Automic VaultAutomic Vault

brew

ncnn mit Homebrew, dnf, Nix, pacman, zypper installieren

Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für ncnn in AI-Agent-Workflows.

Installation

Weitere Installationsbefehle

macOS

Homebrewverifiziert · 100%
brew install ncnn

local Homebrew formula metadata

Linux

Fedora dnfverifiziert · 92%
sudo dnf install ncnn

Fedora Rawhide package metadata · ncnn · Quelle: dl.fedoraproject.org

Nixverifiziert · 92%
nix profile install nixpkgs#ncnn

nixpkgs package indexes · pkgs/by-name/nc/ncnn/package.nix · Quelle: api.github.com

Arch Linux pacmanverifiziert · 92%
sudo pacman -S ncnn

Arch Linux sync databases · ncnn · Quelle: geo.mirror.pkgbuild.com

openSUSE zypperverifiziert · 92%
sudo zypper install ncnn

openSUSE Tumbleweed package metadata · ncnn · Quelle: download.opensuse.org

Überblick

Paketzusammenfassung

High-performance neural network inference framework

Befehle und Aliase

  • caffe2ncnn
  • darknet2ncnn
  • mxnet2ncnn
  • ncnn2int8
  • ncnn2mem
  • ncnn2table
  • ncnnmerge
  • ncnnoptimize

Verlauf

Projektgeschichte und Nutzung

ncnn is Tencent's open-source neural-network inference runtime for mobile, embedded, desktop, browser, and edge deployment. Its niche is small, dependency-light inference: the upstream README emphasizes no third-party runtime dependencies, CPU and Vulkan GPU backends, explicit low-memory allocator design, and conversion tools such as pnnx for PyTorch and ONNX workflows.

Projektgeschichte

Tencent presentations describe the ncnn project as dating from 2017, with open collaboration and Vulkan acceleration as central design points. That timing put it in the wave of mobile inference runtimes that appeared after deep-learning deployment moved from server GPUs into phones and edge devices.

Adoptionsgeschichte

Upstream states that ncnn is used in Tencent applications including QQ, Qzone, WeChat, and Pitu. Outside Tencent, its adoption pattern is typical for low-level ML infrastructure: package-manager availability, examples for object detection and vision models, and use by developers who want a C++ runtime without TensorFlow Lite or ONNX Runtime-sized baggage.

Wie es verwendet wird

Package users usually install ncnn for the converter and optimizer executables as much as for the library. A common flow is export from PyTorch through pnnx, produce .param and .bin model files, run optimization or int8 tooling, and embed the resulting model in a C++ or mobile application using ncnn::Net.

Warum Paket-Nerds sich dafür interessieren

For package maintainers, ncnn is interesting because it is a fast-moving C++/Vulkan project that exposes both libraries and many small CLI tools. It is also a useful example of a Homebrew formula where the command-line surface is mostly build/deployment tooling around a library rather than one end-user command.

Zeitleiste

  • 2017: Tencent presentation material describes ncnn as active since 2017.
  • 2020s: README documents pnnx-based PyTorch/ONNX conversion and CPU/Vulkan deployment across mobile, desktop, browser, and edge targets.

Related projects

  • PyTorch, ONNX, pnnx, Vulkan, TensorFlow, Caffe, MXNet, Darknet

Sicherheitslage

Risikostufe: blue

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

Risikoklassifikator

blue Risiko · mittel Konfidenz · tool

Warum

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

Signale

  • text:network

Installationsverhalten

  • In den Formelmetadaten ist kein Homebrew-Post-install-Hook erfasst.
  • Homebrew-Bottle-Metadaten sind für 6 Plattformziele verfügbar.
  • Installiert mit 6 Laufzeitabhängigkeiten.
  • Build-Metadaten listen 1 Build-Abhängigkeiten.

Empfohlene Prüfung

Prüfe vor unbeaufsichtigter Agent-Nutzung, ob das Tool Klartext-Credentials liest, Remote-Zustand schreibt, Artefakte veröffentlicht oder Plugins ausführt.

Executables

Installierte Executables

BefehlArtSichtbarkeitHinweis
caffe2ncnncliglobales Executable
darknet2ncnncliglobales Executable
mxnet2ncnncliglobales Executable
ncnn2int8cliglobales Executable
ncnn2memcliglobales Executable
ncnn2tablecliglobales Executable
ncnnmergecliglobales Executable
ncnnoptimizecliglobales Executable

Aktualität

Version und Aktualität

Diese Signale trennen das Alter der Seitengenerierung, Aktivität des Paketmanagers und Upstream-Release-Vergleich. Versionsrückstand wird nur gemeldet, wenn eine Evidenz-URL und vergleichbare Versionen vorhanden sind.

Seite generiert2026-07-25
Manager-Version20260526
Manager aktualisiert2026-06-25
lokale DatenOK
Upstreamnot checked
neueste erkannte Versionnicht erkannt

https://github.com/Tencent/ncnn

Installationsmetadaten

Paketmetadaten

Paketschlüsselbrew:ncnn
Version20260526
PaketmanagerHomebrew
Paketmanager-Seitehttps://formulae.brew.sh/formula/ncnn
Homepagehttps://github.com/Tencent/ncnn
Repositoryhttps://github.com/Tencent/ncnn
Upstream-Dokumentationhttps://github.com/Tencent/ncnn
LizenzBSD-3-Clause
Quellarchivhttps://github.com/Tencent/ncnn/archive/refs/tags/20260526.tar.gz
Zuletzt aktualisiert2026-06-25T13:37:56+02:00
Pulseupdated
Abhängigkeitenabseil, glslang, libomp, molten-vk, protobuf, spirv-tools
Build-Abhängigkeitencmake
Bottleverfügbar (auf arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-installnicht definiert
Dienstkeiner deklariert

Registry-Fakten

Details aus der Quelldatenbank

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namencnn
Version Scheme0
Revision1
Head VersionHEAD
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • stable

Source-Datenbank-Treffer

Andere Paketmanager-Einträge

Treffer stammen aus externen Paketmanager-Indizes und bleiben von lokalen Automic-Vault-Paketlinks getrennt.

