What it does
TSLib is a collection of deep learning models for working with time series, meaning data that is recorded over time, such as weather readings or sales figures.
It gives researchers a tidy way to test and compare many published models on tasks like forecasting the future, filling in missing values, spotting unusual points, and sorting data into groups.
Its maintainers note they are no longer actively adding features, but say the included models remain correct to use and study.
Who it's for
Researchers and students studying deep learning for time series data.
Can I use it without coding?
Developers only. It is research code that needs Python and machine learning knowledge. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- Runs on
- Linux, Server
- Computer
- Works best on a powerful computer or one with a graphics card (GPU)
- Privacy
- Runs on your own device: your data stays with you
- API key
- Not needed
Try it
Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?
Before you install
- Only download from the official GitHub page. Copies with similar names exist for many popular projects.
- License (MIT): Very permissive: free to use, change and share, including for business.
- More on staying safe