21:I[4606,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 23:I[1895,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 22:T531,

What is Mito?

Mito is a Python data science tool that allows users to edit data in a spreadsheet interface and automatically generate corresponding Python code. It integrates with Jupyter, Streamlit, and Dash, enabling users to automate Excel reports and upgrade Python scripts to interactive dashboards. Mito offers features like AI chat, spreadsheet editing with formulas and pivot tables, smart debugging, and code completions.

How to use Mito?

Install Mito using pip, then use it as a Jupyter extension or Streamlit component. Edit data in the spreadsheet, and the Python code is automatically generated.

Mito's Core Features

Spreadsheet data editing

Automatic Python code generation

AI Chat integration

Smart debugging

Code completion

Mito's Use Cases

#1 Automating spreadsheet tasks

#2 Upgrading Python scripts to interactive dashboards

#3 Data quality verification

#4 Basic spreadsheet demos

#5 Bank performance comparison

#6 Data exploration

Mito

📋Introduction

User Rating