PriorLabs/TabPFN
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 23 days ago, with 71 contributors on GitHub.
Use Cases & Benefits
- Provides a foundation model for fast and accurate tabular data classification and regression using transformer-based architecture.
- Delivers state-of-the-art performance on small to medium tabular datasets with fast inference and GPU acceleration support.
- Use for building type-safe, high-accuracy classifiers and regressors on tabular datasets up to 50,000 rows with minimal feature engineering.
- Use for integrating tabular foundation models into production pipelines requiring low-latency predictions with optional GPU or cloud API usage.
- Use for research and experimentation with tabular data modeling, including finetuning, ensembling, and interpretability via companion extensions.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
⚡ GPU Recommended: For optimal performance, use a GPU (even older ones with ~8GB VRAM work well; 16GB needed for some large datasets). On CPU, only small datasets (≲1000 samples) are feasible. No GPU? Use our free hosted inference via TabPFN Client.
Official installation (pip)
OR installation from source
OR local development installation: First install uv, which we use for development, then run
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
812+41
Open issues
25+2
Compared with peers in Machine Learning
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| rohitg00/ai-engineering-from-scratch | 78.3K | +1.6K | 75 | 1 day ago |
| OpenBMB/VoxCPM | 42.2K | +1.5K | 75 | 183 days ago |
| zeroclaw-labs/zeroclaw | 33.3K | +197 | 75 | 14 days ago |
| GeeeekExplorer/nano-vllm | 16.3K | — | 12 | — |
| omnigent-ai/omnigent | 11.2K | — | 60 | 6 days ago |
| PriorLabs/TabPFN | 8.4K | — | 59 | 23 days ago |
| Category median | 33.3K | +1.5K | 75 | — |
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