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brew / 排名 3264

安装 ncnn

查看 ncnn 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装命令安全说明

安装

使用 Automic Vault 安装

Automic Vault
下载 AV
sudo av install brew:ncnn

macOS

Homebrewverified · 100%
brew install ncnn

local Homebrew formula metadata

Linux

Fedora dnfverified · 92%
sudo dnf install ncnn

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

Nixverified · 92%
nix profile install nixpkgs#ncnn

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

Arch Linux pacmanverified · 92%
sudo pacman -S ncnn

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

openSUSE zypperverified · 92%
sudo zypper install libncnn1

openSUSE Tumbleweed package metadata · libncnn1 · source: download.opensuse.org

平台说明

  • 没有特定于此软件包的平台说明。

概览

软件包摘要

High-performance neural network inference framework

命令和别名

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

安全态势

风险级别：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:network

Install behavior

  • No Homebrew post-install hook is recorded in formula metadata.
  • Homebrew bottle metadata is available for 6 platform targets.
  • Installs with 6 runtime dependencies.
  • Build metadata lists 1 build dependencies.

建议审查

在无人值守的代理使用前，请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
caffe2ncnncliglobal executable
darknet2ncnncliglobal executable
mxnet2ncnncliglobal executable
ncnn2int8cliglobal executable
ncnn2memcliglobal executable
ncnn2tablecliglobal executable
ncnnmergecliglobal executable
ncnnoptimizecliglobal executable

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时，才会提示版本落后。

页面生成时间2026-06-10
管理器版本20260526
管理器更新时间2026-05-27
本地数据ok
上游not checked
检测到的最新版本not detected

https://github.com/Tencent/ncnn

安装元数据

软件包元数据

Package keybrew:ncnn
Version20260526
Package managerHomebrew
Package manager pagehttps://formulae.brew.sh/formula/ncnn
Homepagehttps://github.com/Tencent/ncnn
Repositoryhttps://github.com/Tencent/ncnn
Upstream docshttps://github.com/Tencent/ncnn
LicenseBSD-3-Clause
Source archivehttps://github.com/Tencent/ncnn/archive/refs/tags/20260526.tar.gz
Last updated2026-05-27T07:10:20Z
Pulseupdated
Dependenciesabseil, glslang, libomp, molten-vk, protobuf, spirv-tools
Build dependenciescmake
Bottleavailable (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 Namencnn
Version Scheme0
Revision0
Head VersionHEAD
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • 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%

ncnn

nix profile install nixpkgs#ncnn
  • normalized package name match
  • Matched by: 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 20250916-2.fc44

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
  • 10 dependencies
  • 2 provides
  • normalized package name match
  • Matched by: 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/13ee7b80cb813542594d4235c4a0b8695435d5ecf23dd3580bc7515ae1b6180d-primary.xml.zst
dnf95%

ncnn-devel 20250916-2.fc44

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
  • 12 dependencies
  • 3 provides
  • normalized package name match
  • Matched by: 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/13ee7b80cb813542594d4235c4a0b8695435d5ecf23dd3580bc7515ae1b6180d-primary.xml.zst
pacman95%

ncnn 20260113-5

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 dependencies
  • 1 optional deps
  • normalized package name match
  • Matched by: 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 20250916-1.7

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 dependencies
  • 2 provides
  • normalized package name match
  • Matched by: Ncnn
openSUSE Tumbleweed package metadata · download.opensuse.org · openSUSE Tumbleweed package metadata: libncnn1 from https://download.opensuse.org/tumbleweed/repo/oss/repodata/155b97171d05e27afd950b6fe0d55513ff38f4597110664535bceedc680bbe6fd459f0733718dcc21dcf0efc7c8250fd1390c73d4790b42e62fb2c16a87242e5-primary.xml.zst
zypper95%

ncnn 20250916-1.7

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 dependencies
  • 1 provides
  • normalized package name match
  • Matched by: Ncnn
openSUSE Tumbleweed package metadata · download.opensuse.org · openSUSE Tumbleweed package metadata: ncnn from https://download.opensuse.org/tumbleweed/repo/oss/repodata/155b97171d05e27afd950b6fe0d55513ff38f4597110664535bceedc680bbe6fd459f0733718dcc21dcf0efc7c8250fd1390c73d4790b42e62fb2c16a87242e5-primary.xml.zst
zypper95%

ncnn-devel 20250916-1.7

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 dependencies
  • 3 provides
  • normalized package name match
  • Matched by: Ncnn
openSUSE Tumbleweed package metadata · download.opensuse.org · openSUSE Tumbleweed package metadata: ncnn-devel from https://download.opensuse.org/tumbleweed/repo/oss/repodata/155b97171d05e27afd950b6fe0d55513ff38f4597110664535bceedc680bbe6fd459f0733718dcc21dcf0efc7c8250fd1390c73d4790b42e62fb2c16a87242e5-primary.xml.zst

软件包图谱

链接来自本地软件包关系图、补充数据、依赖边、生态匹配和软件包 hub 归属。

相关工具

  • protobufRuntime dependency declared by Homebrew.
  • spirv-toolsRuntime dependency declared by Homebrew.
  • molten-vkRuntime dependency declared by Homebrew.
  • glslangRuntime dependency declared by Homebrew.
  • cmakeBuild dependency declared by Homebrew.

相同工作流

  • djl-servingShares av.db curated category or tags: cli, data, inference, machine-learning.
  • lightgbmShares av.db curated category or tags: cli, data, machine-learning.
  • vowpal-wabbitShares av.db curated category or tags: cli, data, machine-learning.
  • malletShares av.db curated category or tags: cli, data, machine-learning.
  • classifierShares av.db curated category or tags: cli, data, machine-learning.
  • rgfShares av.db curated category or tags: cli, data, machine-learning.

来源线索

由仓库数据生成

此页面由 av-web 从 scripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

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