llama-cpp-python
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Overview
HEALTH SCORE
Excellent
87out 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(87/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 6 days.
Bus factor
5 active maintainers currently have merge rights.
Organization Diversity
Contributors span 213 organizations.
Project Achievements
Leaderboards
About
A Python binding for llama.cpp, enabling integration of the llama.cpp library for running large language models locally. It provides a Python interface to load and run various LLM models compatible with llama.cpp, supporting both CPU and GPU acceleration.
First commit
Software value
$1.5M
License(s)
MIT
Data sources
Git
GitHub