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google-research/timesfm

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

★ 32.4k▲ +66 / 7dDaily star increases over 14 days. Hollow bars mean no data. The last day may be partial.2026-09-03 +172026-09-04 +982026-09-05 +892026-09-06 +1432026-09-07 +112026-09-08 no data2026-09-09 +42026-09-10 +22026-09-11 +22026-09-12 +212026-09-13 +22026-09-14 no data2026-09-15 +162026-09-16 +23largest one-day increase in the 14 days+143last 14 days · stars per dayhollow = no data

RANKS All-time #224 · DATA #5 · Rising 30d #42

AT A GLANCE

LANGUAGE
Python
LICENSE
Apache-2.0
USAGE
Commercial use, redistribution OK. Keep notices; mark changes.
ACTIVITY
last commit 7 days ago ()
HOMEPAGE
https://research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/
REPOSITORY
GitHub ↗
CATEGORY
DATA

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README EXCERPT

TimesFM TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. Paper: A decoder-only foundation model for time-series forecasting, ICML 2024. (NEW!) TimesFM 3.0 Checkpoint: google/timesfm-3.0-pytorch . Checkpoints (up to 2.5): TimesFM Hugging Face Collection. Google Research blog (New blog post for TimesFM 3.0 coming soon!). TimesFM in Google 1P Products: BigQuery ML: Enterprise level SQL queries for scalability and reliability. Google Sheets: For your daily spreadsheet. Vertex Model Garden: Dockerized endpoint for agentic calling. This open version is not an officially supported Google product. Latest Model Version: TimesFM 3.0 Archived Model Versions: - 2.5: relevant code under src/timesfm . - 1.0 and 2.0: relevant code archived in the subdirectory v1 . You can pip install timesfm==1.3.0 to install an older version of this package to load them. -------------------------------------------------------------------------------- Update — August 2026 TimesFM 3.0 is out! TimesFM 3.0 introduces native multivariate time-series forecasting , flexible covariate support (both past-only and past-and-future…

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TIMELINE

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