# mito-ds/mito

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

Repository: https://github.com/mito-ds/mito
Canonical: https://ross.abutalabs.com/products/mito
Homepage: https://trymito.io
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Topics: data-science, python, data, data-visualization, data-analysis, jupyter, pandas, streamlit-component, ai, jupyterhub, jupyterlab, jupyterlab-extension
Last push: 2026-07-21T19:36:01+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 93, release rhythm 48, longevity 100
- inputs: {"age_days": 1686, "days_push": 43, "days_rel": 132, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2645, forks 206 (observed 2026-08-28T04:07:06.730899+00:00)

## What it is
Mito is a set of JupyterLab extensions that combine an AI chat copilot, smart debugging, and an interactive spreadsheet interface that generates production-ready Python/pandas code from spreadsheet edits. It also ships as a Streamlit/Dash component and includes an MCP server for AI integrations.

## Use cases
- edit data in a spreadsheet and get pandas code
- AI chat inside Jupyter that understands my notebook context
- automate Excel reports with Python without writing code
- add a spreadsheet component to a Streamlit dashboard
- debug notebook errors with AI assistance
- explore and pivot CSV data interactively in JupyterLab

## When to choose
- you work in JupyterLab or JupyterHub and want AI-assisted data analysis
- you prefer spreadsheet-style data manipulation but need reproducible Python code
- you want to embed an interactive spreadsheet in Streamlit or Dash apps
- you want to keep data on your own infrastructure with your own LLM API keys

## When to avoid
- you don't use Jupyter or Python-based data workflows
- you need a fully open-source tool with no commercial tier restrictions
- you want a standalone spreadsheet app rather than a notebook extension

## Facets
- artifact type: plugin
- maturity: active
- function: data-visualization, nlp, llm-inference, chatbot, developer-tools, gui
- domain: data-science, data-visualization, developer-tools, large-language-models
- platform: python, cross-platform
- tags: jupyterlab-extension, spreadsheet, pandas, streamlit, dash, ai-chat, code-generation, excel, notebook, mcp-server, automation, jupyter, desktop, web-server

## Member repositories
- mito-ds/mito (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:06.730899+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:18:59.898547+00:00, confidence not recorded.
  - readme: https://github.com/mito-ds/mito (fetched 2026-08-28T04:07:06.730899+00:00, sha 12a3f79471c4)
  - homepage: https://trymito.io (fetched 2026-08-29T10:01:54.855652+00:00, sha 6c644eab6d6a)
  - site_page: https://docs.trymito.io (fetched 2026-08-29T10:01:54.858622+00:00, sha 904f59ba913a)
  - site_page: https://docs.trymito.io/getting-started/installing-mito (fetched 2026-08-29T10:01:54.862291+00:00, sha a06e28fd49ab)
  - site_page: https://www.trymito.io/downloads (fetched 2026-08-29T10:01:54.860526+00:00, sha dfade664093e)
- Data as of 2026-08-30T08:39:29.467469+00:00.