# libvmaf mit Homebrew, apk, dnf, MacPorts, Nix, pacman, zypper, scoop installieren Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für libvmaf in AI-Agent-Workflows. ## Installation ```sh sudo av install brew:libvmaf ``` Weitere Installationsbefehle: ### macOS - Homebrew (100%): ```sh brew install libvmaf ``` Evidenz: local Homebrew formula metadata - MacPorts (94%): ```sh sudo port install libvmaf ``` Evidenz: MacPorts ports tree: multimedia/libvmaf/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1 ### Linux - apk (92%): ```sh sudo apk add libvmaf ``` Evidenz: Alpine Linux edge package indexes: libvmaf from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz - dnf (92%): ```sh sudo dnf install libvmaf ``` Evidenz: Fedora Rawhide package metadata: libvmaf from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/07190dc5ae9f35ae73866675fed6d95fe6e8d9fe22c9d7cdf85862cb2ed24a4c-primary.xml.zst - Nix (92%): ```sh nix profile install nixpkgs#libvmaf ``` Evidenz: nixpkgs package indexes: pkgs/by-name/li/libvmaf/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1 - pacman (92%): ```sh sudo pacman -S vmaf ``` Evidenz: Arch Linux sync databases: vmaf from https://geo.mirror.pkgbuild.com/extra/os/x86_64/extra.db.tar.gz - zypper (92%): ```sh sudo zypper install vmaf ``` Evidenz: openSUSE Tumbleweed package metadata: vmaf from https://download.opensuse.org/tumbleweed/repo/oss/repodata/50b07339cb64c8ed4091bdbabddadc1ff5737b090e478818a195b40d8a3292861a879139b4a3987c31109699fde9fbf4a716367ddf4eef77da75f96e3193d6ed-primary.xml.zst ### Windows - Scoop (92%): ```sh scoop install main/vmaf ``` Evidenz: Scoop official bucket manifest trees: bucket/vmaf.json from https://api.github.com/repos/ScoopInstaller/Main/git/trees/master?recursive=1 ## Paketfakten - **Paketschlüssel:** brew:libvmaf - **Paketmanager:** Homebrew - **Version:** 3.2.0 - **Quellzusammenfassung:** Perceptual video quality assessment based on multi-method fusion - **Homepage:** - **Repository:** - **Generiert:** 2026-08-03T19:37:03+00:00 ## Executables - vmaf (Alias) ## Installationsverhalten - Bottle: nicht verfügbar ## Version und Aktualität - Seite generiert: 2026-08-03 - Manager-Version: 3.2.0 ## Projektgeschichte und Nutzung 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. ### Projektgeschichte 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. ### Adoptionsgeschichte 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. ### Wie es verwendet wird 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. ### Warum Paket-Nerds sich dafür interessieren 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. ### Zeitleiste - 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. ### Quellen - - - - ## Sicherheitshinweise broad file, network, media, or database tool signal. - **Geiger-Risiko:** blue / mittel - broad file, network, media, or database tool signal ## Andere Paketmanager-Einträge - Nix - libvmaf: normalized package name match | nixpkgs package indexes: pkgs/by-name/li/libvmaf/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1 - apk - libvmaf - 3.0.0-r0: normalized package name match | Alpine Linux edge package indexes: libvmaf from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz | Perceptual video quality assessment based on multi-method fusion | https://github.com/Netflix/vmaf - apk - libvmaf-dev - 3.0.0-r0: normalized package name match | Alpine Linux edge package indexes: libvmaf-dev from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz | Perceptual video quality assessment based on multi-method fusion (development files) | https://github.com/Netflix/vmaf - dnf - libvmaf - 3.2.0-2.fc45: normalized package name match | Fedora Rawhide package metadata: libvmaf