# 使用 Homebrew, MacPorts 安装 gibbslda

查看 gibbslda 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

```sh
sudo av install brew:gibbslda
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install gibbslda
```

  证据: local Homebrew formula metadata

- MacPorts (94%):

```sh
sudo port install gibbslda
```

  证据: MacPorts ports tree: math/gibbslda/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1

## 软件包事实

- **软件包键:** brew:gibbslda
- **软件包管理器:** Homebrew
- **软件包管理器页面:** <https://formulae.brew.sh/formula/gibbslda>
- **版本:** 0.2
- **来源摘要:** Library wrapping imlib2's context API
- **主页:** <https://gibbslda.sourceforge.net/>
- **上游文档:** <https://gibbslda.sourceforge.net/>
- **许可证:** GPL-2.0-or-later
- **源码归档:** <https://downloads.sourceforge.net/project/gibbslda/GibbsLDA%2B%2B/0.2/GibbsLDA%2B%2B-0.2.tar.gz>
- **已生成:** 2026-08-04T22:13:35+00:00

## 可执行文件

- lda (cli)
- lda (别名)

## 安装行为

- post-install 钩子: 未定义
- Bottle: 可用 于 arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, catalina, monterey, sonoma, ventura

## 版本和新鲜度

- 页面生成时间: 2026-08-04
- 管理器版本: 0.2
- 本地数据: OK
- 上游仓库: https://gibbslda.sourceforge.net/
- 信息: No package-manager update timestamp was available.
- 信息: Release/tag comparison is only available for GitHub repositories.
## 项目历史与用法

GibbsLDA++ is a C/C++ implementation of Latent Dirichlet Allocation using Gibbs sampling for parameter estimation and inference. It belongs to the late-2000s generation of compact research toolkits for topic modeling.

### 项目历史

The official SourceForge project identifies GibbsLDA++ as a beta C/C++ Gibbs-sampling LDA implementation by pxhieu. The project was registered in July 2007, and its file area shows the manual, case-study material, and 0.2 source distribution published in July and August 2007.

### 采用历史

GibbsLDA++ was useful because LDA had become a common model for hidden topic structures while many researchers still wanted a small command-line implementation. The supplied package metadata shows it carried by Homebrew and MacPorts, reflecting a preservation-style package footprint for older scientific workflows.

### 使用方式

Practitioners use the `lda` executable to estimate LDA models and infer topic distributions from text corpora. The official project description emphasizes large-scale text data collections, Gibbs sampling, and console/terminal use.

### 为什么软件包爱好者会关心

For package maintainers, GibbsLDA++ is a small legacy scientific CLI whose main value is reproducibility. Keeping it packaged lets old scripts and papers continue to depend on a stable `lda` executable rather than a broad machine-learning framework.

### 时间线

- 2007: SourceForge project registered.
- 2007: Documents published on SourceForge.
- 2007: GibbsLDA++ 0.2 source and case-study files published.
- 2013: SourceForge project page records a later project update.

### Related projects

- GibbsLDA++ is related to JGibbLDA from the same topic-modeling lineage, LDA research implementations, and other C/C++, Java, Matlab, and Python topic-modeling packages.

### 来源

- <https://gibbslda.sourceforge.net/>
- <https://sourceforge.net/projects/gibbslda/>
- <https://sourceforge.net/projects/gibbslda/files/>
- source_facts.package-manager


## 安全说明

library-like package without higher-risk signals.

- **Geiger 风险:** 绿色 / 低
- library-like package without higher-risk signals

## 源数据库详情

- **Source Database:** Homebrew formula API
- **Tap:** homebrew/core
- **Full Name:** gibbslda
- **Version Scheme:** 0
- **Revision:** 0
- **Bottle Stable Root URL:** <https://ghcr.io/v2/homebrew/core>
- **Deprecated:** no
- **Disabled:** no
- **Keg Only:** no
- **URL Keys:** stable

## 其他软件包管理器记录

- MacPorts - gibbslda: normalized package name match | MacPorts ports tree: math/gibbslda/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1


## 相关链接

- [Terminal utility packages](https://pkg.so/zh-hans/terminal-utilities/) - Matched terminal and command-line workflow metadata.
- [Networking and protocol packages](https://pkg.so/zh-hans/networking-protocol-tools/) - Matched network, protocol, or remote-service metadata.
- [Scientific computing packages](https://pkg.so/zh-hans/scientific-computing-tools/) - Matched scientific computing metadata.
- [Homebrew utility packages](https://pkg.so/zh-hans/brew-utility-packages/) - Matched Homebrew package provider.
- [liblinear](https://pkg.so/zh-hans/brew/liblinear/) - Shares pkgdb curated category or tags: cli, machine-learning, science.
- [geos](https://pkg.so/zh-hans/brew/geos/) - Shares pkgdb curated category or tags: c-plus-plus, cli, science.
- [sfcgal](https://pkg.so/zh-hans/brew/sfcgal/) - Shares pkgdb curated category or tags: c-plus-plus, cli, science.
- [flann](https://pkg.so/zh-hans/brew/flann/) - Shares pkgdb curated category or tags: cli, machine-learning, science.
- [root](https://pkg.so/zh-hans/brew/root/) - Shares pkgdb curated category or tags: c-plus-plus, cli, science.
- [opencascade](https://pkg.so/zh-hans/brew/opencascade/) - Shares pkgdb curated category or tags: c-plus-plus, cli, science.
- [clp](https://pkg.so/zh-hans/brew/clp/) - Shares pkgdb curated category or tags: c-plus-plus, cli, science.
- [dcmtk](https://pkg.so/zh-hans/brew/dcmtk/) - Shares pkgdb curated category or tags: c-plus-plus, cli, science.
- [bamtools](https://pkg.so/zh-hans/brew/bamtools/) - Local package facts share a topical domain. Shared terms: api, c-plus-plus, cli, plus, science.

## Combined YAML source

View the package source record on GitHub. [combined/gibbslda.yml](https://github.com/mxcl/pkgdb/blob/main/combined/gibbslda.yml)


## 来源

- pkg.so package database
- Geiger risk classifier
- package-page enrichment
- curated package history
- package version freshness
- pkgdb category and tag curation
- package relationship graph
- external package-manager database matches
- cross-ecosystem install command graph