Building Singularity Containers with Conda Environments from requirements.txt

This post introduces a method for building Singularity containers that include a Conda environment based on a requirements.txt file. This approach provides a reproducible and portable environment for any Python project.

Key Capabilities:

• Automated Environment Setup: Easily create a Conda environment within a Singularity container using a requirements.txt file.
• Reproducible Environments: Ensure consistent execution of your Python projects across different systems.
• Streamlined Workflow: Leverage GitHub Actions for automated container builds and hosting on GitHub Container Registry.

Getting Started:

This container is built using Apptainer (formerly Singularity) via GitHub Actions, ensuring a streamlined and automated process. Python dependencies are managed through requirements.txt, which is used to create a Conda environment inside the container. The resulting container image is hosted on the GitHub Container Registry, allowing for easy pulling and deployment.

You can pull the container using:

singularity pull oras://ghcr.io/zonca/singularity_dask_zarr:latest

For more details, including building and testing instructions, please refer to the GitHub repository: https://github.com/zonca/singularity_dask_zarr