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

• apachecn/ailearning

  AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

  Tagged scikit-learnPython

  42.6K stars

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Tagged scikit-learnPython

  29.4K stars

• microsoft/onnxruntime

  ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

  Tagged scikit-learnC++

  22K stars

• onnx/onnx

  Open standard for machine learning interoperability

  Tagged scikit-learnPython

  21.6K stars

• dask/dask

  Parallel computing with task scheduling

  Tagged scikit-learnPython

  13.9K stars

• MorvanZhou/tutorials

  机器学习相关教程

  Tagged sklearnPython

  13.1K stars

• autogluon/autogluon

  Fast and Accurate ML in 3 Lines of Code

  Tagged scikit-learnPython

  10.8K stars

• Yorko/mlcourse.ai

  Open Machine Learning Course

  Tagged scikit-learnPython

  10.7K stars

• sktime/sktime

  A unified framework for machine learning with time series

  Tagged scikit-learnPython

  10.1K stars

• pycaret/pycaret

  Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

  Tagged scikit-learnPython

  9.9K stars

• automl/auto-sklearn

  Automated Machine Learning with scikit-learn

  Tagged scikit-learnPython

  8.1K stars

• alteryx/featuretools

  An open source python library for automated feature engineering

  Tagged scikit-learnPython

  7.7K 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

• deepctr-torch

  Easy-to-use,Modular and Extendible package of deep learning based CTR(Click Through Rate) prediction models with PyTorch

  Depends on scikit-learnPyPI

  —Not published by PyPI
• deeplabcut

  Markerless pose-estimation of user-defined features with deep learning

  Depends on scikit-learnPyPI

  —Not published by PyPI
• deeppavlov

  An open source library for building end-to-end dialog systems and training chatbots.

  Depends on scikit-learnPyPI

  —Not published by PyPI
• deeprobust

  A PyTorch library for adversarial robustness learning for image and graph data.

  Depends on scikit-learnPyPI

  —Not published by PyPI
• deepxde

  A library for scientific machine learning

  Depends on scikit-learnPyPI

  —Not published by PyPI
• dice-ml

  Generate Diverse Counterfactual Explanations for any machine learning model.

  Depends on scikit-learnPyPI

  —Not published by PyPI
• dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions

  Depends on scikit-learnPyPI

  —Not published by PyPI
• dscribe

  A Python package for creating feature transformations in applications of machine learning to materials science.

  Depends on scikit-learnPyPI

  —Not published by PyPI
• dsrag

  State-of-the-art RAG pipeline from D-Star AI

  Depends on scikit-learnPyPI

  —Not published by PyPI
• dtale

  Web Client for Visualizing Pandas Objects

  Depends on scikit-learnPyPI

  —Not published by PyPI
• dynamax

  Dynamic State Space Models in JAX.

  Depends on scikit-learnPyPI

  —Not published by PyPI
• easy-cs-rec-custommodel

  An easy-to-use framework for Recommendation

  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.