Streamlit vs Dash by Plotly

Struggling to choose between Streamlit and Dash by Plotly? Both products offer unique advantages, making it a tough decision.

Streamlit is a Ai Tools & Services solution with tags like python, web-app, dashboard.

It boasts features such as Quickly create web apps and dashboards in Python, Interactive widgets for user input, Support for major Python data science libraries, Real-time updates as code changes, Open-source and free and pros including Very fast and easy to build apps, No need to know frontend web dev, Great for data science workflows, Active community support.

On the other hand, Dash by Plotly is a Development product tagged with python, plotly, dashboard, visualization, analytics.

Its standout features include Interactive data visualization, Built on top of Plotly.js, React, and Flask, Supports many chart types like scatter plots, histograms, box plots, heatmaps, etc, Linked views for cross-filtering, Supports callbacks for dynamic updates and interactions, Layouts with CSS grid and flexbox, Authentication and role-based access control, Works with Pandas DataFrames, and it shines with pros like Open-source and free to use, Great for building analytical web apps quickly, Large library of customizable visualizations, Python-based, so easy for Python developers, Active community support.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.