TabFM (Tabular Foundation Model) is a pretrained tabular foundation model developed by Google Research for tabular data regression and classification.
First read
google-research/tabfm is active enough to inspect further, but the surrounding proof is thinner. Use the source repository and nearby comparisons to decide whether this is rising substance or just short-term visibility.
2.8K public stars in the current GitStar snapshot.
Needs a narrower context read
Last commit Sep 18, 2026.
Active enough
Treat stars as discovery context until a linked package appears.
No linked package mapping
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
Compare lens
plotly/dash and PrefectHQ/prefect are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Package reality
No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.
GitStar expects a package signal here, but no npm or PyPI package is linked to this repository yet.
Validation note
GitStar can summarize public signals for google-research/tabfm, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines fresh update.
Reconstructed from current stars and cached daily/weekly/monthly deltas.
GitStar can see repository momentum, but it does not have a reliable linked package signal yet.
Treat stars and recent movement as discovery context only until npm or PyPI usage is available.
Shares the data category footprint with google-research/tabfm, so the comparison is closer to a same-problem decision than a same-language coincidence.
Shares the data category footprint with google-research/tabfm, so the comparison is closer to a same-problem decision than a same-language coincidence.
Shares the data category footprint with google-research/tabfm, so the comparison is closer to a same-problem decision than a same-language coincidence.
Shares the data category footprint with google-research/tabfm, so the comparison is closer to a same-problem decision than a same-language coincidence.
GitStar picked dash + prefect as the closest next comparison from the related repository set.
[](https://gitstar.space/repo/google-research/tabfm)<a href="https://gitstar.space/repo/google-research/tabfm"><img src="https://gitstar.space/api/badge/google-research/tabfm" alt="GitStar"></a>Data Apps & Dashboards for Python. No JavaScript Required.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
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matplotlib: plotting with Python
This page provides a quick overview of google-research/tabfm based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
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