A GitHub repository stack README file is a document that provides information about a project that uses a stack of different technologies or frameworks. A stack README file can help users understand the purpose, structure, and dependencies of your project, as well as how to install, run, and contribute to it.
A good stack README file should include the following sections:
Project name and description: This section should briefly introduce your project and explain what it does and why it is useful. Stack overview: This section should list and describe the main technologies or frameworks that your project uses, such as programming languages, libraries, databases, APIs, etc. You can also include a diagram or a screenshot to illustrate the architecture or the user interface of your project. Installation and usage: This section should provide clear and detailed instructions on how to install and run your project locally or on a server. You should specify the requirements, dependencies, and configuration steps that are needed to set up your project. You should also include examples of common commands or tasks that users can perform with your project, such as testing, debugging, or deploying. Contributing: This section should explain how users can contribute to your project, such as reporting issues, submitting pull requests, or suggesting new features. You should also provide guidelines for coding style, documentation, testing, and code review. License: This section should state the license that your project is released under, and provide a link to the full license text. You can choose a license from the list of open source licenses on choosealicense.com. Here is an example of a stack README file for a web application that uses React, Node.js, MongoDB, and GraphQL:
TodoApp TodoApp is a simple web application that allows users to create, update, and delete tasks. It is built with React, Node.js, MongoDB, and GraphQL.
Stack overview React: A JavaScript library for building user interfaces. React is used to create the front-end components of the web application, such as the task list, the task form, and the navigation bar. Node.js: A JavaScript runtime environment that executes JavaScript code outside of a web browser. Node.js is used to create the back-end server of the web application, which handles the requests from the front-end and communicates with the database. MongoDB: A cross-platform document-oriented database that stores data in JSON-like format. MongoDB is used to store the tasks and their details, such as title, description, priority, and status. GraphQL: A query language and a server-side runtime for APIs that allows clients to specify the data they need. GraphQL is used to create the API of the web application, which defines the schema and the resolvers for the tasks. The following diagram shows the structure and the flow of data in the web application:
+-----------------+ +-----------------+ +-----------------+ | | | | | | | React |<--->| Node.js |<--->| MongoDB | | | | | | | +-----------------+ +-----------------+ +-----------------+ | ^ | v | v +-----------------+ +-----------------+ | | | | | GraphQL |<--->| GraphQL | | | | | +-----------------+ +-----------------+
Installation and usage To install and run the web application, you need to have Node.js, MongoDB, and npm (or yarn) installed on your machine. You also need to clone this repository to your local directory.
Clone the repository git clone https://github.com/username/todoapp.git cd todoapp
Install the dependencies npm install # or yarn install
Start the server npm start # or yarn start
This will start the Node.js server on port 3000 and the GraphQL server on port 4000. You can access the web application at http://localhost:3000 and the GraphQL playground at http://localhost:4000.
Test the application npm test # or yarn test
This will run the unit tests and the integration tests for the web application using Jest and Enzyme.
Contributing We welcome contributions from anyone who is interested in improving the web application. You can contribute by reporting issues, submitting pull requests, or suggesting new features.
Before you contribute, please read our code of conduct and our contribution guidelines.
License This project is licensed under the MIT License. See the LICENSE file for details.