pyg-team/pytorch-frame
Tabular Deep Learning Library for PyTorch
This project helps data scientists and machine learning engineers build and train advanced deep learning models using diverse tabular data. It takes in raw tabular data, which can include various column types like numbers, text, images, or timestamps, and outputs highly predictive models. It's designed for practitioners who want to leverage deep learning for complex prediction tasks on structured datasets.
773 stars. Used by 1 other package. Actively maintained with 8 commits in the last 30 days. Available on PyPI.
Use this if you need to build deep learning models on tabular data that combines many different data types, including text and images, and want to experiment with state-of-the-art architectures.
Not ideal if your primary need is for traditional tree-based models like GBDT, or if you're not comfortable working with deep learning frameworks and Python.
Stars
773
Forks
71
Language
Python
License
MIT
Category
Last pushed
Mar 04, 2026
Commits (30d)
8
Dependencies
6
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/pyg-team/pytorch-frame"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
PriorLabs/TabPFN
⚡ TabPFN: Foundation Model for Tabular Data ⚡
NVIDIA-Merlin/NVTabular
NVTabular is a feature engineering and preprocessing library for tabular data designed to...
PriorLabs/tabpfn-extensions
Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗
pytorch-tabular/pytorch_tabular
A unified framework for Deep Learning Models on tabular data
soda-inria/tabicl
TabICLv2: A state-of-the-art tabular foundation model