Dash, Streamlit, and FastAPI: Comparative Use Cases
In the ever-evolving world of software development, choosing the right application framework can significantly affect both development speed and the final product’s performance. Different frameworks are optimized for various use cases, depending on the type of application, performance needs, and developer expertise. Among the most prominent frameworks for building data-driven applications or APIs are Dash, Streamlit, and FastAPI. Each of these frameworks excels in specific scenarios, offering unique strengths and trade-offs. In this article, we’ll explore their comparative use cases to help developers understand when to choose each one.
Overview of Each Framework
1. What is Dash
Dash is an open-source Python framework created by Plotly for building analytical web applications. It is primarily designed for building dashboards and data visualization applications with minimal need for front-end coding. Dash integrates seamlessly with Plotly’s powerful graphing libraries and provides out-of-the-box support for interactive data visualization.
Let us create a simple interactive dashboard with a drop down to select a city and display a line chart of temperature data.
import dash
from dash…
