Vanilla HTML components for building Dash web applications with Python.
Dash HTML Components is a Python library that provides vanilla HTML elements as components for the Dash web application framework. It enables developers to build user interfaces using standard HTML tags through Python classes, eliminating the need for direct HTML or JavaScript coding. The library automatically maps all HTML elements and their attributes to Python components that integrate seamlessly with Dash's interactive capabilities.
Python developers and data scientists using the Dash framework to build web applications, particularly those who want to create custom UI layouts without writing HTML/JavaScript directly.
Developers choose Dash HTML Components because it provides complete, standards-compliant HTML access within the Python ecosystem, enabling rapid development of web interfaces with full attribute support and seamless integration with Dash's reactive programming model.
OBSOLETE - now part of https://github.com/plotly/dash
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Provides every standard HTML element as a Python component, automatically generated from MDN specifications, ensuring full standards compliance without manual coding.
Includes all valid HTML attributes scraped from MDN documentation, making it easy to leverage advanced HTML features directly in Python code.
Works directly with Dash's callback system for interactive applications, enabling Python-driven UIs without JavaScript, as highlighted in the key features.
Component definitions are auto-generated from HTML specs, reducing maintenance errors and keeping the library up-to-date with web standards.
As stated in the README, active development has shifted to the main Dash repository, so this package may lack new features or updates, relying on backward compatibility.
Tightly integrated with Dash, making it unusable outside Dash applications and limiting flexibility for teams considering other frameworks.
Requires both npm and Python setups for development, as shown in installation steps, which can be cumbersome for Python-only developers unfamiliar with Node.js tooling.