einops
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Overview
HEALTH SCORE
Fair
65out of 100
Security posture drags the score down. Development cadence and maintainer coverage help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(65/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 0 days.
Bus factor
Only 1 active maintainer currently has merge rights.
Organization Diversity
Contributors span 106 organizations.
Project Achievements
LeaderboardsAbout
Einops is a Python library that provides a powerful and unified way to manipulate tensor dimensions in deep learning frameworks. It offers consistent and readable operations for reshaping, permuting, and splitting tensors across multiple ML frameworks like PyTorch, TensorFlow, and JAX.
First commit
Software value
$405K
Tags
cupy
deep-learning
einops
jax
mlx
numpy
pytorch
tensor
tensorflow
License(s)
MIT
Data sources
Git
GitHub