What it does
GluonTS helps developers forecast time series: numbers measured over time, such as monthly sales, website visits or energy use. It focuses on deep-learning models and gives a range of likely outcomes, not just a single guess.
The README also points to Chronos, a related set of pretrained models that can forecast new data without being trained on it first.
Who it's for
Data scientists and developers working on forecasting.
Can I use it without coding?
Developers only. It's a Python library used in your own code. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- Computer
- An ordinary computer is fine
- 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 (Apache-2.0): Permissive: free to use, change and share, including for business.
- More on staying safe
Where people are talking about it
- GluonTS: Probabilistic Time Series Modeling in PythonResearch paper · Jun 2019