Data Copilot
Make your Python environment intelligent.
Last updated
Make your Python environment intelligent.
Last updated
© Mito
Start by creating a virtual environment, then run:
If you do not want the mitosheet (interactive Dataframe) included
Then, follow these instructions to create a mitosheet and use AI.
Check that you have Python 3.8 or above, and Python 3.12 or below by opening a terminal and running python --version
By installing Mito, you are agreeing to Mito's Terms of Service and Privacy Policy.
In addition, by using Mito's AI features, you are agreeing to our AI data usage policy.
Chat is like collaborating with a colleague who sees your code, knows your data, and is a Python expert. Its ChatGPT integrated directly into Jupyter. It knows the current code cell you are editing and the column headers of your data, so it can generate code that runs in your analysis without copying and pasting or editing variable names.
Autocomplete helps you work faster. There's no need to switch tabs or search through documentation—autocomplete completes your thoughts and seamlessly fills in your code.
One click error debugging allows you to send any error to the AI chat, where the Data Copilot will automatically return the code that solves the error. Just click the "Fix Error in AI Chat" button when it appears at the top of the error message.
Mito Spreadsheet: Explore your data in an interactive spreadsheet interface. Write spreadsheet formulas like VLOOKUP, apply filters, build pivot tables, and create graphs all in the spreadsheet. Every edit you make in the Mito spreadsheet is automatically converted to production-ready Python code