RepoAlerts

mistralai/timestral

Can I trust it?

Worth a closer look before you use it.

  • Warnings Check

    Very new: it was created 5 days ago. Wait a little before installing it.

  • Stars from real accounts No data

    We haven't checked its stars for fakes yet.

  • Active OK

    Last change 5 days ago.

  • Licence OK

    Apache-2.0: you can use it for free, also in a commercial product. Keep the licence notice.

Quick checks from public data. They help, but they are no guarantee.

What it is

Standalone inference code for Timestral, a family of time series foundation models for multivariate probabilistic forecasting. Supports past-only, known-future and categorical covariates, outputs 21 quantiles per time step, and runs on CPU or GPU with PyTorch, NumPy, safetensors…

Who it's for

Python developers and data scientists producing multivariate probabilistic time series forecasts

How to use it

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Help me install and set up mistralai/timestral in my project. Follow its README: https://github.com/mistralai/timestral. Explain each step and check it is safe before running anything.

Read the README

Star curve

655From 0 to 655 stars between 15 Oct 2026 and 20 Oct 2026.

On the radar

20 Oct 2026: #99
Best place #99, on 20 Oct 2026. In the top 100 on 1 of the last 3 days.

Its place among the radar's top 100, day by day, with #1 at the top. Gaps are days it was out of the top 100.

Records

  • Best place on RepoAlerts: #99, on 20 Oct 2026

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