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.
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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.
The recommended installation method for signac is through conda or pip. The software is tested for Python 3.6+ and is built for all major platforms.
To install signac via the conda-forge channel, execute:
conda install -c conda-forge signac
To install signac via pip, execute:
pip install signac
Detailed information about alternative installation methods can be found in the documentation.
The framework facilitates a project-based workflow. Set up a new project:
$ mkdir my_project
$ cd my_project
$ signac init MyProject
and access the project handle:
>>> project = signac.get_project()
You can test this package by executing:
$ python -m pytest tests/
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.
*Note that all licence references and agreements mentioned in the signac README section above
are relevant to that project's source code only.
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