tinygrad
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Overview
HEALTH SCORE
Healthy
81out of 100
Solid maintainer coverage and development cadence. Security posture keeps the score from reaching Excellent.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Healthy(81/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 2 days.
Bus factor
26 active maintainers currently have merge rights.
Organization Diversity
Contributors span 846 organizations.
Project Achievements
Leaderboards
About
tinygrad is a minimalist deep learning framework designed to be simple, lightweight, and easy to understand. It implements neural network operations and autograd functionality in pure Python, allowing users to build and train neural networks with minimal dependencies.
First commit
Software value
$16M
License(s)
MIT
Links
Data sources
Git
GitHub