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WenjieDu / PyPOTS
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
scikit-learn / scikit-learn
Machine-learning algorithms and modeling tools for Python.
Popularity
Repository stars2,09368,075Highest
Fork19527,642Highest
Maintenance
Last push2026-10-312026-11-06
Maintenance notesNot verifiedUnknown
Repository created2022-03-292010-08-17
License & use
LicenseBSD-3-Clause · PermissiveBSD-3-Clause · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysisData analysis
TypeFrameworks & SDKsFrameworks & SDKs
SubcategoryData science & machine learningData science & machine learning
PlatformNot verifiedNot verified
First collected2026-11-032026-11-02
LanguagePythonPython
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Measured at 2026-11-06 UTC