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

• ClimbsRocks/auto_ml

  [UNMAINTAINED] Automated machine learning for analytics & production

  Tagged scikit-learnPython

  1.7K stars

• csinva/imodels

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

  Tagged scikit-learnJupyter Notebook

  1.6K stars

• 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 stars

• combust/mleap

  MLeap: Deploy ML Pipelines to Production

  Tagged scikit-learnScala

  1.5K stars

• skforecast/skforecast

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

  Tagged scikit-learnPython

  1.5K stars

• MaxHalford/prince

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

  Tagged scikit-learnPython

  1.5K stars

• aeon-toolkit/aeon

  A toolkit for time series machine learning and deep learning

  Tagged scikit-learnPython

  1.5K stars

• 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 stars

• scikit-learn-contrib/metric-learn

  Metric learning algorithms in Python

  Tagged scikit-learnPython

  1.4K stars

• 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 stars

• koaning/scikit-lego

  Extra blocks for scikit-learn pipelines.

  Tagged scikit-learnPython

  1.4K stars

• jrieke/traingenerator

  🧙 A web app to generate template code for machine learning

  Tagged scikit-learnPython

  1.4K 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

• pyod

  A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 61 detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pyportfolioopt

  Financial portfolio optimization in python

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pypots

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

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pyreft

  REFT: Representation Finetuning for Language Models

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pyriemann

  Machine learning for multivariate data with Riemannian geometry

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pysal

  Meta Package for PySAL - A library of spatial analysis functions

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pyserini

  A Python toolkit for reproducible information retrieval research with sparse and dense representations

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pyserini-install

  A Python toolkit for reproducible information retrieval research with sparse and dense representations

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pytabkit

  ML models + benchmark for tabular data classification and regression

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pytdc

  Therapeutics Commons

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pytorch-forecasting

  Forecasting timeseries with PyTorch - dataloaders, normalizers, metrics and models

  Depends on scikit-learnPyPI

  —Not published by PyPI
• pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  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.