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
1,965 stars. Used by 1 other package. Actively maintained with 21 commits in the last 30 days. Available on PyPI.
Stars
1,965
Forks
180
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 12, 2026
Commits (30d)
21
Dependencies
16
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/WenjieDu/PyPOTS"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
aeon-toolkit/aeon
A toolkit for time series machine learning and deep learning
sktime/sktime
A unified framework for machine learning with time series
skforecast/skforecast
Time series forecasting with machine learning models
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.