install

Additional install commands

macOS

Homebrewverified · 100%

brew install gibbslda

local Homebrew formula metadata

MacPortsverified · 94%

sudo port install gibbslda

MacPorts ports tree · math/gibbslda/Portfile · source: api.github.com

overview

Package summary

Library wrapping imlib2's context API

Project links

Commands and aliases

lda

history

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

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

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 post-install hook is recorded in formula metadata.
Homebrew bottle metadata is available for 13 platform targets.

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
`lda`	cli	global executable

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 generated2026-07-08

manager version0.2

manager updated

local dataok

upstreamnot checked

latest detectednot detected

https://gibbslda.sourceforge.net/

infoNo package-manager update timestamp was available.low confidence
infoRelease/tag comparison is only available for GitHub repositories.https://gibbslda.sourceforge.net/none confidence

install metadata

Package metadata

Package key	brew:gibbslda
Version	0.2
Package manager	Homebrew
Package manager page	https://formulae.brew.sh/formula/gibbslda
Homepage	https://gibbslda.sourceforge.net/
Upstream docs	https://gibbslda.sourceforge.net/
License	GPL-2.0-or-later
Source archive	https://downloads.sourceforge.net/project/gibbslda/GibbsLDA%2B%2B/0.2/GibbsLDA%2B%2B-0.2.tar.gz
Bottle	available (on arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, catalina, monterey, sonoma, ventura, x86_64_linux)
Homebrew post-install	not defined
Service	none declared

registry facts

Source database details

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

source database matches

Other package-manager records

Matches are pulled from external package-manager indexes and kept separate from local Automic Vault package links.

MacPorts95%

gibbslda

sudo port install gibbslda

normalized package name match
Matched by: Gibbslda

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

package graph

Links come from deterministic package relationships, av.db category and tag curation, ecosystem matches, and package hub membership.

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.

combined/gibbslda.yml

Used sources

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

Install gibbslda with Homebrew, MacPorts