Singularity/Apptainer Runner for Styx compiled wrappers
styxsingularity is a Python package that provides Singularity/Apptainer integration for Styx compiled wrappers. It allows you to run Styx functions within Singularity containers, offering improved isolation and reproducibility for your workflows.
Installation
You can install styxsingularity using pip:
pip install styxsingularity
Usage
from styxdefs import set_global_runner
from styxsingularity import SingularityRunner
# Initialize the SingularityRunner
runner = SingularityRunner()
# Set the global runner for Styx
set_global_runner(runner)
# Now you can use any Styx functions as usual, and they will run in Singularity containers
Advanced Configuration
The SingularityRunner class accepts several parameters for advanced configuration:
image_overrides: A dictionary to override container image tagssingularity_executable: Path to the Singularity executable (default:"singularity")data_dir: Directory for temporary data storageenviron: Environment variables to set in the container
Example:
runner = SingularityRunner(
image_overrides={"python:3.9": "my-custom-python:3.9"},
singularity_executable="/usr/local/bin/singularity",
data_dir="/tmp/styx_data",
environ={"PYTHONPATH": "/app/lib"}
)
Error Handling
styxsingularity provides a custom error class, StyxSingularityError, which is raised when a Singularity execution fails. This error includes details about the return code, command arguments, and Singularity arguments for easier debugging.
Contributing
Contributions to styxsingularity are welcome! Please refer to the GitHub repository for information on how to contribute, report issues, or submit pull requests.
License
styxsingularity is released under the MIT License. See the LICENSE file for details.
Documentation
For detailed API documentation, please visit our API Docs.
Support
If you encounter any issues or have questions, please open an issue on the GitHub repository.
Requirements
- Python 3.10+
- Singularity or Apptainer installed and running on your system
Comparison with styxdocker
While styxdocker and styxsingularity serve similar purposes, they have some key differences:
- Container Technology:
styxdockeruses Docker, whilestyxsingularityuses Singularity/Apptainer. - Platform Support:
styxdockerworks on Windows, Linux, and macOS, whereasstyxsingularityis not supported on Windows. - User Permissions:
styxdockercan run containers as the current user on POSIX systems, which can help with file permission issues.
Choose the package that best fits your infrastructure and requirements.
Metadata
Release files for styxsingularity 0.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| styxsingularity-0.9.0.tar.gz | 3.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| styxsingularity-0.9.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.1 kB
Release files / styxsingularity-0.9.0.tar.gz
| Download URL | styxsingularity-0.9.0.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Release files / styxsingularity-0.9.0-py3-none-any.whl
| Download URL | styxsingularity-0.9.0-py3-none-any.whl |
|---|---|
| Size | 4.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Security for styxsingularity 0.9.0
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