Deepnote Open-Sources New Notebook Format for Modern Data Science Collaboration
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The bagel they save for the regulars. Don't skim, savour.
Summary
Deepnote, a collaborative data science platform, has open-sourced its notebook format after 7 years of development. The article explains the rationale behind this decision, arguing that existing notebook formats like Jupyter have limitations for modern data science workflows. The company believes notebooks need a new standard that better supports collaboration, reproducibility, and integration with modern data tools. The piece details the technical considerations and design decisions behind creating Deepnote's new notebook format, positioning it as an evolution beyond Jupyter for team-based data science work.
Key quotes
· 4 pulledYesterday, we open-sourced Deepnote, and the response was overwhelming: trending on Hacker News, a flood of stars on GitHub, and thousands of new contributors joining our community on LinkedIn.
We got strong feedback from the community to share more about the rationale for us open-sourcing Deepnote after 7 years of building it, so we're publishing a technical deep dive on what led us to this decision.
In 2011, IPython Notebook (later known as Jupyter) changed everything. It pioneered the notebook format for data science.
Explore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote.
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