macOS
brew install nestlocal Homebrew formula metadata
brew
nest のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。
インストール
brew install nestlocal Homebrew formula metadata
sudo dnf install nestFedora Rawhide package metadata · nest · ソース: dl.fedoraproject.org
nix profile install nixpkgs#nestnixpkgs package indexes · pkgs/by-name/ne/nest/package.nix · ソース: api.github.com
概要
Neural Simulation Tool (NEST) with Python3 bindings (PyNEST)
履歴
NEST is a long-running open source simulator for spiking neural-network models. Its niche is computational neuroscience models where the dynamics, scale, and connectivity of neuron populations matter more than detailed single-neuron morphology.
The NEST project traces its public history to a 1994 release under the name SYNOD and later became the NEural Simulation Tool. The project is coordinated by the NEST Initiative and distributed under GPL-2.0-or-later.
A major adoption shift was PyNEST: the 2008 PyNEST paper describes NEST as a C++ simulation kernel designed for large systems and explains why the project moved from its native SLI simulation language toward Python as the user-facing workflow.
NEST is used mainly in computational neuroscience, especially for large networks of point neurons, plasticity models, cortical-network examples, and reproducible simulator benchmarks. The project site describes a large developer community and support for systems ranging from laptops to clusters and supercomputers.
Homebrew analytics show a specialist but active macOS/Linux package audience: the formula listed 806 installs in the 365-day window visible on the formula page, all on request.
Package users normally install it to get the `nest` command and PyNEST bindings. In practice, researchers write Python scripts or notebooks that import `nest`, create neuron/device nodes, connect populations, run `nest.Simulate(...)`, and analyze spike or voltage traces with Python scientific tooling.
The package-nerd angle is that the Python bindings are tied to the Homebrew Python used by the formula; the formula notes that PyNEST is installed with the `python@3.14` dependency and points users at that interpreter path.
NEST is significant less as a general CLI and more as a packaged scientific runtime: it pulls together a C++ simulator, Python bindings, numerical dependencies, and examples into something reproducible enough for papers, workshops, and neuroscience teaching.
セキュリティ状態
broad file, network, media, or database tool signal.
リスク blue · 信頼度 中 · tool
エージェントに無人実行させる前に、このツールが平文の認証情報を読むか、リモート状態を書き込むか、成果物を公開するか、プラグインを起動するかを確認してください。
実行可能ファイル
| コマンド | 種類 | 公開範囲 | メモ |
|---|---|---|---|
nest | cli | グローバル実行可能ファイル | |
nest-config | cli | グローバル実行可能ファイル | |
nest-server | cli | グローバル実行可能ファイル | |
nest-server-mpi | cli | グローバル実行可能ファイル | |
nest_indirect | cli | グローバル実行可能ファイル | |
nest_serial | cli | グローバル実行可能ファイル | |
nest_vars.sh | cli | グローバル実行可能ファイル | |
sli | cli | グローバル実行可能ファイル |
鮮度
これらの信号は、ページ生成時期、パッケージマネージャの活動、上流リリース比較を分けて示します。バージョン遅れは、証拠 URL と比較可能なバージョンがある場合だけ警告されます。
https://github.com/nest/nest-simulator
インストールメタデータ
| パッケージキー | brew:nest |
|---|---|
| バージョン | 3.10 |
| パッケージマネージャ | Homebrew |
| パッケージマネージャページ | https://formulae.brew.sh/formula/nest |
| ホームページ | https://www.nest-simulator.org/ |
| リポジトリ | https://github.com/nest/nest-simulator |
| 上流ドキュメント | https://github.com/nest/nest-simulator#readme |
| ライセンス | GPL-2.0-or-later |
| ソースアーカイブ | https://github.com/nest/nest-simulator/archive/refs/tags/v3.10.tar.gz |
| 最終更新 | 2026-06-11T04:05:35Z |
| Pulse | updated |
| 依存関係 | gsl, libomp, libtool, numpy, python@3.14, readline |
| ビルド依存関係 | cmake, cython |
| macOS 提供ライブラリ | ncurses |
| Bottle | 利用可能 (対象 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | 未定義 |
| サービス | 宣言なし |
| 注意点 | The PyNEST bindings and its dependencies are installed with the python@3.14 formula. If you want to use PyNEST, use the Python interpreter from this path: $HOMEBREW_CELLAR/python@3.14/3.14.6/bin You may want to add this to your PATH. |
レジストリ情報
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | nest |
| Version Scheme | 0 |
| Revision | 0 |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
ソースデータベース一致
一致は外部パッケージマネージャインデックスから取得され、ローカルの Automic Vault パッケージリンクとは分けて表示されます。
nest
nix profile install nixpkgs#nestnest 3.8-11.fc45
The neural simulation tool
http://www.nest-simulator.org/
sudo dnf install nestnest-common 3.8-11.fc45
Common files for nest
http://www.nest-simulator.org/
sudo dnf install nest-commonnest-devel 3.8-11.fc45
Development files for nest
http://www.nest-simulator.org/
sudo dnf install nest-develnest-doc 3.8-11.fc45
Documentation for nest
http://www.nest-simulator.org/
sudo dnf install nest-docnest-mpich 3.8-11.fc45
nest built with mpich
http://www.nest-simulator.org/
sudo dnf install nest-mpichnest-mpich-common 3.8-11.fc45
Common files for nest built with mpich support
http://www.nest-simulator.org/
sudo dnf install nest-mpich-commonnest-mpich-devel 3.8-11.fc45
Header files for nest built with mpich support
http://www.nest-simulator.org/
sudo dnf install nest-mpich-develnest-openmpi 3.8-11.fc45
nest built with openmpi
http://www.nest-simulator.org/
sudo dnf install nest-openmpinest-openmpi-common 3.8-11.fc45
Common files for nest built with openmpi support
http://www.nest-simulator.org/
sudo dnf install nest-openmpi-commonnest-openmpi-devel 3.8-11.fc45
Development files for nest built with openmpi support
http://www.nest-simulator.org/
sudo dnf install nest-openmpi-develpython3-nest 3.8-11.fc45
Python3 bindings for nest
http://www.nest-simulator.org/
sudo dnf install python3-nestpython3-nest-mpich 3.8-11.fc45
Python3 bindings for nest with mpich support
http://www.nest-simulator.org/
sudo dnf install python3-nest-mpichpython3-nest-openmpi 3.8-11.fc45
Python3 bindings for nest with openmpi support
http://www.nest-simulator.org/
sudo dnf install python3-nest-openmpiソース経路
このページは scripts/generate-pkg-sqlite.py が生成した非公開のパッケージ SQLite アーティファクトから av-web によって提供されます。
View the package source record on GitHub.