Deepnote is a collaborative data science notebook platform that’s gained traction among over 500,000 data professionals from companies like Estée Lauder and SoundCloud. It offers a streamlined experience for users transitioning from Jupyter notebooks. The platform leverages a new kernel that maintains compatibility with Jupyter while introducing features such as an AI agent, a more user-friendly interface, and various integrations for data sources. Developers can quickly convert their existing Jupyter notebooks into Deepnote projects using a simple command, making it easy to migrate. The new .deepnote file format replaces the old JSON structure with a YAML format that’s cleaner and more conducive to version control. Deepnote's architecture allows users to employ different block types, such as code cells and inputs, enhancing the notebook’s functionality beyond traditional coding. Features like automatic re-execution of dependent blocks ensure that notebooks remain consistent without manual intervention. Deepnote supports local work through various extensions for popular code editors like VS Code and JupyterLab, while also providing robust cloud options for team collaboration. Its built-in Git integration simplifies version control compared to Jupyter’s manual approach. The platform is open-source, allowing users to run Deepnote notebooks locally and even customize their AI capabilities. For educators and students, Deepnote Cloud is free, which opens up access to powerful data science tools for research and teaching.