py-spy
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Overview
HEALTH SCORE
Fair
59out of 100
Development cadence drags the score down. Security posture and maintainer coverage help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(59/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 75 days, but most repositories have response times over 90 days.
Bus factor
3 active maintainers currently have merge rights.
Organization Diversity
Contributors span 340 organizations.
Project Achievements
Leaderboards
About
py-spy is a sampling profiler for Python programs that lets you visualize what your Python program is spending time on without restarting the program or modifying the code. It can generate flame graphs showing time spent in various functions and works by sampling the Python program's stack.
First commit
Software value
$2.5M
Tags
performance-analysis
profiler
profiling
python
License(s)
MIT
Links
Data sources
Git
GitHub