Home Projects einops
einops
Python

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

by arogozhnikov · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
cupydeep-learningeinopsMITPython
View on GitHub
In plain words

Perform flexible operations on data arrays in Python for clearer and more reliable code.

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 →
einops — GitHub preview card
📈 Star history
9.6k9.5k
2026-07-042026-08-31
📈 Track einops

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

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

einops has 9.5k stars on GitHub. It has been forked 400 times. einops is written mainly in Python. It has been in active development since 2018. einops is available under the MIT license. Its main topics are cupy, deep-learning, einops, jax.

Frequently asked questions

What is einops?

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Is einops open source?

einops is an open-source project. It is released under the MIT license.

Is einops free?

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

What license does einops use?

einops is available under the MIT license.

What language is einops written in?

einops is written mainly in Python.

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

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

[![olud.ai](https://olud.ai/badge.php?tool=arogozhnikov-einops)](https://olud.ai/project/arogozhnikov-einops.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.