macOS
brew install libvmaflocal Homebrew formula metadata
sudo port install libvmafMacPorts ports tree · multimedia/libvmaf/Portfile · source: api.github.com
brew
Perceptual video quality assessment based on multi-method fusion. Version 3.2.0 via Homebrew; verified 2026-06-20.
install
brew install libvmaflocal Homebrew formula metadata
sudo port install libvmafMacPorts ports tree · multimedia/libvmaf/Portfile · source: api.github.com
sudo apk add libvmafAlpine Linux edge package indexes · libvmaf · source: dl-cdn.alpinelinux.org
sudo dnf install libvmafFedora Rawhide package metadata · libvmaf · source: dl.fedoraproject.org
nix profile install nixpkgs#libvmafnixpkgs package indexes · pkgs/by-name/li/libvmaf/package.nix · source: api.github.com
sudo pacman -S vmafArch Linux sync databases · vmaf · source: geo.mirror.pkgbuild.com
sudo zypper install libvmaf3openSUSE Tumbleweed package metadata · libvmaf3 · source: download.opensuse.org
scoop install main/vmafScoop official bucket manifest trees · bucket/vmaf.json · source: api.github.com
overview
Perceptual video quality assessment based on multi-method fusion
history
VMAF, packaged by Homebrew as libvmaf, is Netflix's open-source implementation of Video Multi-Method Assessment Fusion, a perceptual video-quality metric for comparing encoded video against a reference. The package matters because it turns a research metric into a command-line tool, C library, Python tooling, and FFmpeg-integrated workflow used by video engineers rather than only by researchers.
Netflix developed VMAF to better predict viewer-perceived streaming video quality than simple signal metrics such as PSNR. Netflix's own reference list traces VMAF through earlier academic work on fusion-based video quality assessment and notes that the project was open-sourced on GitHub in June 2016.
The first public implementation combined a C feature-extraction core with Python control code for experimentation. By October 2018 Netflix described the addition of a standalone executable, AVX acceleration in December 2016, frame-level multithreading in June 2018, and the packaging of the implementation as libvmaf with help from the FFmpeg community.
VMAF became part of practical codec evaluation because Netflix used it for production encoding decisions, Dynamic Optimizer workflows, and A/B experimentation around video quality. The GitHub README also documents FFmpeg support through configure --enable-libvmaf and AOM common test-condition usage, which made the library a package-manager staple for video-toolchain builds.
Package users install libvmaf to run the vmaf command, link the C library into quality-analysis tools, train or test models with the Python layer, or enable FFmpeg's libvmaf filter. It is especially useful when comparing encoders, bitrates, resolutions, or codec changes on a perceptual scale.
For package nerds, libvmaf is the quality-metric dependency that turns FFmpeg from a transcoder into a measurable codec lab. Its presence in package managers signals a mature media stack: SIMD-heavy native code, model files, Python tooling, and a bridge between academic video-quality research and production streaming workflows.
security posture
broad file, network, media, or database tool signal.
blue risk · medium confidence · tool
Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.
executables
| Command | Kind | Exposure | Note |
|---|---|---|---|
vmaf | cli | global executable |
freshness
These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.
https://github.com/Netflix/vmaf
install metadata
| Package key | brew:libvmaf |
|---|---|
| Version | 3.2.0 |
| Package manager | Homebrew |
| Package manager page | https://formulae.brew.sh/formula/libvmaf |
| Homepage | https://github.com/Netflix/vmaf |
| Repository | https://github.com/Netflix/vmaf |
| Upstream docs | https://github.com/Netflix/vmaf/blob/master/resource/doc/README.md |
| License | BSD-2-Clause-Patent |
| Source archive | https://github.com/Netflix/vmaf/archive/refs/tags/v3.2.0.tar.gz |
| Last updated | 2026-06-20T15:12:41Z |
| Pulse | updated |
| Build dependencies | meson, ninja |
| Bottle | available (on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | not defined |
| Service | none declared |
registry facts
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | libvmaf |
| Version Scheme | 0 |
| Revision | 0 |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
source database matches
Matches are pulled from external package-manager indexes and kept separate from local Automic Vault package links.
libvmaf
nix profile install nixpkgs#libvmaflibvmaf 3.0.0-r0
Perceptual video quality assessment based on multi-method fusion
https://github.com/Netflix/vmaf
sudo apk add libvmaflibvmaf-dev 3.0.0-r0
Perceptual video quality assessment based on multi-method fusion (development files)
https://github.com/Netflix/vmaf
sudo apk add libvmaf-devlibvmaf 3.1.0-1.fc45
Library for vmaf
https://github.com/netflix/vmaf
sudo dnf install libvmaflibvmaf
sudo port install libvmaflibvmaf-devel 3.1.0-1.fc45
Development files for vmaf
https://github.com/netflix/vmaf
sudo dnf install libvmaf-develvmaf 3.1.0-1.fc45
Video Multi-Method Assessment Fusion
https://github.com/netflix/vmaf
sudo dnf install vmafvmaf-models 3.1.0-1.fc45
Model files for vmaf
https://github.com/netflix/vmaf
sudo dnf install vmaf-modelsvmaf 3.1.0-1
Perceptual video quality assessment algorithm based on multi-method fusion
https://github.com/Netflix/vmaf/
sudo pacman -S vmaflibvmaf3 3.1.0-1.2
Perceptual video quality assessment algorithm
https://github.com/Netflix/vmaf
sudo zypper install libvmaf3libvmaf3-32bit 3.1.0-1.2
Perceptual video quality assessment algorithm
https://github.com/Netflix/vmaf
sudo zypper install libvmaf3-32bitvmaf 3.1.0-1.2
Perceptual video quality assessment algorithm
https://github.com/Netflix/vmaf
sudo zypper install vmafvmaf-devel 3.1.0-1.2
Development tools for Video Multi-Method Assessment Fusion
https://github.com/Netflix/vmaf
sudo zypper install vmaf-develmain/vmaf
scoop install main/vmafsource trail
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