Mito is a spreadsheet that lives inside your JupyterLab notebooks. It allows you to edit Pandas dataframes like an Excel file, and generates Python code that corresponds to each of your edits.
Mito aims to be the first tool in your data science toolkit and supports:
- Point-and-click CSV and XLSX import
- Excel-style pivot tables
- Graph generation
- Filtering and sorting
- Merge (lookups)
- Excel-Style formulas
- Column summary statistics
- And much more!
Mito is an open source tool (look around...), and will always be built by and for our community. See our plans page for more detail about our features, and consider purchasing Mito Pro to help fund development.
To get started, follow the install instructions here.
If you're interested in Mito Pro, see our plans page.
You can find all Mito documentation available here.
To get support, join our Discord.
Docker Quick Start
This repo is the monorepo for the Mito project, and so contains the
mitosheet package, the
trymito.io website, and our documentation as well.
To see the code for the
mitosheet package, see the
To test the current version of
mitosheet that is deployed on Test PyPi, create an empty venv, and run the command
python3 -m pip install mitoinstaller python3 -m mitoinstaller install --test-pypi
Then, launch JLab to test the current version of the
mitosheet package on Test PyPi.
To see the
mitoinstaller package, see the
To see the code for our website, see the
Our docs are hosted on Gitbooks here. You can see and edit the docs in the
/docs folder, PRs greatly appreciated!