data-apps-demo

Data apps comparison for: Streamlit, Panel and Dash.

Introduction

This repository contains a comparative analysis of three popular Python frameworks for creating interactive web applications for data visualization and analysis: Streamlit, Panel, and Dash. We aim to explore the main differences and features of these frameworks to help you choose the one that best suits your needs.

Applications

Streamlit

Streamlit is a Python library designed for creating interactive web applications for data visualization and machine learning. It is served via Tornado.

Dash by Plotly

Dash is a Python framework that enables the creation of interactive web applications for data visualization and analytics. It is built on top of Flask and Plotly.

Panel by HoloViz

Panel is a Python library within the HoloViz ecosystem, used for creating interactive web applications for data visualization, analysis, and modeling. Panel is built on top of Bokeh and is served via Tornado.

Blog Post

We have also written a detailed blog post that describes these technologies and provides insights into their strengths and use cases. You can read the blog post on our blog.

Screenshots

Below are screenshots of each of the three applications for a quick overview:

Streamlit

Dash by Plotly

Panel by HoloViz

Pre-Requirements

• docker
• docker-compose

How to Run Applications

• Create a .env file based on .env_example.
• Run the command make up.
• Access the applications using the following URLs:
  • Streamlit: localhost:8001
  • Dash: localhost:8002
  • Panel: localhost:8003

Available commands (using make)

• make up - use to run all applications
• make down - use to stop all applications
• make build - use to manually build all applications
• make streamlit - use to enter into streamlit_app docker container. For debugging purposes.
• make streamlit-build - use to build Streamlit app.
• make streamlit-run - use to run Streamlit app.
• make dash - use to enter into dash_app docker container. For debugging purposes.
• make dash-build - use to build Dash app.
• make dash-run - use to run Dash app.
• make panel - use to enter into panel_app docker container. For debugging purposes.
• make panel-build - use to build Panel app.
• make panel-run - use to run Panel app.
• make tests-build - use to build Docker image for E2E tests
• make tests - use to run Docker container for E2E tests
• make tests-run - use to run all E2E tests

Maintenance recommendations

• Install pre-commit (link)

Testing

To evaluate and test all three data apps, we have employed Playwright, a powerful tool for crafting end-to-end (E2E) tests that cover essential aspects of the applications.

How to Execute E2E Tests

• Use the command make up to run all the required services
• Execute the command make tests-run to run all E2E tests