A simple Streamlit app to test and learn Streamlit.

1. Install Poetry
2. Create a virtual environment using python3 -m venv venv
3. Activate the virtual environment using source venv/bin/activate
4. Install all project dependancies using poetry install
5. Run the project using streamlit run src/app.py

This repository includes 2 sets of example data which mirrors the output of the Github Copilot RESTful API. These have been sourced from this repository. The 2 datasets are:

• copilot_usage_data.json (from this endpoint)
• copilot_seats_data.json (from this enpoint)

These endpoints are both in beta (as of 21/05/24) and may change in the future.

Streamlit supports a range of different graphing libraries. Within the project I test different ones to decide which is best for my use case.

• Streamlit (native)
• Matplotlib
• Plotly

Matplotlib is the most basic and most powerful. However, it lacks any interactivity which is offered in Plotly (which is something I find very valuable).

After Testing, I decided to go with Plotly, due to it having the right balance between interactivity and simplicity while still being powerful enough to produce a range of charts.