Awesome Dash

Website: https://github.com/ucg8j/awesome-dash#readme
Category: Themed Directories
Tags: awesome-lists, python, data-visualization

Overview

Awesome Dash is a curated directory of libraries, examples, and learning resources for building analytical web applications with Plotly Dash in Python. It focuses on tools and references for creating data visualization applications using Dash’s Python-based framework.

Features

• Curated resource list specifically focused on Dash (Plotly) and its ecosystem.
• Coverage across the Dash lifecycle, including:
  • Deployment resources and guides.
  • Tutorials for learning Dash and building applications.
  • Component Libraries that extend Dash with additional UI and visualization components.
  • App Examples demonstrating complete Dash applications.
  • Idiomatic examples showing recommended or “best practice” patterns for Dash code and app structure.
  • Galleries of Dash apps and visualizations.
  • Talks (presentations, conference talks, or videos) about Dash and related topics.
  • Cheat sheets for quick reference to Dash APIs, patterns, and workflows.
  • Community links (e.g., places to interact with other Dash users, forums, or community hubs).
• Open contribution model via a CONTRIBUTING guide and pull-request template for adding or updating resources.
• Auxiliary scripts (e.g., link validator, GitHub and PyPI query scripts) to help maintain link quality and resource freshness.
• Openly licensed: the list content is under a Creative Commons Attribution 4.0 International License.

Licensing

• Content is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Pricing

• Not applicable — this is an open, free GitHub-based resource list.