macOS
Homebrewverified · 100%
brew install liblinearlocal Homebrew formula metadata
MacPortsverified · 94%
sudo port install liblinearMacPorts ports tree · math/liblinear/Portfile · source: api.github.com
brew
Install liblinear with Homebrew, apt, dnf, MacPorts, Nix, apk, zypper
Library for large linear classification. Version 2.50 via Homebrew; verified 2026-06-19.
install
Additional install commands
Linux
Debian aptverified · 92%
sudo apt install liblinear-devDebian stable package indexes · liblinear-dev · source: deb.debian.org
Fedora dnfverified · 92%
sudo dnf install liblinearFedora Rawhide package metadata · liblinear · source: dl.fedoraproject.org
Nixverified · 92%
nix profile install nixpkgs#liblinearnixpkgs package indexes · pkgs/by-name/li/liblinear/package.nix · source: api.github.com
Alpine Linux apkverified · 92%
sudo apk add predictAlpine Linux edge package indexes · predict · source: dl-cdn.alpinelinux.org
openSUSE zypperverified · 92%
sudo zypper install predictopenSUSE Tumbleweed package metadata · predict · source: download.opensuse.org
overview
Package summary
Library for large linear classification
Project links
Commands and aliases
- predict
- train
history
Project history and usage
LIBLINEAR is a National Taiwan University machine-learning package for large-scale regularized linear classification, regression, and outlier detection. It pairs a C/C++ library with simple command-line tools such as train and predict, making linear SVM and logistic-regression models accessible from scripts and other software.
Project history
The LIBLINEAR paper was submitted to the Journal of Machine Learning Research in May 2008 and published in August 2008 by Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, and Chih-Jen Lin. The paper presents LIBLINEAR as an open source library for large-scale linear classification with easy command-line tools and library calls.
LIBLINEAR was designed as a sibling to LIBSVM for cases where a linear model is appropriate and kernel methods are too expensive. The README explicitly advises beginners with small data sets to consider LIBSVM first, while pointing to LIBLINEAR for large data where nonlinear mappings do not materially improve performance.
The public GitHub mirror was created on May 19, 2014, giving the project a familiar source-control home for packagers and downstream wrappers.
Adoption history
LIBLINEAR spread through both command-line use and embedding. Its stable file format, simple executables, MATLAB/OCTAVE interface, Python interface, and C API made it easy to package and wrap.
One visible downstream adoption path is scikit-learn, whose LogisticRegression documentation exposes a 'liblinear' solver for L1 and L2 regularization. That made the project familiar even to Python users who never invoke the original train and predict binaries.
How it is used
The canonical workflow is to build the package with make, train a model from sparse feature data using train, and apply the model with predict. The README describes the LIBSVM-style data format, included heart_scale example, solver selection, cross validation, and parameter search.
Why package nerds care
LIBLINEAR is package-nerd catnip because it is a small, fast C/C++ implementation of a heavily cited ML method with stable Unix-style tools. It is the kind of dependency that appears behind higher-level language bindings while still remaining useful as a direct CLI package.
Timeline
- 2008: LIBLINEAR paper submitted in May and published in JMLR in August.
- 2014: Public GitHub mirror created on May 19, 2014.
- 2022: NTU-hosted LIBLINEAR paper PDF marked last modified on March 5, 2022.
- 2025: GitHub repository metadata recorded push activity on December 29, 2025.
Related projects
- LIBSVM is the closest related project and the source of much of the package style, data-format familiarity, and user workflow.
- scikit-learn exposes LIBLINEAR as a solver option in LogisticRegression, carrying the implementation into the Python scientific ecosystem.
Sources
- https://api.github.com/repos/cjlin1/liblinear
- https://github.com/cjlin1/liblinear
- https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
- https://www.csie.ntu.edu.tw/~cjlin/liblinear/
- https://www.csie.ntu.edu.tw/~cjlin/papers/liblinear.pdf
- https://www.jmlr.org/papers/v9/fan08a.html
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 6 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 |
|---|---|---|---|
predict | cli | global executable | |
train | 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 version2.50
manager updated2026-06-19
local dataok
upstreamnot checked
latest detectednot detected
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
- infoRelease/tag comparison is only available for GitHub repositories.https://www.csie.ntu.edu.tw/~cjlin/liblinear/none confidence
install metadata
Package metadata
| Package key | brew:liblinear |
|---|---|
| Version | 2.50 |
| Package manager | Homebrew |
| Package manager page | https://formulae.brew.sh/formula/liblinear |
| Homepage | https://www.csie.ntu.edu.tw/~cjlin/liblinear/ |
| Repository | https://github.com/cjlin1/liblinear |
| Upstream docs | https://github.com/cjlin1/liblinear#readme |
| License | BSD-3-Clause |
| Source archive | https://www.csie.ntu.edu.tw/~cjlin/liblinear/oldfiles/liblinear-2.50.tar.gz |
| Last updated | 2026-06-19T12:32:37-07:00 |
| Pulse | updated |
| Bottle | available (on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, 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 | liblinear |
| Version Scheme | 0 |
| Revision | 0 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
source database matches
Other package-manager records
Matches are pulled from external package-manager indexes and kept separate from local Automic Vault package links.
