# gibbslda mit Homebrew, MacPorts installieren Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für gibbslda in AI-Agent-Workflows. ## Installation ```sh sudo av install brew:gibbslda ``` Weitere Installationsbefehle: ### macOS - Homebrew (100%): ```sh brew install gibbslda ``` Evidenz: local Homebrew formula metadata - MacPorts (94%): ```sh sudo port install gibbslda ``` Evidenz: MacPorts ports tree: math/gibbslda/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1 ## Paketfakten - **Paketschlüssel:** brew:gibbslda - **Paketmanager:** Homebrew - **Paketmanager-Seite:** - **Version:** 0.2 - **Quellzusammenfassung:** Library wrapping imlib2's context API - **Homepage:** - **Upstream-Dokumentation:** - **Lizenz:** GPL-2.0-or-later - **Quellarchiv:** - **Generiert:** 2026-08-04T22:13:35+00:00 ## Executables - lda (cli) - lda (Alias) ## Installationsverhalten - Post-install-Hook: nicht definiert - Bottle: verfügbar auf arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, catalina, monterey, sonoma, ventura ## Version und Aktualität - Seite generiert: 2026-08-04 - Manager-Version: 0.2 - lokale Daten: 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. ## Projektgeschichte und Nutzung 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. ### Projektgeschichte 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. ### Adoptionsgeschichte 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. ### Wie es verwendet wird 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. ### Warum Paket-Nerds sich dafür interessieren 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. ### Zeitleiste - 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. ### Quellen - - - - source_facts.package-manager ## Sicherheitshinweise library-like package without higher-risk signals. - **Geiger-Risiko:** grün / niedrig - library-like package without higher-risk signals ## Details aus der Quelldatenbank - **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 ## Andere Paketmanager-Einträge - 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 ## Verwandte Links - [Terminal utility packages](https://pkg.so/de/terminal-utilities/) - Matched terminal and command-line workflow metadata. - [Networking and protocol packages](https://pkg.so/de/networking-protocol-tools/) - Matched network, protocol, or remote-service metadata. - [Scientific computing packages](https://pkg.so/de/scientific-computing-tools/) - Matched scientific computing metadata. - [Homebrew utility packages](https://pkg.so/de/brew-utility-packages/) - Matched Homebrew package provider. - [liblinear](https://pkg.so/de/brew/liblinear/) - Shares pkgdb curated category or tags: cli, machine-learning, science. - [geos](https://pkg.so/de/brew/geos/) - Shares pkgdb curated category or tags: c-plus-plus, cli, science. - [sfcgal](https://pkg.so/de/brew/sfcgal/) - Shares pkgdb curated category or tags: c-plus-plus, cli, science. - [flann](https://pkg.so/de/brew/flann/) - Shares pkgdb curated category or tags: cli, machine-learning, science. - [root](https://pkg.so/de/brew/root/) - Shares pkgdb curated category or tags: c-plus-plus, cli, science. - [opencascade](https://pkg.so/de/brew/opencascade/) - Shares pkgdb curated category or tags: c-plus-plus, cli, science. - [clp](https://pkg.so/de/brew/clp/) - Shares pkgdb curated category or tags: c-plus-plus, cli, science. - [dcmtk](https://pkg.so/de/brew/dcmtk/) - Shares pkgdb curated category or tags: c-plus-plus, cli, science. - [bamtools](https://pkg.so/de/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) ## Quellen - 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