- Name: Telepub
- Github: https://github.com/kinnrot/telepub
- production: no!
- Comments: Please share feedback, do you need this? would you help ?
thanks!
Nice example. Did you know though that instead of declaring getters for your targets that you can just access them with this.nameTarget
?
- Cart Example - Stimulus (Building the Same UI Three Modest Ways)
- Github repo : https://github.com/pascallaliberte/examples.modestjs.works/tree/master/cart/stimulus
- Link to Live app : https://cart-stimulus.modestjs.works
- Is it a project in production? : Demo only
- Comments: I built the same sample Shopping Cart app UI using three different ways. This example is for the Stimulus version, and there are two other versions done in vanilla JS and using spot view-models (vue.js). Detailed in the chapter called Building the Same UI Three Modest Ways of a book I wrote called Modest JS Works.
- Owner : https://github.com/pascallaliberte
- Name : Stimulus Pearls
- Link to Live app : https://onrails.blog/2020/11/30/stimulus-pearls-a-collection-of-stimulus-js-tutorials/
- Is it a project in production? : Yes, Tutorials from many projects
- Comments: Follow along as you build a series of projects, layering on interactivity on top of some small projects.
Name : LearnAwesome
Github repo : https://github.com/learn-awesome/learn
Link to Live app : https://learnawesome.org/
Is it a project in production? : Yes
Comments: It uses TailwindCSS and AlpineJS so that components are fully described within their HTML markup. We will now start implementing Hotwire / Turbo support. Should be simple because many of our components are already using SJR for partial page updates. Excited about the prospects of only having to worry about state management on the server.
Name: Audiotrails
Github: https://github.com/danjac/radiofeed
Live app: https://audiotrails.io
In production? Yes (side project)
Podcast app. Uses Django backend and Turbolinks/StimulusJS on frontend (just updated to new Hotwire/Turbo and Stimulus2) with Tailwind CSS. Uses an HTML5 audio player and machine learning to create podcast recommendations.