GLM
github.com/JuliaStats/GLM.jlGLM.jl provides generalized linear models in Julia, with documentation and examples for the package.
Looking for something like GLMNet? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 12 are open source.
GLMNet.jl is a Julia wrapper for fitting Lasso and Elastic Net generalized linear models using glmnet.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | GLM | — | Not stated | — |
| 2 | liblinear-java | — | Yes | — |
| 3 | Text Analysis | — | Not stated | — |
| 4 | GaussianMixtures | — | Not stated | — |
| 5 | pytessarct | — | Yes | — |
| 6 | Jupytext | — | Yes | — |
| 7 | DataDeps | — | Not stated | — |
| 8 | Local Regression | — | Not stated | — |
| 9 | MultivariateStats | — | Not stated | — |
| 10 | Kernel Density | — | Not stated | — |
GLM.jl provides generalized linear models in Julia, with documentation and examples for the package.
liblinear-java provides a Java version of LIBLINEAR for linear classification and regression models.
TextAnalysis.jl is a Julia package for text and language data, with tools such as corpora, TF-IDF, and topic models.
GaussianMixtures.jl is a Julia package for working with Gaussian mixture models.
pytesseract is a Python wrapper for Google Tesseract that provides optical character recognition.
Jupytext lets users represent Jupyter notebooks as Markdown documents or Julia, Python, and R scripts.
DataDeps.jl provides reproducible data setup for scientific work, with a Julia package for fetching and using data dependencies.
Loess.jl is a Julia implementation of local regression using a fast kd-tree-based approximation.
MultivariateStats.jl provides Julia tools for multivariate statistics and data analysis, including dimension reduction.
KernelDensity.jl provides kernel density estimators for Julia, including univariate density estimation.
Distances.jl is a Julia package for calculating distance metrics between vectors, including pairwise and column-wise calculations.
DSP.jl provides Julia routines for digital signal processing, including filter design, periodograms, convolution, and window functions.
CluGen implements an algorithm for generating multidimensional clusters in Julia.
Julia-language backend combined with the Jupyter interactive environment.
DataFrames.jl provides in-memory tabular data structures and tools for working with data in Julia.
ReadStat.jl is a Julia package that parses data files from Stata, SAS, and SPSS into a ReadStatDataFrame.
HypothesisTests.jl is a Julia package that implements statistical hypothesis tests.
Neanderthal provides native matrix and linear algebra operations for Clojure.
Semantic Kernel helps integrate large language model technology into applications.
The repository collects server implementations for the Model Context Protocol.
dl-translate is a library for translating text between languages using transformer models.
A curated collection of servers implementing the Model Context Protocol.
The MCP Inspector provides a visual testing tool for Model Context Protocol servers.
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative