ML.NET provides an open source, cross platform machine learning framework for .NET applications.
MLJ
The MLJ project provides machine learning tools and a framework for Julia.

About MLJ
MLJ (Machine Learning in Julia) is a toolbox written in Julia that provides a common interface and meta-algorithms for selecting, tuning, evaluating, composing and comparing over 200 machine learning models written in Julia and other languages. MLJ.jl is an umbrella package for components distributed across a number of other packages, so the framework itself is the interface layer rather than a single bundled library.
Key features
- Common interface across over 200 machine learning models
- Models sourced from Julia and other languages
- Meta-algorithms for selecting, tuning, evaluating and comparing models
- Meta-algorithms for composing models into workflows
- Umbrella package for components distributed in other packages
- Repository covers classification, clustering, regression, ensembles, stacking and pipelines
- Single interface spans more than 200 models from Julia and other languages
- Meta-algorithms support tuning, evaluating, composing and comparing models
- Documentation, workflow examples and contribution guidance are maintained in the repository
- Use requires the Julia language
- The package is an umbrella for components that live in separate packages
MLJ at a glance
- Category
- Development › Programming Languages
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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MLJ FAQ
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