GLM.jl
Generalized linear models in Julia for statistical analysis.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is GLM.jl?
GLM.jl is a powerful library for fitting generalized linear models in the Julia programming language, enabling developers and data scientists to perform advanced statistical analyses with ease. It supports various model types and is essential for those working on projects requiring robust statistical modeling capabilities.
Key differentiator
“GLM.jl stands out by offering a high-performance solution for generalized linear models within the Julia ecosystem, providing efficient computation and seamless integration with other Julia packages.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
The official documentation lacks detailed explanations and practical examples, making it difficult for new users to understand how to use GLM.jl effectively.
GLM.jl has a relatively small user base compared to more popular statistical libraries in other languages, which can lead to fewer resources and slower issue resolution on forums or GitHub.
While GLM.jl leverages Julia's performance capabilities, it may still face challenges when processing very large datasets, leading to increased computational time and resource usage.
Fit analysis
Who is it for?
✓ Best for
Julia developers working on projects that require fitting and analyzing generalized linear models
Researchers needing to perform complex statistical analyses with high performance
✕ Not a fit for
Projects requiring real-time data processing or streaming analytics, as GLM.jl is primarily for batch analysis
Users who are not familiar with the Julia programming language and prefer more widely used languages like Python or R
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Integrations
Next step
Get Started with GLM.jl
Step-by-step setup guide with code examples and common gotchas.