Model Hubs & Serving

GLMNet.jl

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.

Status
Generally available
Last checked
Checked · Oct 10, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

GLMNet.jl is a Julia package that provides an interface to the popular glmnet library, enabling users to fit Lasso and ElasticNet Generalized Linear Models (GLMs) efficiently. It's particularly useful for statistical modeling and machine learning tasks requiring regularization techniques.

GLMNet.jl stands out as an efficient and specialized tool for fitting Lasso and ElasticNet GLMs in Julia, offering high performance and integration with glmnet.

When it fits — and when it doesn’t

A good fit for

  • Researchers and data analysts who require high-performance statistical modeling with regularization techniques in Julia.

  • Machine learning practitioners working on projects where model interpretability is a priority.

Look elsewhere if

  • Projects that do not require GLM fitting or regularization techniques

  • Users looking for a full-featured machine learning framework with extensive pre-processing capabilities

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support

    GLMNet.jl is exclusively available in Julia, which can be a barrier for teams not already using or willing to adopt the Julia programming language.

  2. 02

    Complex setup and dependency management

    Julia's package ecosystem and dependency resolution can sometimes lead to complex setup processes, especially for users unfamiliar with Julia's package manager (Pkg).

  3. 03

    Smaller community and support base compared to Python alternatives

    The Julia community is smaller than that of Python, leading to fewer resources, tutorials, and community-driven solutions for issues encountered with GLMNet.jl.

What it does well

  • Efficient fitting of Lasso and ElasticNet GLM models

  • Integration with glmnet for high-performance statistical modeling

  • Supports a wide range of regression tasks

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up GLMNet.jl

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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