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brew install libbilocal Homebrew formula metadata
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Install libbi with Homebrew
Bayesian state-space modelling on parallel computer hardware. Version 1.4.5 via Homebrew; verified from local package data.
install
Additional install commands
overview
Package summary
Bayesian state-space modelling on parallel computer hardware
Project links
Commands and aliases
- bi
- libbi
history
Project history and usage
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.
Project history
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.
Adoption history
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`.
How it is used
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.
Why package nerds care
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.
Timeline
- 2013: Initial release of LibBi is announced on 2013-06-07.
- 2013: Introductory LibBi paper is listed by the project for citation.
- 2016: RBi interface for R is announced on 2016-10-19.
- 2016: Homebrew and Linuxbrew installation is announced on 2016-11-14.
- 2019: Project news lists LibBi 1.4.5 on 2019-07-08.
Related projects
- RBi, R, MATLAB, GNU Octave, Julia, CUDA, OpenMP, MPI, NetCDF, HDF5, and sequential Monte Carlo research code are the most relevant neighbors.
Sources
security posture
Risk level: green
library-like package without higher-risk signals.
Risk classifier
green risk · low confidence · appliance
Why
- library-like package without higher-risk signals
Signals
- metadata:library-like
Install behavior
- No Homebrew bottle metadata was recorded.
Recommended review
Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.
executables
Installed executables
| Command | Kind | Exposure | Note |
|---|---|---|---|
bi | executable | indexed executable | Discovered from the local executable index. |
libbi | executable | indexed executable | Discovered from the local executable index. |
freshness
Version and freshness
These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.
page generated2026-08-03
manager version1.4.5
manager updated
local dataunknown
upstreamnot available
latest detectednot detected
- okNo freshness warnings were generated.
install metadata
Package metadata
| Package key | brew:libbi |
|---|---|
| Version | 1.4.5 |
| Package manager | Homebrew |
| Homepage | https://libbi.org/ |
| Repository | https://github.com/lawmurray/LibBi |
| Bottle | not recorded |
| Service | none declared |
source trail
Generated from repository data
This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.
Combined YAML source
View the package source record on GitHub.
Used sources
- Geiger risk classifier
- cross-ecosystem install command graph
- curated package history
- pkg.so package database
- pkgdb category and tag curation