libvmaf ☆
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Description:
Perceptual video quality assessment based on multi-method fusion
Type: Formula  |  Tracked Since: Dec 28, 2025
Links: Homepage  |  @netflixoss  |  formulae.brew.sh
Category: Multimedia
Tags: video quality vmaf multimedia library
Install: brew install libvmaf
About:
Libvmaf is the official library for Netflix's Video Multi-Method Assessment Fusion (VMAF) algorithm. It provides a perceptual video quality metric that combines multiple elementary models to predict human visual satisfaction. This library is designed for integration into video processing pipelines for accurate quality control and optimization.
Key Features:
  • Implements the VMAF perceptual video quality metric
  • C library for high-performance integration
  • Supports custom models and training datasets
  • Includes command-line tools for quality assessment
Use Cases:
  • Benchmarking video codec performance and compression efficiency
  • Automated quality control in video encoding pipelines
  • Comparing the visual quality of different video processing algorithms
Alternatives:
  • ffmpeg – FFmpeg is a general-purpose multimedia framework that can calculate PSNR and SSIM, whereas Libvmaf provides the specific, advanced VMAF metric.
  • vmaf – The 'vmaf' formula is the Python wrapper; this 'libvmaf' formula provides the core C library needed for performance-critical applications.
Version History
Detected Version Rev Change Commit
Oct 27, 2024 12:49pm 0 VERSION_BUMP 0338faec
Sep 10, 2024 6:53am 0 VERSION_BUMP fccbde93
Aug 28, 2024 5:53pm 0 VERSION_BUMP 53fc39b9
Jan 3, 2024 9:19pm 0 VERSION_BUMP 016ddeaa
Sep 17, 2023 9:35pm 0 VERSION_BUMP aa519899
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