Debian apt95%
liblinear-dev 2.3.0+dfsg-5+b2
Development libraries and header files for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear-dev- Section: libdevel
- Architecture: amd64
- Source Package: liblinear
- 3 dependencies
- normalized package name match
- Matched by: Liblinear
Debian apt95%
liblinear-tools 2.3.0+dfsg-5+b2
Standalone applications for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear-tools- Section: science
- Architecture: amd64
- Source Package: liblinear
- 2 dependencies
- 1 optional deps
- normalized package name match
- Matched by: Liblinear
Debian apt95%
liblinear4 2.3.0+dfsg-5+b2
Library for Large Linear Classification
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear4- Section: libs
- Architecture: amd64
- Source Package: liblinear
- 5 dependencies
- 2 optional deps
- normalized package name match
- Matched by: Liblinear
Debian apt95%
python3-liblinear 2.3.0+dfsg-5
Python 3 bindings for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install python3-liblinear- Section: python
- Architecture: all
- Source Package: liblinear
- 2 dependencies
- normalized package name match
- Matched by: Liblinear
Nix95%
liblinear
nix profile install nixpkgs#liblinear- normalized package name match
- Matched by: Liblinear
Ubuntu apt95%
liblinear-dev 2.3.0+dfsg-5build1
Development libraries and header files for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear-dev- Section: universe/libdevel
- Architecture: amd64
- Source Package: liblinear
- 3 dependencies
- normalized package name match
- Matched by: Liblinear
Ubuntu apt95%
liblinear-tools 2.3.0+dfsg-5build1
Standalone applications for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear-tools- Section: universe/science
- Architecture: amd64
- Source Package: liblinear
- 2 dependencies
- 1 optional deps
- normalized package name match
- Matched by: Liblinear
Ubuntu apt95%
liblinear4 2.3.0+dfsg-5build1
Library for Large Linear Classification
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install liblinear4- Section: universe/libs
- Architecture: amd64
- Source Package: liblinear
- 5 dependencies
- 2 optional deps
- normalized package name match
- Matched by: Liblinear
Ubuntu apt95%
python3-liblinear 2.3.0+dfsg-5build1
Python 3 bindings for LIBLINEAR
https://www.csie.ntu.edu.tw/~cjlin/liblinear/
sudo apt install python3-liblinear- Section: universe/python
- Architecture: all
- Source Package: liblinear
- 2 dependencies
- normalized package name match
- Matched by: Liblinear
dnf95%
liblinear 1.94-47.fc45
Library for Large Linear Classification
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install liblinear- License: LicenseRef-Callaway-BSD
- Category: Unspecified
- Architecture: i686
- Source Package: liblinear
- 6 dependencies
- 2 provides
- normalized package name match
- Matched by: Liblinear
dnf95%
liblinear-cli 1.94-47.fc45
CLI-tools for liblinear
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install liblinear-cli- License: LicenseRef-Callaway-BSD
- Category: Unspecified
- Architecture: x86_64
- Source Package: liblinear
- 7 dependencies
- 1 provides
- normalized package name match
- Matched by: Liblinear
dnf95%
liblinear-devel 1.94-47.fc45
Development files for liblinear
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install liblinear-devel- License: LicenseRef-Callaway-BSD
- Category: Unspecified
- Architecture: i686
- Source Package: liblinear
- 3 dependencies
- 2 provides
- normalized package name match
- Matched by: Liblinear
dnf95%
liblinear-doc 1.94-47.fc45
Documentation files for liblinear
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install liblinear-doc- License: LicenseRef-Callaway-BSD
- Category: Unspecified
- Architecture: noarch
- Source Package: liblinear
- 1 provides
- normalized package name match
- Matched by: Liblinear
dnf95%
python3-liblinear 1.94-47.fc45
Python3 bindings for liblinear
http://www.csie.ntu.edu.tw/~cjlin/liblinear
sudo dnf install python3-liblinear- License: LicenseRef-Callaway-BSD
- Category: Unspecified
- Architecture: x86_64
- Source Package: liblinear
- 2 dependencies
- 3 provides
- normalized package name match
- Matched by: Liblinear
MacPorts95%
liblinear
sudo port install liblinear- normalized package name match
- Matched by: Liblinear
apk92%
predict 2.3.1-r0
Multi-user satellite tracking and orbital prediction program
https://www.qsl.net/kd2bd/predict.html
sudo apk add predict- License: GPL-2.0-or-later
- Architecture: x86_64
- Source Package: predict
- 1 dependencies
- 1 provides
- installed executable or alias match
- Matched by: Predict
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.
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