timestral
Repository for Timestral, the time-series foundation model by Mistral AI
timestral launched on 15 October 2026. It ranked #99 on Daily Launch on 24 October 2026 with a Launch Score of 15, from +36 stars on 24 Oct on GitHub. It was new in the ranking that day.
What is timestral?
Timestral is a family of time series foundation models for multivariate probabilistic forecasting, with support for past-only and known-future covariates. This repository provides standalone inference for Timestral models. It needs only PyTorch, NumPy, safetensors and huggingfacehub, and runs on CPU or GPU.
From its README on GitHub
timestral is a repo by mistralai on GitHub. It is written in Python and released under the Apache-2.0 license.
How to get timestral
pip install git+https://github.com/mistralai/timestral.gitFrom its README on GitHub
More steps and the source are in its repository on GitHub.
Launch timeline
Launch Score, last 7 days
Ranked on one day so far: 15 of 100 on 24 October.