ml_dtypes
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Overview
HEALTH SCORE
Healthy
83out 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(83/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 1 day.
Bus factor
5 active maintainers currently have merge rights.
Organization Diversity
Contributors span 25 organizations.
Project Achievements
Leaderboards
About
A Python library providing NumPy-compatible custom data types optimized for machine learning applications, with support for JAX and other ML frameworks
First commit
Software value
$340K
License(s)
Apache-2.0
MPL-2.0
Links
Data sources
Git
GitHub