bvobart/mllint

`mllint` is a command-line utility to evaluate the technical quality of Python Machine Learning (ML) projects by means of static analysis of the project's repository.

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/ 100
Emerging

This tool helps data scientists and ML engineers evaluate the technical quality of their Python Machine Learning projects. It takes your project's source code, data, and configuration as input, and provides a Markdown-formatted report detailing areas for improvement based on ML best practices. Anyone building or managing Python-based ML/AI projects can use this to ensure their work meets high standards.

No commits in the last 6 months. Available on PyPI.

Use this if you are a data scientist, ML engineer, or project manager looking to assess and improve the code quality and best practice adherence of a Python Machine Learning or AI project.

Not ideal if your project is not Python-based, or if you are looking for a tool that actively refactors or fixes code rather than providing a diagnostic report.

Machine Learning Engineering Data Science Project Management ML Project Quality Assurance AI Development Best Practices Python MLOps
Stale 6m No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 25 / 25
Community 8 / 25

How are scores calculated?

Stars

80

Forks

4

Language

Go

License

GPL-3.0

Last pushed

Jun 20, 2022

Commits (30d)

0

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