google-research

timesfm

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

Trusted Project Python
26.2k stars via trending-python
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Growth we measured

10 daily star snapshots stored by whatstrending.ai, 2026-06-19 to 2026-06-30. GitHub shows today's number; this is the movement behind it.

26,18423,832
2026-06-19 — 23,832 stars2026-06-20 — 24,074 stars2026-06-21 — 24,533 stars2026-06-22 — 24,878 stars2026-06-23 — 25,137 stars2026-06-24 — 25,309 stars2026-06-25 — 25,444 stars2026-06-26 — 25,566 stars2026-06-29 — 26,139 stars2026-06-30 — 26,184 stars
2026-06-1910 stored snapshots2026-06-30
Stars26,184our snapshot on 2026-06-30
7-day pace+150/day+1,047 stars · 2026-06-23 → 2026-06-30 (7 days)
30-day paceno data yettracked for 11 days so far
Trajectorynot enough historyneeds a short and a long measured window
First recorded2026-06-1910 snapshots across 11 days

How this is measured. whatstrending.ai stores its own daily star and fork snapshot for every repo in its trending index. Every figure above is a delta between two of those stored rows — 10 snapshots for google-research/timesfm between 2026-06-19 and 2026-06-30. Our history starts 2026-06-19; we hold nothing from before that date. Nothing here is estimated, interpolated or back-filled, and days without a snapshot are simply not plotted.

For the maintainer

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google-research/timesfm is in the whatstrending.ai tracked index, so this badge already resolves. It is free, needs no account, and updates itself: the rank is recomputed from our stored daily snapshots and the image is re-fetched a few times a day. Clicking it lands on this page, which shows the star history we measured.

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