WenjieDu/PyPOTS

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

2.0k 183 +1/wk

GitHub

anomaly-detection classification clustering data-analysis data-mining data-science deep-learning forecasting generation imputation machine-learning missing-values

Trend 3

Star & Fork Trend (21 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 2.0k

forks 183

Growth Velocity

WenjieDu/PyPOTS has +1 stars this period . 7-day velocity: 0.1%.

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Metric	PyPOTS	koharu	Advanced-Deep-Learning-with-Keras	knowledge-distillation-pytorch
Stars	2.0k	2.0k	2.0k	2.0k
Forks	183	101	1.0k	353
Weekly Growth	+1	+26	+0	+0
Language	Python	Rust	Python	Python
Sources	1	1	1	1
License	BSD-3-Clause	GPL-3.0	MIT	MIT

Capability Radar vs koharu

PyPOTS

koharu

Maintenance Activity 100

Last code push 1 days ago.

Community Engagement 46

Fork-to-star ratio: 9.2%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 43

+1 stars this period — 0.05% growth rate.

License Clarity 95

Licensed under BSD-3-Clause. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.