macOS
brew install libbilocal Homebrew formula metadata
brew
Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de libbi pour les workflows d'agents IA.
installation
brew install libbilocal Homebrew formula metadata
aperçu
Bayesian state-space modelling on parallel computer hardware
historique
LibBi is Lawrence M. Murray's package for Bayesian state-space modelling and inference on high-performance hardware. It combines a C++ template library with a Perl parser and compiler for a domain-specific modelling language.
LibBi was publicly announced on 2013-06-07, alongside Murray's 2013 paper on Bayesian state-space modelling on high-performance hardware. The paper presents LibBi as software that parses a model language, optimizes it, generates C++ code, compiles it, and runs inference methods on CPU, GPU, and distributed-memory platforms.
The project site frames LibBi around sequential Monte Carlo methods, including particle filtering, PMCMC, SMC^2, the extended Kalman filter, and parameter optimization routines. Its design reflects a scientific-computing period when CUDA, OpenMP, MPI, NetCDF, and HDF5 were expected to be stitched together by domain-specific tooling.
LibBi found a niche in statistical and scientific modelling rather than general-purpose application development. The project site records an RBi package announcement on 2016-10-19 for using LibBi from R, and a 2016-11-14 post announcing Homebrew and Linuxbrew installation for `libbi`.
Users write state-space models in LibBi's modelling language, then run the `libbi` or `bi` tools to perform inference and process NetCDF/HDF5-backed input and output. The package is aimed at researchers who want particle methods and hardware parallelism without hand-writing the full generated C++ implementation.
LibBi is a good example of a package-manager formula preserving a research software stack: C++, Perl, CUDA-era assumptions, NetCDF/HDF5-style data, and a custom DSL all bundled as a command-line tool. It is niche, but interesting because the package is the executable surface of an academic modelling system.
posture de sécurité
library-like package without higher-risk signals.
risque vert · confiance faible · appliance
Avant une utilisation sans surveillance par un agent, vérifiez si l'outil lit des identifiants en clair, écrit un état distant, publie des artefacts ou lance des plugins.
exécutables
| Commande | Type | Exposition | Note |
|---|---|---|---|
bi | cli | exécutable global | |
libbi | cli | exécutable global |
fraîcheur
Ces signaux séparent l'âge de génération de la page, l'activité du gestionnaire de paquets et la comparaison avec les versions amont. Un retard de version n'est signalé que lorsqu'une URL de preuve et des versions comparables sont présentes.
https://github.com/lawmurray/LibBi
métadonnées d'installation
| Clé du paquet | brew:libbi |
|---|---|
| Version | 1.4.5 |
| Gestionnaire de paquets | Homebrew |
| Page du gestionnaire de paquets | https://formulae.brew.sh/formula/libbi |
| Page d'accueil | https://libbi.org/ |
| Dépôt | https://github.com/lawmurray/LibBi |
| Docs amont | https://libbi.org/docs/LibBi-Manual.pdf |
| Licence | GPL-2.0-only |
| Archive source | https://github.com/lawmurray/LibBi/archive/refs/tags/1.4.5.tar.gz |
| Dernière mise à jour | 2026-05-28T17:57:59+02:00 |
| Pulse | updated |
| Dépendances | automake, boost, gsl, netcdf, qrupdate |
| Bibliothèques fournies par macOS | perl |
| Bouteille | disponible (sur arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| post-install Homebrew | non défini |
| Service | aucun déclaré |
faits du registre
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | libbi |
| Version Scheme | 0 |
| Revision | 6 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
piste source
Cette page est servie par av-web depuis l'artéfact SQLite privé des paquets généré par scripts/generate-pkg-sqlite.py.
View the package source record on GitHub.