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Keras

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HEALTH SCORE
Excellent
93out of 100

Strong maintainer coverage and security posture. Development cadence is the only remaining gap.

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 1 day.

Bus factor

36 active maintainers currently have merge rights.

Organization Diversity

Contributors span 250 organizations.

Project Achievements

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About
Keras is an open-source deep learning framework that provides a Python interface for artificial neural networks. It serves as a high-level API capable of running on top of multiple backend engines including TensorFlow, offering a user-friendly, modular, and extensible way to build and train deep learning models.
First commit
Software value
$9.3M
Tags
data-science
deep-learning
jax
machine-learning
neural-networks
python
pytorch
tensorflow
License(s)
Apache-2.0

Data sources

Git Git
GitHub GitHub