#307 · Primary category: AI Coding Assistants

mito

ai data data-analysis data-science data-visualization jupyter jupyterhub jupyterlab jupyterlab-extension pandas python streamlit-component

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

Project last updated:07/21/26

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Why we included this project

Anyone who spends their working day in Jupyter and would rather not hand-type every transformation as pandas code can do that work in a spreadsheet instead, and Mito writes the Python for each step. The generated code is production-ready, so it carries straight into the rest of the pipeline. A context-aware chat reads your notebook's current state, so you can ask for help with an error or with the next analysis step without pasting code into a separate AI tool. That combination is most useful to data scientists and analysts who are constantly moving between exploring a dataset and committing a working script.

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