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https://github.com/mito-ds/mito
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
https://github.com/mito-ds/mito
ai data data-analysis data-science data-visualization jupyter pandas python streamlit-component
Last synced: 1 day ago
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Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
- Host: GitHub
- URL: https://github.com/mito-ds/mito
- Owner: mito-ds
- License: other
- Created: 2022-01-20T17:13:19.000Z (about 3 years ago)
- Default Branch: dev
- Last Pushed: 2025-02-05T23:45:34.000Z (7 days ago)
- Last Synced: 2025-02-06T05:04:11.573Z (7 days ago)
- Topics: ai, data, data-analysis, data-science, data-visualization, jupyter, pandas, python, streamlit-component
- Language: Jupyter Notebook
- Homepage: https://trymito.io
- Size: 245 MB
- Stars: 2,344
- Watchers: 22
- Forks: 167
- Open Issues: 203
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome-starred - mito-ds/mito - The mitosheet package, trymito.io, and other public Mito code. (data-visualization)
README
Mito
Website • Documentation • Discord • Email
Jupyter extensions that make you work faster.
Mito is a set of Jupyter extensions desgined to help you write Python code faster. There are 3 main pieces of Mito.
1. [Mito AI](https://docs.trymito.io/mito-ai/data-copilot): Tools like context-aware AI Chat and error debugging to help you get the most from LLMs. No more copying and pasting between Jupyter and ChatGPT/Claude.
2. [Mito Spreadsheet](https://docs.trymito.io/how-to/importing-data-to-mito/importing-csv-files): 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
3. [Mito for Streamlit and Dash](https://docs.trymito.io/mito-for-streamlit/getting-started-with-mito-for-streamlit): Add a fully-featured spreadsheet to your dashboards in just two lines of code.
Mito is an open source tool (look around...), and will always be built by and for our community. See our [plans page](https://www.trymito.io/plans) for more detail about our features, and consider purchasing Mito Pro to help fund development.
Mito is an open source tool (look around...), and will always be built by and for our community. See our [plans page](https://www.trymito.io/plans) for more detail about our features, and consider purchasing Mito Pro to help fund development.
## ⚡️ Install Mito
To get started, open a terminal, command prompt, or Anaconda Prompt. Then, run the command
```
python -m pip install mito-ai mitosheet
```
Then launch Jupyter by running the command
```
jupyter lab
```
This will install Mito for JupyterLab 4.0. More detailed installation instructions can also be found [here](https://docs.trymito.io/getting-started/installing-mito).
## 📚 Documentation
You can find all [Mito documentation available here](https://docs.trymito.io).
## ✋🏾 Getting Help
To get support, join our [Discord](https://discord.com/invite/XdJSZyejJU), [Slack](https://join.slack.com/t/trymito/shared_invite/zt-1h6t163v7-xLPudO7pjQNKccXz7h7GSg), or send us an [email](mailto:[email protected])