Technology · Library
scikit-learn
Library · Catalog tech@1
Machine learning in Python.
- 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 signalsNo 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
- scikit-learn/scikit-learn
scikit-learn: machine learning in Python
67.5K stars
Members 62repositories tagged with one of its aliases, most-starred first
- uxlfoundation/scikit-learn-intelex
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
1.4K stars
- sebp/scikit-survival
Survival analysis built on top of scikit-learn
1.3K stars
- nok/sklearn-porter
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
1.3K stars
- nicodv/kmodes
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
1.3K stars
- benedekrozemberczki/CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
1.3K stars
- reiinakano/xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
1.3K stars
- onnx/onnxmltools
ONNXMLTools enables conversion of models to ONNX
1.2K stars
- oneapi-src/oneAPI-samples
Samples for Intel® oneAPI Toolkits
1.2K stars
- lensacom/sparkit-learn
PySpark + Scikit-learn = Sparkit-learn
1.2K stars
- microsoft/Windows-Machine-Learning
Samples and Tools for Windows ML.
1.1K stars
- ryfeus/lambda-packs
Precompiled packages for AWS Lambda
1.1K stars
- khuangaf/CryptocurrencyPrediction
Predict Cryptocurrency Price with Deep Learning
1.1K 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
Not published by PyPI
Ecosystem 392packages that depend on it, most-adopted first
- sklearn-compat
Ease support for compatible scikit-learn estimators across versions
Not published by PyPI - sklearn-crfsuite
CRFsuite (python-crfsuite) wrapper which provides interface simlar to scikit-learn
Not published by PyPI - sklearn-pandas
Pandas integration with sklearn
Not published by PyPI - sklearn2pmml
Python library for converting Scikit-Learn pipelines to PMML
Not published by PyPI - skops
A set of tools, related to machine learning in production.
Not published by PyPI - skorch
scikit-learn compatible neural network library for pytorch
Not published by PyPI - skrub
Machine learning with dataframes
Not published by PyPI - sktime
A unified framework for machine learning with time series
Not published by PyPI - smac
SMAC3, a Python implementation of 'Sequential Model-based Algorithm Configuration'.
Not published by PyPI - snorkel
A system for quickly generating training data with weak supervision
Not published by PyPI - soynlp
Unsupervised Korean Natural Language Processing Toolkits
Not published by PyPI - Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions scikit-learn yet.