timesfm
Latest Version: N/ATimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Owner: google-research
Stars
14.1k
GitHub star count
Last Release
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Contributors
0
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Health Score
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Key Features
Primary stack
Python (Apache-2.0)
Community adoption
14.1K stars
Tech Stack
About
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
timesfm is a open-source project built primarily with Python and maintained by google-research. The project is distributed under the Apache-2.0 license.
Current DevRadar signals show community adoption at 14.1K stars, 1.2K forks. Freshness signals include last commit 2026-04-03.
Analyst Note
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Best For
- Technical stack evaluation for engineering teams
- Dependency governance and upgrade planning in production systems
- Track delivery cadence and release quality from google-research
- Primary stack
Not Ideal For
- Release cadence may shift with maintainer priorities; plan controlled upgrade windows
Typical Use Cases
Decision Snapshot
- Product type: Open Source
- Primary language: Python
- Pricing model: Free
- License: Apache-2.0
Data Basis
- Last Sync: Apr 4, 2026, 12:06 AM
- Metrics Updated: Apr 2, 2026, 12:05 AM
- Completeness: 82%
- Last Verified: Apr 4, 2026, 12:06 AM
Data Status
Pros & Cons
Pros
- Strong community adoption.
- Active maintenance cadence.
Cons
- -Release cadence may shift with maintainer priorities; plan controlled upgrade windows