from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/07190dc5ae9f35ae73866675fed6d95fe6e8d9fe22c9d7cdf85862cb2ed24a4c-primary.xml.zst | Library for vmaf | https://github.com/netflix/vmaf - MacPorts - libvmaf: normalized package name match | MacPorts ports tree: multimedia/libvmaf/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1 - dnf - libvmaf-devel - 3.2.0-2.fc45: installed executable or alias match | Fedora Rawhide package metadata: libvmaf-devel from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/07190dc5ae9f35ae73866675fed6d95fe6e8d9fe22c9d7cdf85862cb2ed24a4c-primary.xml.zst | Development files for vmaf | https://github.com/netflix/vmaf - dnf - vmaf - 3.2.0-2.fc45: installed executable or alias match | Fedora Rawhide package metadata: vmaf from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/07190dc5ae9f35ae73866675fed6d95fe6e8d9fe22c9d7cdf85862cb2ed24a4c-primary.xml.zst | Video Multi-Method Assessment Fusion | https://github.com/netflix/vmaf - dnf - vmaf-models - 3.2.0-2.fc45: installed executable or alias match | Fedora Rawhide package metadata: vmaf-models from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/07190dc5ae9f35ae73866675fed6d95fe6e8d9fe22c9d7cdf85862cb2ed24a4c-primary.xml.zst | Model files for vmaf | https://github.com/netflix/vmaf - pacman - vmaf - 3.2.0-1: installed executable or alias match | Arch Linux sync databases: vmaf from https://geo.mirror.pkgbuild.com/extra/os/x86_64/extra.db.tar.gz | Perceptual video quality assessment algorithm based on multi-method fusion | https://github.com/Netflix/vmaf/ - zypper - libvmaf3 - 3.2.0-1.3: installed executable or alias match | openSUSE Tumbleweed package metadata: libvmaf3 from https://download.opensuse.org/tumbleweed/repo/oss/repodata/50b07339cb64c8ed4091bdbabddadc1ff5737b090e478818a195b40d8a3292861a879139b4a3987c31109699fde9fbf4a716367ddf4eef77da75f96e3193d6ed-primary.xml.zst | Perceptual video quality assessment algorithm | https://github.com/Netflix/vmaf - zypper - libvmaf3-32bit - 3.2.0-1.3: installed executable or alias match | openSUSE Tumbleweed package metadata: libvmaf3-32bit from https://download.opensuse.org/tumbleweed/repo/oss/repodata/50b07339cb64c8ed4091bdbabddadc1ff5737b090e478818a195b40d8a3292861a879139b4a3987c31109699fde9fbf4a716367ddf4eef77da75f96e3193d6ed-primary.xml.zst | Perceptual video quality assessment algorithm | https://github.com/Netflix/vmaf - zypper - vmaf - 3.2.0-1.3: installed executable or alias match | openSUSE Tumbleweed package metadata: vmaf from https://download.opensuse.org/tumbleweed/repo/oss/repodata/50b07339cb64c8ed4091bdbabddadc1ff5737b090e478818a195b40d8a3292861a879139b4a3987c31109699fde9fbf4a716367ddf4eef77da75f96e3193d6ed-primary.xml.zst | Perceptual video quality assessment algorithm | https://github.com/Netflix/vmaf - zypper - vmaf-devel - 3.2.0-1.3: installed executable or alias match | openSUSE Tumbleweed package metadata: vmaf-devel from https://download.opensuse.org/tumbleweed/repo/oss/repodata/50b07339cb64c8ed4091bdbabddadc1ff5737b090e478818a195b40d8a3292861a879139b4a3987c31109699fde9fbf4a716367ddf4eef77da75f96e3193d6ed-primary.xml.zst | Development tools for Video Multi-Method Assessment Fusion | https://github.com/Netflix/vmaf - Scoop - main/vmaf: installed executable or alias match | Scoop official bucket manifest trees: bucket/vmaf.json from https://api.github.com/repos/ScoopInstaller/Main/git/trees/master?recursive=1 ## Combined YAML source View the package source record on GitHub. [combined/libvmaf.yml](https://github.com/mxcl/pkgdb/blob/main/combined/libvmaf.yml) ## Quellen - pkg.so package database - Geiger risk classifier - curated package history - pkgdb category and tag curation - external package-manager database matches - cross-ecosystem install command graph