Data App Performance Tests

My hypothesis is that

The different architectures of Dash, Panel and Streamlit makes a difference if you want to create snappy applications.

Framework Server Communication Protocol Built in state Update cycle
Dash Flask http No Specific code reruns and UI updates
Panel Tornado web sockets Yes, Automatic Specific code reruns and UI updates
Streamlit Tornado web sockets Yes, Manual Rerun script top to bottom with caching

I want to test that hypothesis and elaborate on it.

Test Setup

In order to fairly and reproducibly compare the frameworks I will pin requirements as much as possible and run in Docker.


You can build with

docker build -f "Dockerfile" -t dataappperformance:latest "."

and run interactively with

docker run --rm -it  -p 80:80 dataappperformance:latest

You can list all tests with

$ docker run --rm -it -p 80:80 dataappperformance:latest -c 'invoke --list'
Available tasks:


So to run for example the Panel slider-plot app you would run

docker run --rm -it -p 80:80 dataappperformance:latest -c 'invoke slider-plot.panel'

To run the page load test you would have to add port 8089 to the mix like

docker run --rm -it -p 80:80 -p 8089:8089 dataappperformance:latest -c 'invoke page-load.panel'

Test Results

Click the images to dive into the test and its results

Drag Slider with Plot Updating Performance Test

Only works for Panel

Slider with Plot Test.

Page Load and Refresh

Dash clear winner. Panel server shows blocking behaviour. Streamlit is very fast in theory but probably slowest in practice.

Page Load and Refresh Test.


View Github