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.
Your AI writes the code. Skore makes sure it holds up.
AI coding tools generate scikit-learn pipelines in seconds. Skore validates them detecting data leakage, picking the right metric per fold, and flagging silent errors before they reach production.
"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
Your personal ML assistant inside the notebook. Validates pipelines, selects the right metrics, detects data leakage, and suggests best practices, powered by scikit-learn's own methodology.
- Automated cross-validation reports
- Data leakage detection
- Smart metric selection
- Easy model comparison
Share it remotely
Your team's shared experiment library in the cloud. Store, compare, and annotate models together, one single source of truth that survives team changes and project pivots.
- Shared experiment library (browse, compare, pick)
- Auto-generated model cards & documentation
- Visual reports for non-technical stakeholders
- Team activity feed & comments
- Governance & compliance ready (EU AI Act)
Your AI writes the code. Skore makes sure it works.
AI coding tools generate pipelines in seconds. Skore adds the methodology layer — validation, comparison, and documentation — automatically.
Compare, share, decide, as a team
Your team's shared experiment library. Store, compare, and annotate models together — one source of truth that survives team changes.
Make your work speak business
Auto-generated model cards, visual reports, and compliance docs. From sklearn pipeline to stakeholder presentation in one click.
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.