scikit-learn

Momentum

Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works

Official repository stars

Collecting

Star growth needs repository snapshots 30 days apart.67,452 stars now

Member repository stars

Collecting

Star growth needs repository snapshots 30 days apart.0 new members in 30 days

Package adoption

—Not published by its registries

Its packages’ registries publish no adoption figure, so there is nothing to grow.

Open models

—No official models

No official model on Hugging Face, so this signal does not apply.

News

Collecting

News counts once there are 3 events across the last 60 days; it has 0.0 in the last 30 days · 0 in the 30 before

Adoption by registry

The growth of scikit-learn’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.

No registry has two observations of scikit-learn’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.

News activity

Events · 7 days

0published events that mention it

Events · 30 days

0published events that mention it

Previous 30 days

0events in the 30 days before

Momentum history

Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.

Repositories

Official 1

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Official repositoryPython

  67.5K stars

Members 62repositories tagged with one of its aliases, most-starred first

• ggeop/Python-ai-assistant

  Python AI assistant 🧠

  Tagged sklearnPython

  1K stars

• giotto-ai/giotto-tda

  A high-performance topological machine learning toolbox in Python

  Tagged scikit-learnPython

  1K stars

Packages

“Is” packages are scikit-learn itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.

Is 1the technology itself, most-adopted first

• scikit-learn

  A set of python modules for machine learning and data mining

  Listed in the catalogPyPI

  —Not published by PyPI

Ecosystem 392packages that depend on it, most-adopted first

• pyannote-metrics

  A toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pycaret

  PyCaret - An open source, low-code machine learning library in Python.

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pycaret-ni

  PyCaret - An open source, low-code machine learning library in Python.

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pydeseq2

  A python implementation of DESeq2.

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pydmd

  Python Dynamic Mode Decomposition.

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pygod

  A Python Library for Graph Outlier Detection (Anomaly Detection)

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pygrinder

  A Python toolkit for introducing missing values into datasets

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pyhealth

  A Python library for healthcare AI

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pykeen

  A package for training and evaluating multimodal knowledge graph embeddings

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pyldavis

  Interactive topic model visualization. Port of the R package.

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pymc-marketing

  Marketing Statistical Models in PyMC

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pynndescent

  Nearest Neighbor Descent

  Depends on scikit-learnPyPI

  —Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions scikit-learn yet.