Question 1

Dash vs Streamlit: which is better for data science apps?

Accepted Answer

Dash offers more customization and is built on Flask and React, ideal for complex, production-ready apps. Streamlit is simpler for prototyping but less flexible. Choose Dash for enterprise-scale needs and Streamlit for quick, interactive scripts.

Question 2

How to deploy a Dash app to production?

Accepted Answer

For open-source Dash, deploy on platforms like Heroku or AWS using Gunicorn with Flask. Dash Enterprise provides managed Kubernetes deployment for easier scaling and features like authentication. Ensure proper configuration for static files and security.

Question 3

Can Dash handle real-time data updates?

Accepted Answer

Dash supports near-real-time updates via periodic callbacks or custom WebSockets, but high-frequency streaming may suffer from callback latency. Using Dash Enterprise's Job Queue can offload processing for better performance.

Question 4

Is Dash good for building mobile-responsive apps?

Accepted Answer

Dash apps use React components and can be made responsive with CSS frameworks or Dash Design Kit, but out-of-the-box, it requires manual styling for optimal mobile experience, as it's geared toward desktop dashboards.

Question 5

How to add user authentication to a Dash app?

Accepted Answer

In open-source Dash, implement authentication manually using Flask extensions. Dash Enterprise offers built-in, no-code authentication with LDAP, OAuth, and more, simplifying secure access control for teams.

Question 6

What are the alternatives to Plotly charts in Dash?

Accepted Answer

Dash is tightly integrated with Plotly.js, but you can use other libraries by creating custom React components. This requires JavaScript knowledge and breaks the Python-only workflow, making it less straightforward for pure Python developers.

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