The collaboration layer for scaling data science teams
Crafted with ❤️ by the scikit-learn company
And benefit from
Standardize workflows and best practices — without slowing experimentation.
Prioritize impactful experiments among dozens, and bring visibility across your team.
Don’t wait for the next meeting — your work is already framed for decision-making.
as a Python library — free and open-source.
I use skore in all my ML projects. It saves me a lot of time and improves code clarity by generating a detailed model report (metrics and plots) with a single line of code.
“Skore not only streamlined my workflow but also ensured I adhered to best practices in data treatment and model evaluation.”
"Quickly evaluate, inspect, and benchmark models with ease."
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