Evaluating Skore for your team.
Pricing, deployment options (SaaS, private cloud, on-prem), security review, and a working demo on your data.
How can we better serve scikit learn ecosystem?
Tell us what your team is working on. A scikit-learn maintainer or a solutions engineer will reply within one business day, usually faster.
Open source first. pip install skore and you’re up. The form is for when you want a person on the line.
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Pricing, deployment options (SaaS, private cloud, on-prem), security review, and a working demo on your data.
Bug reports, regressions, onboarding questions. Open an issue on the skore repo, maintainers triage daily.
Roadmap conversations, sponsorship, scikit-learn Central, conference talks. We’re maintainers first.
For scikit-learn questions, the community channels are usually faster than email, that’s where the maintainers live.
One business day, usually faster. Sales and support tickets are triaged hourly during Paris hours; the open-source channels run 24/7.
Not if you’re an open-source user. Open a GitHub issue on github.com/probabl-ai/skore. Customers on the Team or Enterprise plan should email [email protected] for SLA-tracked tickets.
Yes. We share SOC 2 Type II, GDPR/DORA documentation, and our subprocessor list under NDA. Mention « security review » in the form and we’ll route you to the right person.
[email protected]. We respond to factual queries on scikit-learn maintainership, the company, and our open-source roadmap. We don’t do paid placements.
Skore is open source. pip install skore and you’re done. The form is for when you want a person.
Track your first experiment in 5 minutes. No sign-up required, no vendor lock-in. Open source, built on scikit-learn.