
The Tabular AI company by the creators of scikit-learn
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 31 | Founded | 7 months ago | Last Issue | 9 days ago |
| Active | |||||

Based on a talk given at EuroSciPy 2026 in Kraków, Poland [1]. Metadata routing has been introduced gradually in experimental mode since scikit-learn 1.3; coverage is now almost complete, and the feature is mature enough that users can use...
This is the second post in our series of data deep dives into agentic data science trends.
In our first data deep dive, we found that downloads of core Python data science libraries have grown significantly faster since AI coding agents ar...
Data scientists are already adopting AI coding assistants and agents at certain stages of their workflows, especially for coding, but we’re not yet at a point where we can delegate end-to-end data science workflows or machine lear...
Probabl has signed the Open Weights and American AI Leadership open letter alongside Microsoft, Nvidia, Intel, IBM, Mistral, GitHub, Hugging Face, and over 270 other companies.
Together, we are standing up for the open AI ecosystem.
The l...
This is the first post in a series of data deep dives into trends in agentic data science. We start with a question that’s puzzling us, we share data-driven insights, and we end with new questions fo...
Subscribers, engagement, traffic and sponsorship for Probabl.
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The writers behind this newsletter.
Head of Ecosystem Development at :probabl. Data scientist and open source nerd.
Executive President & Chairman @Probabl
CEO @ Probabl - by the scikit-learn founders
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