Mito - AI-powered Jupyter Notebook for Excel and database automation

What Is Mito

If you spend hours every week manually updating Excel reports, or if you've always wanted to learn Python but feel intimidated by coding, Mito might be exactly what you need. This enterprise-grade Jupyter Notebook extension transforms how data teams work with Python, making it accessible, faster, and more secure.

Mito is an AI-powered programming assistant that runs directly inside your Jupyter environment. Instead of writing code from scratch, you can work with data using a familiar Excel-style interface—complete with spreadsheets, formulas, and pivot tables. Every action you take automatically generates production-ready Python code. The result? You can write Python code four times faster while maintaining full control over your data.

What sets Mito apart is its commitment to data privacy. Your data never leaves your local environment. Whether you're working with sensitive financial records or proprietary research data, Mito operates entirely on-premises. You can even connect your own LLM (Large Language Model) for AI-powered features, ensuring that no external AI services access your confidential information.

The platform has earned the trust of Fortune 500 companies worldwide. Industry leaders including Accenture, Amazon, Cisco, Deloitte, Ericsson, KPMG, PwC, Wayfair, SAP, Cytiva, IBM, and Wells Fargo rely on Mito for their data workflows. This widespread adoption among enterprises with the most stringent data requirements speaks to both the platform's capability and its security.

Mito is developed by Saga, Inc., a company backed by Y Combinator, and its source code is available on GitHub. This means you can inspect the code, contribute to its development, and verify its security practices yourself.

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Mito's Core Features

Mito offers a comprehensive suite of features designed to streamline your data workflow. Here's how each feature can help you work more efficiently.

Jupyter Agent (AI Assistant)

The Jupyter Agent is Mito's AI-powered programming assistant that understands your data and automatically updates your notebook. Built on advanced LLM technology, it can query APIs, generate code, and assist with数据分析 tasks. Users consistently report achieving four times faster coding speed compared to traditional approaches. Whether you're performing exploratory data analysis or building automated pipelines, the Jupyter Agent handles the heavy lifting while you focus on insights.

Excel-like Spreadsheet

One of Mito's most popular features is the spreadsheet interface that works directly inside Jupyter. You can use familiar Excel operations—formulas, VLOOKUP, pivot tables, filtering, and charting—without leaving your notebook. The magic happens in the background: every edit you make automatically converts to production-grade Python code. This means you get the best of both worlds: the ease of spreadsheet interaction and the power of Python automation.

Chart Wizard

Creating visualizations shouldn't require memorizing matplotlib syntax. The Chart Wizard lets you generate professional plots through a point-and-click interface, then exports the underlying Python code so you can customize or reproduce it later. Built on Plotly, the charts are interactive and publication-ready.

Auto Error Correction

When your code breaks, Mito helps you fix it fast. The Auto Error Correction feature identifies issues and explains what went wrong, then provides a one-click fix. This dramatically reduces debugging time, especially for users still learning Python.

Database Connections

Mito connects directly to over 20 databases, including BigQuery, Snowflake, Redshift, PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, and Databricks. Run SQL queries directly from your notebook, visualize results instantly, and build repeatable analysis workflows on top of your enterprise data warehouse.

App Builder (Streamlit/Dash)

Want to share your analysis with the team? Mito's App Builder converts your notebook into a Streamlit or Dash application with just two lines of code. This enables rapid prototyping of data apps, dashboards, and interactive tools without requiring a separate development workflow.

Low-Code SQL

Not everyone on your team needs to be a SQL expert. The Low-Code SQL interface lets non-technical users query databases through a visual query builder. Select tables, choose columns, apply filters, and execute—all without writing complex queries.

Mito AI - Data Copilot

Mito AI acts as your data analysis partner, understanding both your data and your code. It provides context-aware chat assistance, helps debug errors, and accelerates exploratory data analysis, visualization, and feature engineering. The more you work with it, the better it understands your specific workflow.

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Who Uses Mito

Mito serves a diverse range of users, from individual analysts to large enterprise teams. Here are the most common scenarios where Mito delivers significant value.

Excel Report Automation

If you spend hours each week manually updating Excel reports, you're not alone. Many analysts face the tedious task of copying data, applying formulas, and generating the same reports week after week. With Mito, you complete the workflow once, and it generates a reusable Python script. Run it whenever you need fresh data—no more repetitive manual work. The automation eliminates human error and saves hours every week.

Python Learning and Training

Business professionals often want to leverage Python's capabilities but feel discouraged by the coding barrier. Mito's Excel-style interface lets you start programming immediately without memorizing syntax. As you work, you see the Python code being generated, which naturally teaches you Python fundamentals. Many teams use Mito as a training tool, helping non-technical staff become productive in Python four times faster.

Enterprise Data Analysis

Enterprise data often lives across multiple databases—customer data in Snowflake, financial records in Redshift, and operational metrics in PostgreSQL. Writing complex SQL queries to join these sources requires specialized skills. Mito provides a visual query interface that lets you connect to 20+ databases, explore schemas, and build queries without being a database expert. This unifies your data access and dramatically improves analytical efficiency.

Data Application Development

When you need to share insights with stakeholders who don't use Jupyter, building a dashboard usually requires a separate development effort. Mito's App Builder transforms your notebook into a Streamlit or Dash application in just two lines of code. Your analysis becomes an interactive tool that anyone on your team can access through a browser.

Financial Services Analytics

Financial institutions handle highly sensitive data subject to strict regulatory requirements. Mito addresses these concerns through its 100% local deployment option. Data never leaves your network, and you can integrate self-hosted LLMs for AI-powered features. This enables financial teams to improve productivity while maintaining full compliance with data protection regulations.

Life Science Research

Researchers in pharmaceuticals and biotechnology often process large volumes of experimental data. Rather than spending time on data manipulation, they need to focus on scientific insights. Mito automates data processing workflows, allowing researchers to concentrate on what they do best—science.

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Quick Start

Getting started with Mito takes just a few minutes. Follow these steps to begin your first AI-powered data workflow.

Installation

Mito installs via pip, Python's package manager. Open your terminal and run:

pip install mitoinstaller

Then launch the installer:

python -m mitoinstaller

This single command installs Mito and its dependencies, then automatically configures your Jupyter environment.

Supported Environments

Mito works with the most popular Jupyter platforms:

• JupyterLab (recommended for new projects)
• Jupyter Notebook (classic interface)
• JupyterHub (multi-user environments)
• Amazon SageMaker (cloud-based Jupyter)
• Streamlit (for embedded spreadsheet functionality)
• Dash (for building data applications)

As long as you have Python 3.8 or higher and a Jupyter environment, you're ready to go.

Your First Mito Spreadsheet

After installation, open Jupyter and create a new notebook. Mito automatically adds a spreadsheet interface to your notebook. Click on the spreadsheet to start working—you can import data, apply formulas, create pivot tables, and generate charts just like in Excel. Watch the Python code appear in cells below as you work. That's your automation script being built in real time.

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Mito Pricing

Mito offers three pricing tiers to match different needs, from individual users to large enterprises.

The Open Source version provides substantial functionality for learning and small projects. Pro removes usage limits and disables all telemetry for users with strict privacy requirements. Enterprise includes dedicated support, custom integrations, and the ability to run AI features entirely on your infrastructure.

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Frequently Asked Questions