macOS
Homebrew已验证 · 100%
brew install libbilocal Homebrew formula metadata
安装
其他安装命令
概览
软件包摘要
Bayesian state-space modelling on parallel computer hardware
历史
项目历史与用法
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.
项目历史
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.
采用历史
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`.
使用方式
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.
为什么软件包爱好者会关心
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.
时间线
- 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.
来源
安全态势
风险级别：绿色
library-like package without higher-risk signals.
风险分类器
绿色 风险 · 低 置信度 · appliance
原因
- library-like package without higher-risk signals
信号
- metadata:library-like
安装行为
- 未记录 Homebrew bottle 元数据。
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 |
|---|---|---|---|
bi | 可执行文件 | 已索引可执行文件 | 从本地可执行文件索引发现。 |
libbi | 可执行文件 | 已索引可执行文件 | 从本地可执行文件索引发现。 |
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2026-08-03
管理器版本1.4.5
管理器更新时间
本地数据未知
上游不可用
检测到的最新版本未检测到
- OK没有生成新鲜度警告。
安装元数据
软件包元数据
| 软件包键 | brew:libbi |
|---|---|
| 版本 | 1.4.5 |
| 软件包管理器 | Homebrew |
| 主页 | https://libbi.org/ |
| 仓库 | https://github.com/lawmurray/LibBi |
| Bottle | 未记录 |
| 服务 | 未声明 |
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。
Combined YAML source
View the package source record on GitHub.
使用的来源
- Geiger risk classifier
- cross-ecosystem install command graph
- curated package history
- pkg.so package database
- pkgdb category and tag curation