einops

PyPI v0.8.2

5,263,133 weekly downloads · MIT · 0 Dependencies

Recently publishedZero dependencies

Source data as of:

Summary

A new flavour of deep learning operations

Install pip install einops

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 5,263,133 Source: PyPI (Python Package Index)
Releases 17 Last release: 2026-01-26 Source: PyPI (Python Package Index)
Dependencies 0 Source: PyPI (Python Package Index)

Description

A new flavour of deep learning operations

Registry-supplied description, cleaned to plain text. Source: PyPI (Python Package Index).

Package details

Package
einops
Registry
PyPI
Version
0.8.2
Weekly downloads
5,263,133 (weekly)
License
MIT
Dependencies
0
Releases
17
Last release
2026-01-26
First published
2018-10-30
Keywords
deep learning, einops, machine learning, neural networks, scientific computations, tensor manipulation
Repository
https://github.com/arogozhnikov/einops

Why a field shows "—": A dash means the value is not published by the source registry for that package. Quanteta never fills in a guessed value — a missing field stays blank.

Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 31.9 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 10.4 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 28.5 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources