Evaluating Skore for your team.
Pricing, deployment options (SaaS, private cloud, on-prem), security review, and a working demo on your data.
Talk to a human at probabl
Let’s talk.
Let’s talk.
Briefly. Precisely.
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.
All systems operational · Paris office, 09:00–18:00 CET
Form_01 · Contact
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Three ways in
Pick the lane that fits.
Already on Skore. Need help.
Bug reports, regressions, onboarding questions. Open an issue on the skore repo, maintainers triage daily.
scikit-learn maintainers, contributors, the community.
Roadmap conversations, sponsorship, scikit-learn Central, conference talks. We’re maintainers first.
Where we are
Headquartered in Paris.
France · HQ Europe & North America
Headquartered in Paris.
Distributed everywhere else.
Paris
46 rue de Provence 75009 Paris
48.875°N · 2.338°E Remote
The team is distributed. We work asynchronously.
Always-on GitHub github.com/probabl-ai Discord discord.gg/scikit-learn Bluesky @probabl.ai LinkedIn linkedin.com/company/probabl
For scikit-learn questions, the community channels are usually faster than email, that’s where the maintainers live.
FAQ
Before you write.
How fast will I hear back?
One business day, usually faster. Sales and support tickets are triaged hourly during Paris hours; the open-source channels run 24/7.
Do I need to fill out the form for support?
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 support@probabl.ai for SLA-tracked tickets.
Can I get a security & compliance review?
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.
I’m a journalist or analyst, who do I talk to?
press@probabl.ai. We respond to factual queries on scikit-learn maintainership, the company, and our open-source roadmap. We don’t do paid placements.
Or just try it
Three lines of code.
Three lines of code.
Zero sales call.
Skore is open source. pip install skore and you’re done. The form is for
when you want a person.
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.
