https://github.com/shruagarwal/streamlit_template

Replit template -- guide to learn and build Streamlit Apps. Also a part of #templatejam 2022
https://github.com/shruagarwal/streamlit_template

python3 replit

Last synced: 10 months ago
JSON representation

Replit template -- guide to learn and build Streamlit Apps. Also a part of #templatejam 2022

• Host: GitHub
• URL: https://github.com/shruagarwal/streamlit_template
• Owner: ShruAgarwal
• Created: 2022-06-05T10:58:11.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2022-09-17T15:45:30.000Z (almost 4 years ago)
• Last Synced: 2025-07-10T10:48:49.400Z (12 months ago)
• Topics: python3, replit
• Language: Python
• Homepage:
• Size: 745 KB
• Stars: 5
• Watchers: 2
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
 # Streamlit Beginner Template Tour 🎈

 

 [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/shruagarwal/streamlit_template/main)

 

👆 In the above App tour, you will learn about Streamlit basics & its awesome elements! 

 

 ### How to use this Template 👇

 

  

  



 - You can fork the repl and try the *Shell commands below* --

    - `$ pip install -r requirements.txt`

    - `$ streamlit run streamlit_app.py` 

    - After running the above commands, it will start the Streamlit App & you can parallelly follow the code alongside for understanding the tour with much ease!

 - The *#comments* in the code will help you navigate through it.

 - You can freely use this template to experiment with cool Streamlit elements!  

 - I have tried my best to make it look simple and easy to understand for everyone 🙂. I've learned so much while making this template, if you use it, please let me know!

 

📍 Some info about **Imports section** from `streamlit_app.py` file ▶

1. `streamlit` -- python library for building cool apps!

2. `pandas` -- creating dataframes (i.e., tables)

3. `numpy` -- generating random numerical data

4. `altair` -- visulalizing data from dataframes

5. `vega-datasets` -- data used for generating map with `altair`!

6. `PIL` -- to upload any type of image files

Hope you have fun learning with Streamlit! 😉