Offline First screenshot

Offline First

Author Avatar Theme by Madipta
Updated: 6 Mar 2024
26 Stars

Sample offline first using Nx monorepo, React, RxDb, NestJs, Prisma, GraphQl, PostgreSql

Categories

Overview

The OfflineSample project is an innovative approach to developing offline-first applications using a combination of powerful technologies. Built with the Nx monorepo toolkit, this setup integrates React for the frontend and NestJS for the backend, allowing developers to create robust applications that function seamlessly without an internet connection. Leveraging Prisma and GraphQL alongside PostgreSQL ensures that data management is efficient and effective.

This project represents a modern development workflow, making it easy for developers to get started and maintain their applications. With the focus on offline capabilities, it opens up new possibilities for building applications that are resilient and responsive, regardless of connectivity issues.

Features

  • Offline-First Architecture: Ensures that the application functions smoothly without an internet connection, enhancing user experience in low-connectivity environments.

  • Nx Monorepo Setup: Streamlines development by allowing multiple projects to be managed within a single repository, simplifying project organization and dependency management.

  • React Frontend: Utilizes React for building a dynamic and interactive user interface, providing a responsive experience for end-users.

  • NestJS Backend: Implements an efficient server-side framework that supports scalable and maintainable applications, making backend development straightforward.

  • Prisma Integration: Offers a type-safe data access layer, ensuring that database queries are reliable and reducing the risk of errors.

  • GraphQL Support: Facilitates flexible and efficient data fetching with queries and mutations, improving the interaction between the front and backend.

  • PostgreSQL Database: Uses a powerful relational database that is well-suited for handling complex queries and large datasets.

  • Easy Setup with Docker: Simplifies the installation process with Docker Compose, allowing developers to quickly get the application up and running in their local environment.