https://github.com/niekdt/actionsheets-streamlit

A webapp featuring a large collection of detailed cheatsheets for Python and R. The name “actionsheets” comes from the way the sheets are structured: code snippets are indexed in terms of a desired action, and are grouped in sections.
https://github.com/niekdt/actionsheets-streamlit

cheatsheets python quick-reference r searchable stan streamlit webapp

Last synced: about 1 year ago
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A webapp featuring a large collection of detailed cheatsheets for Python and R. The name “actionsheets” comes from the way the sheets are structured: code snippets are indexed in terms of a desired action, and are grouped in sections.

• Host: GitHub
• URL: https://github.com/niekdt/actionsheets-streamlit
• Owner: niekdt
• License: mit
• Created: 2024-07-02T18:43:22.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-01-27T12:35:06.000Z (over 1 year ago)
• Last Synced: 2025-05-07T02:04:09.149Z (about 1 year ago)
• Topics: cheatsheets, python, quick-reference, r, searchable, stan, streamlit, webapp
• Language: Python
• Homepage: https://actionsheets.streamlit.app/
• Size: 426 KB
• Stars: 4
• Watchers: 1
• Forks: 2
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# actionsheets-streamlit

Streamlit front-end for the [actionsheets package](https://github.com/niekdt/actionsheets).

The app features a large collection of detailed cheatsheets for Python and R that I’ve created over the years. 

The name “actionsheets” comes from the way the sheets are structured: code snippets are indexed in terms of a desired action, and are grouped in sections.

What separates this app from typical cheatsheet websites is that the sheets are dynamically rendered from a data source. 

This enables search functions for sheets and snippets, and generating filtered sheets.

![afbeelding](https://github.com/user-attachments/assets/8999e0c0-f7d5-4c16-9f19-6768000f4ec4)

### Quick search for snippets

![afbeelding](https://github.com/user-attachments/assets/8e8fe91f-99a1-439e-9128-8e35559ee378)

## Usage

To start the dashboard locally, run:

```shell

streamlit run app.py

```

## Development

This project uses Poetry to manage dependencies. To install the dependencies, run:

```shell

poetry install

```

To update dependencies, run:

```shell

poetry update

```