Torch-MLIR Project
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Overview
HEALTH SCORE
Fair
66out of 100
Security posture drags the score down. Maintainer coverage and development cadence help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(66/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 15 days.
Bus factor
54 active maintainers currently have merge rights.
Organization Diversity
Contributors span 93 organizations.
Project Achievements
Leaderboards
About
Torch-MLIR is a project that integrates PyTorch with MLIR (Multi-Level Intermediate Representation), enabling the compilation and optimization of PyTorch models through MLIR's infrastructure. It provides a bridge between PyTorch's frontend and LLVM's MLIR compiler framework, allowing for better optimization and targeting of various hardware platforms.
First commit
Software value
$5.7M
Tags
compiler
mlir
pytorch
License(s)
Other
Links
Data sources
Git
GitHub