Abstract: Deepnote is a new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud.
Long abstract version: Deepnote is a collaborative data science notebook. It's built on and fully compatible with the Jupyter ecosystem, but to address the key pain points of notebooks, we've introduced some significant changes. First, Deepnote is collaborative - it allows for real-time interactions, comments and is easily shareable (just like Google Docs). It is intuitive enough for non-technical users, yet powerful and flexible for data scientists. Second, the interface encourages best practices - writing clean code, defining dependencies, and building reproducible notebooks. Third, Deepnote seamlessly integrates with the rest of your data stack - other services, databases, ML platforms, and the Jupyter ecosystem. In this session, we will showcase what we're building at Deepnote and share plans for future iterations.