Home Projects OpenEMMA
OpenEMMA
Python

OpenEMMA

OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.

by taco-group · GitHub
Stars
Forks
Trending
License
Created
Last commit
Category
Language
algorithmsartificial-intelligenceautonomous-carApache-2.0Python
View on GitHub
In plain words

Use an open-source tool for planning movements in self-driving cars, based on advanced AI models.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
OpenEMMA — GitHub preview card
📈 Star history
951943
2026-07-202026-08-31
📈 Track OpenEMMA

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.

OpenEMMA has 951 stars on GitHub. It has been forked 127 times. OpenEMMA is written mainly in Python. It has been in active development since 2024. OpenEMMA is available under the Apache-2.0 license. Its main topics are algorithms, artificial-intelligence, autonomous-car, autonomous-driving.

Frequently asked questions

What is OpenEMMA?

OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.

Is OpenEMMA open source?

OpenEMMA is an open-source project. It is released under the Apache-2.0 license.

Is OpenEMMA free?

Yes. OpenEMMA is free and open source — you can use, modify and self-host it.

What license does OpenEMMA use?

OpenEMMA is available under the Apache-2.0 license.

What language is OpenEMMA written in?

OpenEMMA is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — OpenEMMA

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=taco-group-openemma)](https://olud.ai/project/taco-group-openemma.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.