Nix95%

ncnn

nix profile install nixpkgs#ncnn
  • normalized package name match
  • Abgeglichen nach: Ncnn
nixpkgs package indexes · api.github.com · nixpkgs package indexes: pkgs/by-name/nc/ncnn/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1
dnf95%

ncnn 20250916-3.fc45

A high-performance neural network inference framework

https://github.com/Tencent/ncnn

sudo dnf install ncnn
  • License: BSD-3-Clause AND BSD-2-Clause AND Zlib
  • Category: Unspecified
  • Architecture: i686
  • Source Package: ncnn
  • 9 Abhängigkeiten
  • 2 stellt bereit
  • normalized package name match
  • Abgeglichen nach: Ncnn
Fedora Rawhide package metadata · dl.fedoraproject.org · Fedora Rawhide package metadata: ncnn from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst
dnf95%

ncnn-devel 20250916-3.fc45

Development files for ncnn

https://github.com/Tencent/ncnn

sudo dnf install ncnn-devel
  • License: BSD-3-Clause AND BSD-2-Clause AND Zlib
  • Category: Unspecified
  • Architecture: i686
  • Source Package: ncnn
  • 13 Abhängigkeiten
  • 3 stellt bereit
  • normalized package name match
  • Abgeglichen nach: Ncnn
Fedora Rawhide package metadata · dl.fedoraproject.org · Fedora Rawhide package metadata: ncnn-devel from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst
pacman95%

ncnn 20260113-6

High-performance neural network inference framework optimized for the mobile platform

https://github.com/Tencent/ncnn

sudo pacman -S ncnn
  • License: BSD-3-Clause
  • Architecture: x86_64
  • 6 Abhängigkeiten
  • 1 optionale Abhängigkeiten
  • normalized package name match
  • Abgeglichen nach: Ncnn
Arch Linux sync databases · geo.mirror.pkgbuild.com · Arch Linux sync databases: ncnn from https://geo.mirror.pkgbuild.com/extra/os/x86_64/extra.db.tar.gz
zypper95%

libncnn1 20250916-1.8

NCNN library

https://github.com/Tencent/ncnn

sudo zypper install libncnn1
  • License: BSD-2-Clause AND BSD-3-Clause AND Zlib
  • Category: System/Libraries
  • Architecture: x86_64
  • Source Package: ncnn
  • 7 Abhängigkeiten
  • 2 stellt bereit
  • normalized package name match
  • Abgeglichen nach: Ncnn
openSUSE Tumbleweed package metadata · download.opensuse.org · openSUSE Tumbleweed package metadata: libncnn1 from https://download.opensuse.org/tumbleweed/repo/oss/repodata/be8d3611d25469107f32075a1697e69ec57a2b850b42348a658cc671ad5ec2b50760d02c3e59524d50da9a11d5be799bdaffba2e166e8ca8858512e3c0bd665d-primary.xml.zst
zypper95%

ncnn 20250916-1.8

A high-performance neural network inference framework

https://github.com/Tencent/ncnn

sudo zypper install ncnn
  • License: BSD-2-Clause AND BSD-3-Clause AND Zlib
  • Category: Development/Tools/Other
  • Architecture: x86_64
  • Source Package: ncnn
  • 7 Abhängigkeiten
  • 1 stellt bereit
  • normalized package name match
  • Abgeglichen nach: Ncnn
openSUSE Tumbleweed package metadata · download.opensuse.org · openSUSE Tumbleweed package metadata: ncnn from https://download.opensuse.org/tumbleweed/repo/oss/repodata/be8d3611d25469107f32075a1697e69ec57a2b850b42348a658cc671ad5ec2b50760d02c3e59524d50da9a11d5be799bdaffba2e166e8ca8858512e3c0bd665d-primary.xml.zst
zypper95%

ncnn-devel 20250916-1.8

Development tools for ncnn

https://github.com/Tencent/ncnn

sudo zypper install ncnn-devel
  • License: BSD-2-Clause AND BSD-3-Clause AND Zlib
  • Category: Development/Libraries/C and C++
  • Architecture: x86_64
  • Source Package: ncnn
  • 2 Abhängigkeiten
  • 3 stellt bereit
  • normalized package name match
  • Abgeglichen nach: Ncnn
openSUSE Tumbleweed package metadata · download.opensuse.org · openSUSE Tumbleweed package metadata: ncnn-devel from https://download.opensuse.org/tumbleweed/repo/oss/repodata/be8d3611d25469107f32075a1697e69ec57a2b850b42348a658cc671ad5ec2b50760d02c3e59524d50da9a11d5be799bdaffba2e166e8ca8858512e3c0bd665d-primary.xml.zst

Quellspur

Aus Repository-Daten generiert

Diese Seite wird von av-web aus dem privaten Paket-SQLite-Artefakt bereitgestellt, das scripts/generate-pkg-sqlite.py erstellt.

Verwendete Quellen

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment