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Install libvmaf with Homebrew, apk, dnf, MacPorts, Nix, pacman, scoop, zypper

Perceptual video quality assessment based on multi-method fusion. Version 3.2.0 via Homebrew; verified 2026-06-20.

install

Additional install commands

macOS

Homebrewverified · 100%
brew install libvmaf

local Homebrew formula metadata

MacPortsverified · 94%
sudo port install libvmaf

MacPorts ports tree · multimedia/libvmaf/Portfile · source: api.github.com

Linux

Alpine Linux apkverified · 92%
sudo apk add libvmaf

Alpine Linux edge package indexes · libvmaf · source: dl-cdn.alpinelinux.org

Fedora dnfverified · 92%
sudo dnf install libvmaf

Fedora Rawhide package metadata · libvmaf · source: dl.fedoraproject.org

Nixverified · 92%
nix profile install nixpkgs#libvmaf

nixpkgs package indexes · pkgs/by-name/li/libvmaf/package.nix · source: api.github.com

Arch Linux pacmanverified · 92%
sudo pacman -S vmaf

Arch Linux sync databases · vmaf · source: geo.mirror.pkgbuild.com

openSUSE zypperverified · 92%
sudo zypper install libvmaf3

openSUSE Tumbleweed package metadata · libvmaf3 · source: download.opensuse.org

Windows

Scoopverified · 92%
scoop install main/vmaf

Scoop official bucket manifest trees · bucket/vmaf.json · source: api.github.com

overview

Package summary

Perceptual video quality assessment based on multi-method fusion

Commands and aliases

  • vmaf

history

Project history and usage

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.

Project history

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.

Adoption history

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.

How it is used

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.

Why package nerds care

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.

Timeline

  • 2014-2015: Academic work on fusion-based and ensemble-learning video quality metrics appears in the VMAF reference list.
  • 2016-06: Netflix open-sources VMAF on GitHub.
  • 2016-12: Netflix adds AVX optimization to VMAF's convolution work.
  • 2018-06: Frame-level multithreading and frame skipping make practical high-resolution runs faster.
  • 2018-10-25: Netflix describes libvmaf packaging and FFmpeg filter adoption in a VMAF project update.
  • 2020-12-03: libvmaf v2.0.0 is released with a new optimized implementation and API.
  • 2023-12-07: libvmaf v3.0.0 removes APIs deprecated in v2.0.0.
  • 2026-06: Netflix announces VMAF model v1 documentation and model-selection guidance.

Related projects

  • VMAF is closely related to FFmpeg, AOM codec test conditions, Netflix's Dynamic Optimizer work, CAMBI for banding detection, and traditional objective metrics such as PSNR, SSIM, MS-SSIM, and PSNR-HVS that are also exposed by the package.

security posture

Risk level: blue

broad file, network, media, or database tool signal.

Risk classifier

blue risk · medium confidence · tool

Why

  • broad file, network, media, or database tool signal

Signals

  • text:video

Install behavior

  • No Homebrew post-install hook is recorded in formula metadata.
  • Homebrew bottle metadata is available for 6 platform targets.
  • Build metadata lists 2 build dependencies.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.

executables

Installed executables

CommandKindExposureNote
vmafcliglobal executable

freshness

Version and 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.

page generated2026-07-08
manager version3.2.0
manager updated2026-06-20
local dataok
upstreamcurrent
latest detectedv3.2.0

https://github.com/Netflix/vmaf

  • okNo freshness warnings were generated.

install metadata

Package metadata

Package keybrew:libvmaf
Version3.2.0
Package managerHomebrew
Package manager pagehttps://formulae.brew.sh/formula/libvmaf
Homepagehttps://github.com/Netflix/vmaf
Repositoryhttps://github.com/Netflix/vmaf
Upstream docshttps://github.com/Netflix/vmaf/blob/master/resource/doc/README.md
LicenseBSD-2-Clause-Patent
Source archivehttps://github.com/Netflix/vmaf/archive/refs/tags/v3.2.0.tar.gz
Last updated2026-06-20T15:12:41Z
Pulseupdated
Build dependenciesmeson, ninja
Bottleavailable (on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-installnot defined
Servicenone declared

registry facts

Source database details

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namelibvmaf
Version Scheme0
Revision0
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

source database matches

Other package-manager records

Matches are pulled from external package-manager indexes and kept separate from local Automic Vault package links.

Nix95%

libvmaf

nix profile install nixpkgs#libvmaf
  • normalized package name match
  • Matched by: Libvmaf
nixpkgs package indexes · api.github.com · nixpkgs package indexes: pkgs/by-name/li/libvmaf/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1
apk95%

libvmaf 3.0.0-r0

Perceptual video quality assessment based on multi-method fusion

https://github.com/Netflix/vmaf

sudo apk add libvmaf
  • License: BSD-2-Clause-Patent
  • Architecture: x86_64
  • Source Package: libvmaf
  • 1 dependencies
  • 1 provides
  • normalized package name match
  • Matched by: Libvmaf
Alpine Linux edge package indexes · dl-cdn.alpinelinux.org · Alpine Linux edge package indexes: libvmaf from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz
apk95%

libvmaf-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-dev
  • License: BSD-2-Clause-Patent
  • Architecture: x86_64
  • Source Package: libvmaf
  • 1 dependencies
  • 1 provides
  • normalized package name match
  • Matched by: Libvmaf
Alpine Linux edge package indexes · dl-cdn.alpinelinux.org · Alpine Linux edge package indexes: libvmaf-dev from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz
dnf95%

libvmaf 3.1.0-1.fc45

Library for vmaf

https://github.com/netflix/vmaf

sudo dnf install libvmaf
  • License: BSD-2-Clause-Patent
  • Category: Unspecified
  • Architecture: x86_64
  • Source Package: vmaf
  • 5 dependencies
  • 4 provides
  • normalized package name match
  • Matched by: Libvmaf
Fedora Rawhide package metadata · dl.fedoraproject.org · Fedora Rawhide package metadata: libvmaf from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst
MacPorts95%

libvmaf

sudo port install libvmaf
  • normalized package name match
  • Matched by: Libvmaf
MacPorts ports tree · api.github.com · MacPorts ports tree: multimedia/libvmaf/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1
dnf92%

libvmaf-devel 3.1.0-1.fc45

Development files for vmaf

https://github.com/netflix/vmaf

sudo dnf install libvmaf-devel
  • License: BSD-2-Clause-Patent
  • Category: Unspecified
  • Architecture: x86_64
  • Source Package: vmaf
  • 3 dependencies
  • 4 provides
  • installed executable or alias match
  • Matched by: Vmaf
Fedora Rawhide package metadata · dl.fedoraproject.org · Fedora Rawhide package metadata: libvmaf-devel from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst
dnf92%

vmaf 3.1.0-1.fc45

Video Multi-Method Assessment Fusion

https://github.com/netflix/vmaf

sudo dnf install vmaf
  • License: BSD-2-Clause-Patent
  • Category: Unspecified
  • Architecture: x86_64
  • Source Package: vmaf
  • 4 dependencies
  • 1 provides
  • installed executable or alias match
  • Matched by: Vmaf
Fedora Rawhide package metadata · dl.fedoraproject.org · Fedora Rawhide package metadata: vmaf from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst
dnf92%

vmaf-models 3.1.0-1.fc45

Model files for vmaf

https://github.com/netflix/vmaf

sudo dnf install vmaf-models
  • License: BSD-2-Clause-Patent
  • Category: Unspecified
  • Architecture: noarch
  • Source Package: vmaf
  • 1 dependencies
  • 1 provides
  • installed executable or alias match
  • Matched by: Vmaf
Fedora Rawhide package metadata · dl.fedoraproject.org · Fedora Rawhide package metadata: vmaf-models from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst
pacman92%

vmaf 3.1.0-1

Perceptual video quality assessment algorithm based on multi-method fusion

https://github.com/Netflix/vmaf/

sudo pacman -S vmaf
  • License: BSD-2-Clause-Patent
  • Architecture: x86_64
  • 3 dependencies
  • installed executable or alias match
  • Matched by: Vmaf
Arch Linux sync databases · geo.mirror.pkgbuild.com · Arch Linux sync databases: vmaf from https://geo.mirror.pkgbuild.com/extra/os/x86_64/extra.db.tar.gz
zypper92%

