to scikit-learn

RecordTypeHow we knowChecked
XGBoostAlternative to thisOpen sourceNamed in the listingNot dated

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Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 1.9.1

    Source: GitHub

  2. Released 1.9.0

    Source: GitHub

  3. Released 1.8.0

    Source: GitHub

  4. Released 1.7.2

    Source: GitHub

  5. Released 1.7.1

    Source: GitHub

  6. Released 1.7.0

    Source: GitHub

  7. Released 1.6.1

    Source: GitHub

  8. Released 1.6.0

    Source: GitHub

  9. Released 1.5.2

    Source: GitHub

  10. Released 1.5.1

    Source: GitHub

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