Skip to main content

A notebook interface for Streamlit.

Project description

Streamlit Notebook

streamlit_notebook is a reactive notebook interface for Streamlit.

Pretty much like a Jupyter notebook, you can create and run Code cells (supporting Streamlit commands) or Markdown cells. These cells will be executed dynamically and rendered under each cell box.

The main difference with a Jupyter notebook is that the notebook is reactive: Any UI event modifying the value of a variable gets immediately reflected in the python code and vice versa.

The execution flow follows the same logic as a Streamlit script, where each cell gets re-executed in order each time the UI triggers an event. Most notably, the python session gets reinitialized every new loop and all variables/objects that have not been saved in st.session_state will be lost at the end of the current run, and redefined in the next which is somewhat different from what one would expect in a persistent Python session.

This notebook is meant to be fully compatible with Streamlit and doesn't introduce any specific logic beyond standard Streamlit functionning. All Streamlit commands should work out of the box. If it's not the case, it should be reported as a bug.

I hope users already familiar with Streamlit will have great fun with this notebook.

Features

  • Switch to "App" mode by hiding code cells and notebook specific controls.
  • Create and delete cells easily, move cells up and down, control how they execute.
  • Create reactive Markdown cells by adding formatting tags <<my_expression>> that let you insert the current value of any global / state variable or evaluated expression into the text.
  • The whole notebook UI can be controled dynamically from code cells. You can refer to the notebook object as st.notebook from within the session.

Screenshot

Installation

pip install streamlit-notebook

Usage

You may open a new notebook from anywhere by just running st_notebook in the terminal.

You may as well create a python file like so :

# notebook.py
from streamlit_notebook import st_notebook

st_notebook()

and run it using streamlit run notebook.py from the terminal.

The st_notebook() function imported from the package is a complete app in itself rather than a single component, and only serves as an entry point.

The app is also available online here

Contribution

This App is still in early stage of development and any feedbacks / contributions are welcome!

I think it has a lot of potential and would benefit greatly from community engagement.

In case you want to give feedback or report a bug / suggest an improvement. Please open an new issue.

If you wish to contribute to this project, please follow these instructions:

  1. Fork the repository
  2. Create a branch for your feature (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

streamlit_notebook-0.0.1.tar.gz (45.4 kB view details)

Uploaded Source

Built Distribution

streamlit_notebook-0.0.1-py3-none-any.whl (44.0 kB view details)

Uploaded Python 3

File details

Details for the file streamlit_notebook-0.0.1.tar.gz.

File metadata

  • Download URL: streamlit_notebook-0.0.1.tar.gz
  • Upload date:
  • Size: 45.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for streamlit_notebook-0.0.1.tar.gz
Algorithm Hash digest
SHA256 2ccd70f0ffcf4dbd7ca909f533c67f795826d164eb7f5ed06c049316e245bf30
MD5 88b16324ca4c9d6009351547657b18ad
BLAKE2b-256 fb55f3facb2a3d9e8dd0ed5fae70056f0aec6348e4534b6947d80b628a14922c

See more details on using hashes here.

File details

Details for the file streamlit_notebook-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_notebook-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c04148090d87d1873f3e9401bf7a810a5a8ca4d379ab836e25da1cc1b675d044
MD5 9c3ffc93fa4dba8b435dc640fe1f6ca8
BLAKE2b-256 09f6107518dc6696080acfa7c6f27a407df619d9abd271d38e914e3b10b6d359

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page