A curated collection of awesome tools, libraries, tutorials, and resources for the Cycle.js framework.
Awesome Cycle.js is a curated list of resources for the Cycle.js framework. It is a community-driven directory that compiles learning materials, tools, libraries, example applications, and other assets to help developers learn and build with Cycle.js, a functional and reactive framework for building user interfaces.
JavaScript developers, especially those interested in functional reactive programming (FRP), the Model-View-Intent (MVI) architecture, or looking to explore or adopt the Cycle.js framework for their projects.
It saves developers significant time by aggregating and organizing the scattered ecosystem of Cycle.js resources into a single, trusted, and well-structured list, eliminating the need to search across multiple sources for quality tools and learning materials.
A curated list of awesome Cycle.js resources
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Aggregates everything from official documentation to community tutorials and videos, providing a one-stop shop for Cycle.js learners, as evidenced by the extensive Learn and Tools sections.
Lists numerous drivers for HTTP, DOM, storage, and more, plus utilities and components, showcasing the framework's extensibility with over 50 driver entries in the Libraries section.
Features a wide variety of example apps, from simple TODOs to complex games like Tetris, offering practical insights into Cycle.js usage across different domains.
Includes tools like create-cycle-app for quick setup and cycle-time-travel for debugging, enhancing developer experience with ready-to-use utilities from the Tools and Debugging sections.
The list is a static markdown file without search functionality or advanced filtering, making it cumbersome to find specific resources efficiently in the lengthy README.
As a community-maintained project, some links or tools may be broken or deprecated, requiring users to verify currency, with no indication of last updates or version compatibility.
Resources are listed without ratings or popularity metrics, so users must sift through to find the most effective materials, as seen in the unranked example applications and libraries.