Mito

About Mito

Mito is an AI layer for Jupyter aimed at analysts who live in spreadsheets and are being pushed into Python. Its distinguishing move is the spreadsheet component: you manipulate a dataframe in a familiar grid — pivot tables, filtering and sorting, merges and lookups, Excel-style formulas, deduplication, conditional formatting, graph generation — and Mito writes the equivalent Python into the notebook cell as you go. That inverts the usual learning curve, because the analyst gets a working script as a byproduct of doing the analysis rather than having to write one first. On top of that sit AI chat, an agent and autocomplete that understand notebook file formats, cell context and kernel state rather than treating the notebook as flat text. The deployment story is the reason it shows up inside banks, private equity firms and life sciences companies: Mito runs entirely on your own infrastructure, inside your existing JupyterLab, JupyterHub or other notebook environment, and enterprises send no data to Mito at all, bringing their own API keys for Azure, AWS, LiteLLM or another provider. It also embeds in Streamlit and Dash for building internal data apps, and supports CSV, XLSX and dataframe import, remote file import and database import. The open-source tier is a real product with 150 AI completions a month, not a trial, and the paid tier is priced per practitioner rather than per organisation.

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