Ship AI generated models that you can actually trust.
Built by the founders of scikit-learn, Skore is the pre-MLOps platform that helps data science teams to follow good practices, ensure reproducibility, and chose the best model for production.
Sound familiar?
You're not the only data team dealing with this.
AI-generated code, zero validation
Your AI coding assistant writes sklearn pipelines in seconds. But who checks for data leakage, wrong metrics, or silent overfitting?
”Can you explain this to the business?”
Great F1 score. Now explain what it means to someone who doesn’t speak Python. Model cards, reports, compliance docs — all manual, all painful.
When someone leaves, the knowledge leaves
No shared experiment library. No documentation. When your senior DS leaves, 18 months of context walks out the door.
Duplicate notebooks everywhere
“model_v3_final_FINAL_v2.ipynb” — Everyone runs their own version, nobody knows which model actually made it to production.
Vendor lock-in disguised as convenience
Cloud-only MLOps tools look great until you try to leave. Your models, your data, your experiments trapped behind a proprietary API.
2 months to onboard a new team member
Your new hire needs to reverse-engineer Jupyter notebooks, Slack threads, and tribal knowledge just to understand the pipeline.
Meet Skore.
The data science platform that brings structure, collaboration, and trust to your ML workflow, without leaving your notebook.
Start locally
Share it remotely
Your AI writes the code. Skore makes sure it works.
Compare, share, decide, as a team.
Make your work speak business.
90 seconds. Full workflow.
From pip install to team comparison, watch Skore in action.
Start free. Scale when you're ready.
No hidden fees. No credit card required. Upgrade only when your team needs it.
Stop shipping broken models. Start deciding together.
Track your first experiment in 5 minutes. No sign-up required, no vendor lock-in. Open source, built on scikit-learn.
