ONNX
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Overview
HEALTH SCORE
Fair
68out 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(68/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 22 days.
Bus factor
24 active maintainers currently have merge rights.
Organization Diversity
Contributors span 593 organizations.
Archived repositories are excluded from Health Score.
Project Achievements
Leaderboards
About
ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers.
First commit
Software value
$53M
Maturity
Graduated
License(s)
Apache-2.0
MIT
Other
Data sources
Groups.io
Git
GitHub
Hacker News