Apache TVM
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Overview
HEALTH SCORE
Excellent
92out of 100
Strong maintainer coverage and development cadence. Security posture is the only remaining gap.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Excellent(92/100)
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
34 active maintainers currently have merge rights.
Organization Diversity
Contributors span 250 organizations.
Project Achievements
Leaderboards
About
Apache TVM is an open source machine learning compiler framework for CPUs, GPUs, and machine learning accelerators. It aims to enable machine learning engineers to optimize and run computations efficiently on any hardware backend.
First commit
Software value
$26M
Tags
compiler
deep-learning
gpu
javascript
machine-learning
metal
opencl
performance
rocm
spirv
tensor
tvm
vulkan
License(s)
Apache-2.0
Data sources
Git
GitHub