Building a Photo Sharing App with Nuxt 3, GraphQL, Cloudinary, Postgres and Strapi

• strapi-photos-app-frontend

  1 6 0.0 Vue

  Example project on how to create a photo sharing app with Strapi GraphQL, Postgres and Cloudinary

Click here to view the code on Github

• Nuxt 3

  78 11,062 9.9 TypeScript

  Discontinued Old repo of Nuxt 3 framework, now on nuxt/nuxt (by nuxt)

  

Once the installation is complete, add Tailwind CSS to the project using the @nuxt/tailwind module. We’ll also install the tailwind form plugin. This module helps set up Tailwind CSS (version 3) in our Nuxt 3 application in seconds.

• SurveyJS

  surveyjs.io sponsored

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

• Tailwind CSS

  1,277 78,166 9.4 TypeScript

  A utility-first CSS framework for rapid UI development.

  

Once the installation is complete, add Tailwind CSS to the project using the @nuxt/tailwind module. We’ll also install the tailwind form plugin. This module helps set up Tailwind CSS (version 3) in our Nuxt 3 application in seconds.

• Strapi

  458 59,840 10.0 TypeScript

  🚀 Strapi is the leading open-source headless CMS. It’s 100% JavaScript/TypeScript, fully customizable and developer-first.

  

With a customizable Headless CMS like Strapi for example, we have the ability to choose a database for our content, integrate a media library and even expand the backend functionality using plugins that can be found on the Strapi marketplace.

• heroicons

  78 20,637 7.2 JavaScript

  A set of free MIT-licensed high-quality SVG icons for UI development.

  

We’ll use Heroicons for our icon library. To get started, install the Vue library:

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

Suggest a related project