Installation and Use

Currently, Easy Dataset supports three startup methods: client, NPM, and Docker. All methods process data completely locally, so you don't need to worry about data privacy issues.

Client Startup (Suitable for Beginners)

To solve various local deployment environment issues, you can directly use the client to start, supporting the following platforms:

You can directly go to https://github.com/ConardLi/easy-dataset/releases to download the installation package suitable for your system:

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NPM Startup (Suitable for Developers)

This project is built on Next, so as long as you have a Node environment locally, you can start directly through NPM. This is suitable for developers who need to debug the project:

1. Clone the repository:

   git clone https://github.com/ConardLi/easy-dataset.git
   cd easy-dataset

1. Install dependencies:

   npm install

1. Start the server:

   npm run build
   npm run start

Note: When using NPM startup, when the system releases a new version, you need to re-execute git pull to fetch the latest code, and then re-execute the three steps of npm install, npm run build, and npm run start.

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Docker Startup (Suitable for Private Deployment)

If you want to build the image yourself for deployment in cloud services or intranet environments, you can use the Dockerfile in the project root directory:

1. Clone the repository:

   git clone https://github.com/ConardLi/easy-dataset.git
   cd easy-dataset

1. Build the Docker image:

   docker build -t easy-dataset .

1. Run the container:

   docker run -d -p 1717:1717 -v {YOUR_LOCAL_DB_PATH}:/app/local-db --name easy-dataset easy-dataset

Note: Please replace {YOUR_LOCAL_DB_PATH} with the actual path where you want to store the local database.