XLA
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Overview
HEALTH SCORE
Healthy
81out of 100
Solid maintainer coverage and security posture. Development cadence 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 4 days.
Bus factor
123 active maintainers currently have merge rights.
Organization Diversity
Contributors span 375 organizations.
Project Achievements
Leaderboards
About
XLA (Accelerated Linear Algebra) is a compiler and runtime system for machine learning that optimizes and executes computational graphs across different hardware platforms. It provides hardware abstraction and optimization capabilities for deep learning frameworks, enabling efficient execution of ML models on various accelerators like GPUs and TPUs.
First commit
Software value
$64M
License(s)
Apache-2.0
Links
Data sources
Git
GitHub