VMAF
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Overview
HEALTH SCORE
Healthy*
Partial score (2/3 categories)
46out of 65
Solid development cadence. Maintainer coverage keeps the score from reaching Excellent. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Healthy*(46/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 3 days, but most repositories have response times over 90 days.
Bus factor
8 active maintainers currently have merge rights.
Organization Diversity
Contributors span 112 organizations.
Project Achievements
Leaderboards
About
VMAF (Video Multi-Method Assessment Fusion) is a perceptual video quality assessment algorithm developed by Netflix. It combines multiple quality metrics and machine learning to predict subjective video quality scores that align with human perception. The tool helps evaluate and optimize video compression and streaming quality.
First commit
Software value
$4.1M
License(s)
Other
Links
Data sources
Git
GitHub