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glotzerlab/signac: Manage large and heterogeneous data spaces on the file system.

glotzerlab/signac: Manage large and heterogeneous data spaces on the file system.

14 hours ago

signac - simple data management

Affiliated with NumFOCUS</a> PyPI</a> conda-forge</a> GitHub Actions</a> RTD</a> License</a> PyPI-downloads</a> Twitter</a> GitHub Stars</a> The signac framework helps users manage and scale file-based workflows, facilitating data reuse, sharing, and reproducibility. It provides a simple and robust data model to create a well-defined indexable storage layout for data and metadata. This makes it easier to operate on large data spaces, streamlines post-processing and analysis and makes data collectively accessible.

Resources

Examples, tutorials, topic guides, and package Python APIs. API reference for the signac package. Ask the signac user community for help.

Installation

The recommended installation method for signac is through conda or pip. The software is tested for Python 3.8+ and is built for all major platforms. To install signac via the conda-forge channel, execute: ``bash conda install -c conda-forge signac ` To install signac via pip, execute: `bash pip install signac ` Detailed information about alternative installation methods can be found in the documentation.

Quickstart

The framework facilitates a project-based workflow. Set up a new project:
`bash $ mkdir my_project $ cd my_project $ signac init ` and access the project handle: `python
>> project = signac.get_project()
`

Testing

You can test this package by executing:
`bash $ python -m pytest tests/ ``

Acknowledgment

When using signac as part of your work towards a publication, we would really appreciate that you acknowledge signac appropriately. We have prepared examples on how to do that here. Thank you very much! The signac framework is a NumFOCUS Affiliated Project.
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