TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
This open version is not an officially supported Google product.
TimesFM 3.0 finishes rollout in Google Cloud BigQuery ML, supporting commercial and production uses (see clarified license notice).
Description and README excerpt from google-research/timesfm on GitHub ↗.
google-research/timesfm was first seen on GitHub · Trending Python today on Nov 5, 2026. Since then it has appeared in 8 checks on 2 different days. Its best position was #12 of 18, reached on Nov 5, 11:49 UTC. It dropped off the list after Nov 6, 08:49 UTC.
Position on GitHub · Trending Python today at every check (lower is better).
Best rank per day (UTC).
Platform metric as reported by GitHub.
Archived daily, weekly and monthly lists that include this entry.
Not at the moment. It was last on the list on Nov 6, 08:49 UTC, after 2 days of trending.
#12 on GitHub · Trending Python today, on Nov 5, 11:49 UTC. Trendoday checks this list every 180 minutes.
It was first seen on Nov 5, 2026 and has been on the list on 2 days (8 checks) since.
Mostly Python; it is licensed under Apache-2.0. It has 35.2k stars and 3444 forks.