tsaug – a time series data augmentation library in Python
A Python package for time series augmentation. Contribute to arundo/tsaug development by creating an account on GitHub.
tsaug – a time series data augmentation library in Python launched on November 24, 2019 with 11 votes, #838 of 3,203 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
tsaug is a Python library for augmenting time series data. It provides tools to generate synthetic variations of temporal datasets, helping developers expand training data for machine learning models. The library is designed for data scientists and engineers working with sequential data who need to increase dataset size without collecting new samples. It offers automated transformation methods specifically tailored for time series patterns.
written from the facts on this page · September 2026
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