npm · crates.io · Maven +1
microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
MITAug 5, 2026 · metrics 2.10.0
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Catalogue tag
#scikit-learn
Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.
29 records
PyPI
onnx/onnx
Open standard for machine learning interoperability
Apache-2.0Aug 5, 2026 · metrics 2.10.0
PyPI
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
Apache-2.0Aug 27, 2026 · metrics 2.10.0
PyPI
dask/dask
Parallel computing with task scheduling
BSD-3-ClauseAug 27, 2026 · metrics 2.10.0
PyPI
sktime/sktime
A unified framework for machine learning with time series
BSD-3-ClauseAug 12, 2026 · metrics 2.10.0
PyPI · npm
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
MITAug 12, 2026 · metrics 2.10.0
npm · PyPI
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
MITAug 12, 2026 · metrics 2.10.0
PyPI
sebp/scikit-survival
Survival analysis built on top of scikit-learn
GPL-3.0Aug 13, 2026 · metrics 2.10.0
PyPI
feature-engine/feature_engine
Feature engineering and selection open-source Python library compatible with sklearn.
BSD-3-ClauseAug 13, 2026 · metrics 2.10.0
PyPI
skops-dev/skops
skops is a Python library helping you share your scikit-learn based models and put them in production
MITAug 27, 2026 · metrics 2.10.0
PyPI
sktime/skbase
Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
BSD-3-ClauseAug 2, 2026 · metrics 2.10.0
PyPI
koaning/scikit-lego
Extra blocks for scikit-learn pipelines.
MITJul 17, 2026 · metrics 2.10.0
PyPI
pycaret/pycaret
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Custom licenseAug 12, 2026 · metrics 2.10.0
PyPI
combust/mleap
MLeap: Deploy ML Pipelines to Production
Apache-2.0Aug 27, 2026 · metrics 2.10.0
PyPI
GiacomoSaccaggi/scomp_link
End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.
MITJul 16, 2026 · metrics 2.10.0
PyPI
paucablop/chemotools
The scikit-learn-native foundation package for chemometrics 🧪 🤖
MITAug 16, 2026 · metrics 2.10.0
PyPI
upgini/upgini
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
BSD-3-ClauseAug 3, 2026 · metrics 2.10.0
PyPI
NCAR/bridgescaler
Bridge your scikit-learn scaler parameters between Python sessions and users. Distribute your scaling across multiple processes and data subsets.
MITAug 22, 2026 · metrics 2.10.0
PyPI
onnx/onnxmltools
ONNXMLTools enables conversion of models to ONNX
Apache-2.0Aug 13, 2026 · metrics 2.10.0
PyPI
elastic/eland
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Apache-2.0Jul 29, 2026 · metrics 2.10.0
PyPI
bretttolbert/verbecc
Verbe Complete Conjugator (verbecc) supports Catalan, Spanish, French, Italian, Portuguese and Romanian and can predict conjugation for unknown verbs using Machine Learning
LGPL-3.0Aug 26, 2026 · metrics 2.10.0
PyPI
alkaline-ml/pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
MITAug 13, 2026 · metrics 2.10.0
PyPI
scaleoutsystems/scaleout-client
Scaleout Edge: Sovereign Edge AI orchestration and Federated Learning
Apache-2.0Jul 20, 2026 · metrics 2.10.0
PyPI
onnx/sklearn-onnx
Convert scikit-learn models and pipelines to ONNX
Apache-2.0Aug 19, 2026 · metrics 2.10.0
PyPI
mljar/supertree
Impress your boss with interactive Decision Tree visualization
Apache-2.0Jul 18, 2026 · metrics 2.10.0
PyPI
srikumar2050/hugiml-core
High-performance interpretable ML classifier using High Utility Gain patterns (IEEE Access 2024). C++ accelerated, scikit-learn compatible, with EBM-style explanations, adaptive binning, pattern pruning, and deployment tooling for regulated domains.
Custom licenseJul 19, 2026 · metrics 2.10.0
PyPI
DistrictDataLabs/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Apache-2.0Aug 12, 2026 · metrics 2.10.0
PyPI
reiinakano/scikit-plot
An intuitive library to add plotting functionality to scikit-learn objects.
MITAug 13, 2026 · metrics 2.10.0
PyPI
nicodv/kmodes
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
MITAug 13, 2026 · metrics 2.10.0