Dash
Data Apps & Dashboards for Python. No JavaScript Required.
Overview:
Dash is a popular Python framework designed for creating machine learning and data science web applications. It is built on top of modern technologies like Plotly.js, React, and Flask, allowing users to easily connect UI elements to analytical Python code.
Features:
- Modern UI Elements: Dash provides dropdowns, sliders, and graphs that can be directly linked to Python code.
- Extensive Documentation: Users can create their first Dash app in under 5 minutes with the detailed tutorials provided.
- App Gallery: Access a collection of Dash applications along with their Python and R code.
- Declarative and Reactive Code: Dash apps are easy to build with declarative and reactive code.
- Charting Capabilities: Dash supports about 50 chart types using Plotly.js, including maps.
- Custom Styling: Users have full control over the look and feel of their applications with Dash.
- ML Ops Features: Dash Enterprise offers scalable hosting, deployment, and authentication for Dash apps, eliminating the need for IT or DevOps.
Summary:
- Flask
Flask is a lightweight and popular web framework for Python, known for its simplicity and flexibility. It is widely used to build web applications, providing a minimalistic approach to web development with features like routing, templates, and support for extensions.
- React
React is a widely used JavaScript library for building user interfaces and single-page applications. It follows a component-based architecture and uses a virtual DOM to efficiently update and render UI components
