Time Series Data Engineering

Packages	Description	Downloads (pypi)
DatasetsForecast	Nixtla package for downloading and loading common forecasting benchmarks such as M3, M4, M5, Favorita, and long-horizon datasets.	PyPI
Tsbootstrap	Bootstrap toolkit for generating resampled time series with a unified sklearn-like API.	PyPI
YData Synthetic	Synthetic data generation library that includes time series generation workflows and low-code tooling.	PyPI
TimeSynth	TimeSynth is an open source library for generating synthetic time series for model testing. The library can generate regular and irregular time series.
Deepecho	DeepEcho is a Synthetic Data Generation Python library for mixed-type, multivariate time series.
Torchtime	Torchtime provides PyTorch data sets for supervised time series classification and prediction problems.
Tsaug	Tsaug is a Python package for time series data augmentation. It offers a set of augmentation methods for time series, as well as a simple API to connect multiple augmenters into a pipeline.
Tsdb	TSDB provides an all-in-one solution for downloading and loading open-source time-series datasets.
Tsdownsample	Tsdownsample is a Python package for fast time series downsampling.