Lab-Docker-Warehouse

This repository hosts Docker images for various tools used in our lab.

Tool	Pull	Stars	Image Size
binder
scanexitron

TODO

• add badge to show image status
• use image version as tag
• use cache to reduce build time
• only build modified recipe
• add test CI to test pr
• only test modified or new recipes and ignore unchanged recipes

Overview

The purpose of this repository is to provide a centralized place for maintaining, updating, and distributing Docker images for the software tools we use in our lab.

Each tool has its own Dockerfile which is located in a sub-directory under the recipes directory. Each sub-directory is named after the tool.

Usage

You can pull the Docker images from our Docker Hub account:

docker pull yanglabinfo/<Tool Name>

Building Locally

To build the Docker images locally, navigate to the directory of the tool and run the following command:

docker build -t <Your Docker Hub Username>/<Tool Name>:<Tag> .

Multi-architectural images

Create new builder

docker buildx create --name mybuilder --use

and switch to it

docker buildx use mybuilder

Then build the dockerfile

docker buildx build --platform linux/amd64,linux/arm64,linux/arm/v7 -t username/demo:latest --push .

Replace with our Docker Hub username, with the name of the tool, and with the version tag for the tool.

Contribution

We welcome contributions from everyone in the lab. If you have updates or new Dockerfiles to add, please submit a pull request.

1. create a new directory under recipes

For example, suppose we introduce a new recipe called "scannls". First, make a new directory. Create a new Dockerfile after that. The directory structure will be as follows:

.
├── LICENSE
├── README.md
├── recipes
│   ├── scannls
│   │   └── Dockerfile
│   ├── binder
│   │   └── Dockerfile
│   └── scanexitron
│       └── Dockerfile
└── scripts
    └── update-badge.py

2. Add version for the image in Dockerfile

As the image's tag, We will use VERSION variable as tag of the image. If no VERSION is specified, latest will be used.

ARG VERSION=v1.1

At last, we may make use of the image via

docker pull yanglabinfo/scannls:v1.1

Questions

If you have questions or encounter any issues, please open an issue in this repository.