probabl-ai/skore
A Python library that accelerates ML model development with automated evaluation, cross-validation analysis, and methodological guidance for data science workflows.
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Skore is an open-source Python library designed to streamline ML model development by providing automated evaluation reports and smart methodological guidance. It wraps around common data science tools like pandas, polars, and scikit-learn to reduce boilerplate code and guide users toward recommended practices. The library focuses on cross-validation analysis and helps maintain clear project structure throughout the ML development lifecycle.
Frequently asked
- What is probabl-ai/skore?
- A Python library that accelerates ML model development with automated evaluation, cross-validation analysis, and methodological guidance for data science workflows.
- Is skore open source?
- Yes — probabl-ai/skore is open source, released under the MIT license.
- What language is skore written in?
- probabl-ai/skore is primarily written in Python.
- How popular is skore?
- probabl-ai/skore has 649 stars on GitHub.
- Where can I find skore?
- probabl-ai/skore is on GitHub at https://github.com/probabl-ai/skore.