- statsmodels-Statistical methods of Time Series Analysis
- pmdarima - Auto ARIMA library
- prophet - ARMA Based Facebook Prediction Library,and here
- sktime - Scikit-Learn Comparible Library
- tslearn - Another Scikit-Learn Comparible Library
- scikit-learn for TS
- pandas for TS
- sktime-dl_Deep_Learning_for_TS
- sktime-tutoruals
- pyts-Time Series_Classification
- tsfresh-Time Series Feature extraction
- GluneTS - Probabilistic time series modeling in Python
- pyflux -classical methods for TSA
- inceptionTime - Popular Neural Network for TS
- nerural-Prophet
- fireTS - Nonelinear AR models
- Deep Learning for TS with FastAI(PyTorch)
- dl-4-tsc - deep learning frame work for TS
- Practical_Time_Series_Examples
- Anomaly detection benchmark
- Kenchi-Scikit-learn based anomaly detection
- alibi-detect - Anomaly Detection for Time series
- awesome time series anomaly detection
- TimeSynth - Multipurpose Library for Synthetic Time Series
- Deep learning in TS
- flow-forecast - DL for TS;
- Awesome time series, and here,and here, and here too
- Awesome time series datasets
- Web-site devoted to the time series classification problems
- Awesome signal processing
- Paper with a code - Time series and here
- Awesome deep learning projects
- Awesome python ML projects
- Awesome python data science
- Different awesome python resources
- Forecasting best practices from microsoft
- Tutorials for TS from openAI and here
- Practical Time Series Analysis Book
- UCR Time Series Classification Archive, and here
- GAN for TS.
- pydist2 - distance in python.
- sagemaker - amazone library with deepAR.
- time series sqeuence2sequence
- keras - TCN
- deep TCN
- Flow forecast - deep learning for time series forecasting framework
- repository of stock prediction models
- neural_prophet
- Time Series Feature Extraction Library