# Install gibbslda with Homebrew, MacPorts Library wrapping imlib2's context API. Version 0.2 via Homebrew; verified from local package data. ## Install ```sh sudo av install brew:gibbslda ``` Additional install commands: ### macOS - Homebrew (100%): ```sh brew install gibbslda ``` Evidence: local Homebrew formula metadata - MacPorts (94%): ```sh sudo port install gibbslda ``` Evidence: MacPorts ports tree: math/gibbslda/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1 ## Package facts - **Package key:** brew:gibbslda - **Package manager:** Homebrew - **Package manager page:** - **Version:** 0.2 - **Source summary:** Library wrapping imlib2's context API - **Homepage:** - **Upstream docs:** - **License:** GPL-2.0-or-later - **Source archive:** - **Generated:** 2026-07-08T07:18:31+00:00 ## Executables - lda (cli) - lda (alias) ## Install behavior - Post-install hook: not defined - Bottle: available on arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, catalina, monterey, sonoma, ventura ## Freshness - Page generated: 2026-07-08 - Package-manager version: 0.2 - Local data: ok - Upstream repository: https://gibbslda.sourceforge.net/ - info: No package-manager update timestamp was available. - info: Release/tag comparison is only available for GitHub repositories. ## Project history and usage 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. ### Project history 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. ### Adoption history 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. ### How it is used 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. ### Why package nerds care 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. ### Timeline - 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. ### Sources - - - - source_facts.package-manager ## Security Notes library-like package without higher-risk signals. - **Geiger risk:** green / low - library-like package without higher-risk signals ## Source Database Details - **Source Database:** Homebrew formula API - **Tap:** homebrew/core - **Full Name:** gibbslda - **Version Scheme:** 0 - **Revision:** 0 - **Bottle Stable Root URL:** - **Deprecated:** no - **Disabled:** no - **Keg Only:** no - **URL Keys:** stable ## Other Package-Manager Records - 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 ## Related links - [Terminal utility packages](https://www.automicvault.com/pkg/terminal-utilities/) - Matched terminal and command-line workflow metadata. - [Networking and protocol packages](https://www.automicvault.com/pkg/networking-protocol-tools/) - Matched network, protocol, or remote-service metadata. - [Scientific computing packages](https://www.automicvault.com/pkg/scientific-computing-tools/) - Matched scientific computing metadata. - [Homebrew utility packages](https://www.automicvault.com/pkg/brew-utility-packages/) - Matched Homebrew package provider. - [grt](https://www.automicvault.com/pkg/brew/grt/) - Shares av.db curated category or tags: cli, machine-learning, science. - [liblinear](https://www.automicvault.com/pkg/brew/liblinear/) - Shares av.db curated category or tags: cli, machine-learning, science. - [mlpack](https://www.automicvault.com/pkg/brew/mlpack/) - Shares av.db curated category or tags: cli, machine-learning, science. - [tinysvm](https://www.automicvault.com/pkg/brew/tinysvm/) - Shares av.db curated category or tags: cli, machine-learning, science. - [opencv](https://www.automicvault.com/pkg/brew/opencv/) - Shares av.db curated category or tags: c-plus-plus, cli, machine-learning, science. - [openvino](https://www.automicvault.com/pkg/brew/openvino/) - Shares av.db curated category or tags: cli, machine-learning, science. - [biosig](https://www.automicvault.com/pkg/brew/biosig/) - Shares av.db curated category or tags: c-plus-plus, cli, science. - [ccfits](https://www.automicvault.com/pkg/brew/ccfits/) - Shares av.db curated category or tags: c-plus-plus, cli, science. ## Combined YAML source View the package source record on GitHub. [combined/gibbslda.yml](https://github.com/automic-vault/db/blob/main/combined/gibbslda.yml) ## Sources - Nucleus package database - Geiger risk classifier - package-page enrichment - curated package history - package version freshness - av.db category and tag curation - package relationship graph - external package-manager database matches - cross-ecosystem install command graph