This small repository aims to compare four python App/Dashboard libraries, Gradio, Streamlit, Taipy, and Reflex. I have create the same demo-dashboard with four different libraries, with minimal work on customized styling by myself. You can check the code and the screenshot to compare them.

The demo-dashboard is a UI for the data interaction, from /data directory. The general idea is we have a template with multiple inputs from users, and we want to render the template with user input and send the rendered text to a model for analysis.

For example, you can imagine an app that needs to send {GREETING}, {Name}! to a chatbot and get response back.

Example 1

• template: {GREETING}, {Name}!
• user input: GREETING=hello, Name=World
• rendered text: Hello, World!
• chatbot: Hello User!

Example 2

• template: {GREETING}, {Name}!
• user input: GREETING=Goodbye, Name=World
• rendered text: Goodbye, World!
• chatbot: Goodbye User!

You can chat the code (**/dashboard.py) and the screenshot to make your judgements. My comparison can be found in COMPARISON.md

gradio

make install-gradio
.venv/bin/python gradio_example/dashboard.py

then open http://127.0.0.1:7860

streamlit

make install-streamlit
.venv/bin/python -m streamlit run streamlit_example/dashboard.py
# alternatively 
# .venv/bin/streamlit run streamlit_example/dashboard.py

then open http://localhost:8501

taipy

make install-taipy
.venv/bin/python taipy_example/dashboard.py --port 8080

then open http://localhost:8080

reflex

make install-reflex
cd reflex_example
../.venv/bin/python -m reflex init
../.venv/bin/python -m reflex run

then open http://localhost:3000

Here is an overview of the screenshot.

Gradio

Streamlit

Taipy

Reflex