PriorLabs/TabPFN
⚡ TabPFN: Foundation Model for Tabular Data ⚡
This tool helps data professionals quickly analyze and make predictions from structured data, like spreadsheets or databases. You input your raw tabular data, and it outputs predictions for classification (categorizing data) or regression (forecasting numerical values). It's designed for data scientists, analysts, or researchers who need to build predictive models without extensive manual tuning.
5,846 stars. Used by 5 other packages. Actively maintained with 34 commits in the last 30 days. Available on PyPI.
Use this if you have a moderately sized tabular dataset (up to 100,000 rows and 2000 columns) and need accurate predictions quickly without complex model configuration or extensive data preprocessing.
Not ideal if you have very large datasets (hundreds of thousands of rows or more) or require deep control over model architecture and training for highly specialized tasks.
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5,846
Forks
586
Language
Python
License
—
Category
Last pushed
Mar 11, 2026
Commits (30d)
34
Dependencies
14
Reverse dependents
5
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