libvmaf3 3.1.0-1.2

Perceptual video quality assessment algorithm

https://github.com/Netflix/vmaf

sudo zypper install libvmaf3
  • License: BSD-2-Clause-Patent AND BSD-3-Clause
  • Category: System/Libraries
  • Architecture: x86_64
  • Source Package: vmaf
  • 5 dependencies
  • 2 provides
  • installed executable or alias match
  • Matched by: Vmaf
openSUSE Tumbleweed package metadata · download.opensuse.org · openSUSE Tumbleweed package metadata: libvmaf3 from https://download.opensuse.org/tumbleweed/repo/oss/repodata/be8d3611d25469107f32075a1697e69ec57a2b850b42348a658cc671ad5ec2b50760d02c3e59524d50da9a11d5be799bdaffba2e166e8ca8858512e3c0bd665d-primary.xml.zst
zypper92%

libvmaf3-32bit 3.1.0-1.2

Perceptual video quality assessment algorithm

https://github.com/Netflix/vmaf

sudo zypper install libvmaf3-32bit
  • License: BSD-2-Clause-Patent AND BSD-3-Clause
  • Category: System/Libraries
  • Architecture: x86_64
  • Source Package: vmaf
  • 5 dependencies
  • 2 provides
  • installed executable or alias match
  • Matched by: Vmaf
openSUSE Tumbleweed package metadata · download.opensuse.org · openSUSE Tumbleweed package metadata: libvmaf3-32bit from https://download.opensuse.org/tumbleweed/repo/oss/repodata/be8d3611d25469107f32075a1697e69ec57a2b850b42348a658cc671ad5ec2b50760d02c3e59524d50da9a11d5be799bdaffba2e166e8ca8858512e3c0bd665d-primary.xml.zst
zypper92%

vmaf 3.1.0-1.2

Perceptual video quality assessment algorithm

https://github.com/Netflix/vmaf

sudo zypper install vmaf
  • License: BSD-2-Clause-Patent AND BSD-3-Clause
  • Category: Productivity/Multimedia/Video/Editors and Convertors
  • Architecture: x86_64
  • Source Package: vmaf
  • 4 dependencies
  • 3 provides
  • installed executable or alias match
  • Matched by: Vmaf
openSUSE Tumbleweed package metadata · download.opensuse.org · openSUSE Tumbleweed package metadata: vmaf from https://download.opensuse.org/tumbleweed/repo/oss/repodata/be8d3611d25469107f32075a1697e69ec57a2b850b42348a658cc671ad5ec2b50760d02c3e59524d50da9a11d5be799bdaffba2e166e8ca8858512e3c0bd665d-primary.xml.zst
zypper92%

vmaf-devel 3.1.0-1.2

Development tools for Video Multi-Method Assessment Fusion

https://github.com/Netflix/vmaf

sudo zypper install vmaf-devel
  • License: BSD-2-Clause-Patent AND BSD-3-Clause
  • Category: Development/Libraries/C and C++
  • Architecture: x86_64
  • Source Package: vmaf
  • 2 dependencies
  • 2 provides
  • installed executable or alias match
  • Matched by: Vmaf
openSUSE Tumbleweed package metadata · download.opensuse.org · openSUSE Tumbleweed package metadata: vmaf-devel from https://download.opensuse.org/tumbleweed/repo/oss/repodata/be8d3611d25469107f32075a1697e69ec57a2b850b42348a658cc671ad5ec2b50760d02c3e59524d50da9a11d5be799bdaffba2e166e8ca8858512e3c0bd665d-primary.xml.zst
Scoop92%

main/vmaf

scoop install main/vmaf
  • installed executable or alias match
  • Matched by: Vmaf
Scoop official bucket manifest trees · api.github.com · Scoop official bucket manifest trees: bucket/vmaf.json from https://api.github.com/repos/ScoopInstaller/Main/git/trees/master?recursive=1

source trail

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Used sources

  • Geiger risk classifier
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