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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

  • flwrlabs/flower

    Flower: A Friendly Federated AI Framework

    Tagged scikit-learnPython

    7.2K

  • interpretml/interpret

    Fit interpretable models. Explain blackbox machine learning.

    Tagged scikit-learnC++

    7K

  • biolab/orange3

    🍊 :bar_chart: :bulb: Orange: Interactive data analysis

    Tagged scikit-learnPython

    5.7K

  • dusty-nv/jetson-containers

    Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

    Tagged scikit-learnJupyter Notebook

    4.9K

  • DistrictDataLabs/yellowbrick

    Visual analysis and diagnostic tools to facilitate machine learning model selection.

    Tagged scikit-learnPython

    4.4K

  • microsoft/FLAML

    A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

    Tagged scikit-learnJupyter Notebook

    4.4K

  • astroautomata/PySR

    Symbolic Learning in Python and Julia

    Tagged scikit-learnPython

    3.8K

  • christianversloot/machine-learning-articles

    🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

    Tagged scikit-learn

    3.7K

  • microsoft/hummingbird

    Hummingbird compiles trained ML models into tensor computation for faster inference.

    Tagged scikit-learnPython

    3.5K

  • fnnx-ai/scikit-llm

    Seamlessly integrate LLMs into scikit-learn.

    Tagged scikit-learnPython

    3.5K

  • mljar/mljar-supervised

    Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

    Tagged scikit-learnPython

    3.3K

  • nidhaloff/igel

    a delightful machine learning tool that allows you to train, test, and use models without writing code

    Tagged scikit-learnPython

    3.1K

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

  • cuml-cu12

    NVIDIA cuML: GPU-Accelerated Machine Learning

    Depends on scikit-learnPyPI

    Not published by PyPI
  • d3rlpy

    An offline deep reinforcement learning library

    Depends on scikit-learnPyPI

    Not published by PyPI
  • darts

    A python library for easy manipulation and forecasting of time series.

    Depends on scikit-learnPyPI

    Not published by PyPI
  • dask-ml

    A library for distributed and parallel machine learning

    Depends on scikit-learnPyPI

    Not published by PyPI
  • data-formulator

    Data Formulator is research protoype data visualization tool powered by AI.

    Depends on scikit-learnPyPI

    Not published by PyPI
  • datamapplot

    A library for presentation and publication ready plots of data maps

    Depends on scikit-learnPyPI

    Not published by PyPI
  • datamol

    A python library to work with molecules. Built on top of RDKit.

    Depends on scikit-learnPyPI

    Not published by PyPI
  • datasetsforecast

    Datasets for Time series forecasting

    Depends on scikit-learnPyPI

    Not published by PyPI
  • datasieve

    This package implements a flexible data pipeline to help organize row removal (e.g. outlier removal) and feature modification (e.g. PCA)

    Depends on scikit-learnPyPI

    Not published by PyPI
  • dedupe

    A python library for accurate and scaleable data deduplication and entity-resolution

    Depends on scikit-learnPyPI

    Not published by PyPI
  • deepchecks

    Package for validating your machine learning model and data

    Depends on scikit-learnPyPI

    Not published by PyPI
  • deepchem

    Deep learning models for drug discovery, quantum chemistry, and the life sciences.

    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.