Jupyter Kernel for ACL2

acl2, jupyter, jupyter-kernel, theorem-prover
pip install acl2-kernel==0.3.1


acl2-kernel PyPI Binder

Jupyter Kernel for ACL2

What is Jupyter and ACL2?

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. (

ACL2 is a logic and programming language in which you can model computer systems, together with a tool to help you prove properties of those models. "ACL2" denotes "A Computational Logic for Applicative Common Lisp". (


We follow to the standard jupyter kernel installation. So, you will install the kernel by pip command, and will call the installation command like,

$ pip3 install jupyter acl2-kernel
$ python3 -m acl2_kernel.install
$ jupyter notebook

You also can see the deep usage by python3 -m acl2_kernel.install --help.


In some case, you might want to run the kernel in the Docker containers. This repository contains Dockerfile example. You can build example image by the following command.

$ docker build . -t acl2

To run the container, you would type the command like

$ docker run --rm -p 8888:8888 acl2 jupyter notebook --ip=''

A running example is available in the example/ directory. You can try it on Binder.

Building from source

Install Poetry and in the root directory, do

$ poetry build
$ pip3 install dist/acl2-kernel-<version>.tar.gz
$ python3 -m acl2_kernel.install --acl2 <path-to-acl2-binary>

Related Projects

  • Jupyter - Softwares for interactive computing
  • ACL2 - Theorem prover based on Common Lisp


This project is released under the BSD 3-clause license.

Copyright (c) 2020, TANIGUCHI Masaya All rights reserved.

We borrow code from the following projects.

  • Egison Kernel; Copyright (c) 2017, Satoshi Egi and contributors All rights reserved.
  • Bash Kernel; Copyright (c) 2015, Thomas Kluyver and contributors All rights reserved.