LIBSVM

LIBSVM and LIBLINEAR are two popular open source machine learning libraries, both developed at the National Taiwan University and both written in C++ though with a C API. LIBSVM implements the sequential minimal optimization (SMO) algorithm for kernelized support vector machines (SVMs), supporting classification and regression.^[1] LIBLINEAR implements linear SVMs and logistic regression models trained using a coordinate descent algorithm.^[2]

LIBSVM

Developer(s)	Chih-Chung Chang and Chih-Jen Lin
Stable release	3.3 / August 11, 2022; 2 years ago (2022-08-11)
Repository	github.com/cjlin1/libsvm
Written in	Java, C++
Operating system	Cross-platform
Type	Machine Learning
License	BSD
Website	www.csie.ntu.edu.tw/~cjlin/libsvm

The SVM learning code from both libraries is often reused in other open source machine learning toolkits, including GATE, KNIME, Orange^[3] and scikit-learn.^[4] Bindings and ports exist for programming languages such as Java, MATLAB, R, Julia, and Python. It is available in e1071 library in R and scikit-learn in Python.

Both libraries are free software released under the 3-clause BSD license.^[5][6]