Folders and files

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
README.md		README.md

Repository files navigation

The python ecosystem contains different packages that can be used to process time series.

The following list is by no means exhaustive, feel free to submit a pr if you miss something.

Project Name	Description
PyFlux	Classical time series forecasting models
tsfresh	Extracts and filters features from time series, allowing supervised classificators and regressor to be applied to time series data
tspreprocess	Preprocess time series (resampling, denoising etc.), still WIP
tslearn	Direct time series classifiers and regressors
cesium	Time series platform with feature extraction aming for non uniformly sampled signals
hctsa	Matlab based feature extraction which can be controlled from python
statsmodels	Econometrics package has a submodule for classical time series models and hypothesis tests
prophet	Time series forecasting for time series data that has multiple seasonality with linear or non-linear growth
pyDSE	ARMA models for Dynamic System Estimation
fecon235	Computational tools for financial economics
Nitime	Timeseries analysis for neuroscience data

This curated list contains python packages for time series analysis

No releases published

No packages published