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LeanDojo: Machine Learning for Theorem Proving in Lean

LeanDojo

LeanDojo is a Python library for learning–based theorem provers in Lean, providing two main features:

LeanDojo's current version is compatible with Lean 4 v4.3.0-rc2 or later. We strongly suggest using the current version. However, you may use the legacy branch if you want to work with earlier versions (including Lean 3).

Documentation Status PyPI GitHub license Code style: black


Requirements

Installation

LeanDojo is available on PyPI and can be installed via pip:

pip install lean-dojo

It can also be installed locally from the Git repo:

pip install .

Documentation

Questions and Bugs

Related Links

Citation

LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
Neural Information Processing Systems (NeurIPS), 2023
Kaiyu Yang, Aidan Swope, Alex Gu, Rahul Chalamala,
Peiyang Song, Shixing Yu, Saad Godil, Ryan Prenger, Anima Anandkumar

@inproceedings{yang2023leandojo,
  title={{LeanDojo}: Theorem Proving with Retrieval-Augmented Language Models},
  author={Yang, Kaiyu and Swope, Aidan and Gu, Alex and Chalamala, Rahul and Song, Peiyang and Yu, Shixing and Godil, Saad and Prenger, Ryan and Anandkumar, Anima},
  booktitle={Neural Information Processing Systems (NeurIPS)},
  year={2023}
}