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scikit-learn

Library · Catalog tech@1

Machine learning in Python.

Categories
Matched as
  • scikit-learn
  • sklearn

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

Momentum

Collecting0 of 5 signals

No score yet. Momentum is published only when at least 2 of the 5 signals have history. scikit-learn has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.

Snapshot OCT 24, 2026 · Scoring tech@1

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

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

  • ClimbsRocks/auto_ml

    [UNMAINTAINED] Automated machine learning for analytics & production

    Tagged scikit-learnPython

    1.7K

  • csinva/imodels

    Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

    Tagged scikit-learnJupyter Notebook

    1.6K

  • scikit-learn-contrib/MAPIE

    A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

    Tagged sklearnJupyter Notebook

    1.6K

  • combust/mleap

    MLeap: Deploy ML Pipelines to Production

    Tagged scikit-learnScala

    1.5K

  • skforecast/skforecast

    Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

    Tagged scikit-learnPython

    1.5K

  • MaxHalford/prince

    :crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

    Tagged scikit-learnPython

    1.5K

  • aeon-toolkit/aeon

    A toolkit for time series machine learning and deep learning

    Tagged scikit-learnPython

    1.5K

  • zama-ai/concrete-ml

    Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

    Tagged scikit-learnPython

    1.5K

  • scikit-learn-contrib/metric-learn

    Metric learning algorithms in Python

    Tagged scikit-learnPython

    1.4K

  • kitops-ml/kitops

    An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

    Tagged sklearnGo

    1.4K

  • koaning/scikit-lego

    Extra blocks for scikit-learn pipelines.

    Tagged scikit-learnPython

    1.4K

  • jrieke/traingenerator

    🧙 A web app to generate template code for machine learning

    Tagged scikit-learnPython

    1.4K

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

  • autotrain-advanced

    Depends on scikit-learnPyPI

    Not published by PyPI
  • autots

    Automated Time Series Forecasting

    Depends on scikit-learnPyPI

    Not published by PyPI
  • autoviz

    Automatically Visualize any dataset, any size with a single line of code

    Depends on scikit-learnPyPI

    Not published by PyPI
  • avalanche-lib

    Avalanche: a Comprehensive Framework for Continual Learning Research

    Depends on scikit-learnPyPI

    Not published by PyPI
  • ax-platform

    Adaptive Experimentation

    Depends on scikit-learnPyPI

    Not published by PyPI
  • babyagi

    An experimental prototype framework for building self building autonomous agents.

    Depends on scikit-learnPyPI

    Not published by PyPI
  • basic-pitch

    Basic Pitch, a lightweight yet powerful audio-to-MIDI converter with pitch bend detection.

    Depends on scikit-learnPyPI

    Not published by PyPI
  • basicts

    A Fair and Scalable Time Series Analysis Toolkit and benchmark.

    Depends on scikit-learnPyPI

    Not published by PyPI
  • batchgenerators

    Data augmentation toolkit

    Depends on scikit-learnPyPI

    Not published by PyPI
  • bayesian-optimization

    Bayesian Optimization package

    Depends on scikit-learnPyPI

    Not published by PyPI
  • benchpots

    A Python Toolbox for Benchmarking Machine Learning on Partially-Observed Time Series

    Depends on scikit-learnPyPI

    Not published by PyPI
  • bertopic

    BERTopic performs topic Modeling with state-of-the-art transformer models.

    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.