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einops

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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.

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Health breakdown

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

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About
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 Git
GitHub GitHub