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The code, which is hosted on GitHub, is tested using various continuous integration services for its validity.
This repository is created and maintained by @singularitti, and contributions are highly welcome.
Build workflows from jobs. Run, monitor, and get results from them. This package takes inspiration from packages like JobSchedulers and Dispatcher (unmaintained).
Please cite this package as:
Q. Zhang, C. Gu, J. Zhuang et al., express: extensible, high-level workflows for swifter ab initio materials modeling, Computer Physics Communications, 108515, doi: https://doi.org/10.1016/j.cpc.2022.108515.
The BibTeX format is:
@article{ZHANG2022108515,
title = {express: extensible, high-level workflows for swifter ab initio materials modeling},
journal = {Computer Physics Communications},
pages = {108515},
year = {2022},
issn = {0010-4655},
doi = {https://doi.org/10.1016/j.cpc.2022.108515},
url = {https://www.sciencedirect.com/science/article/pii/S001046552200234X},
author = {Qi Zhang and Chaoxuan Gu and Jingyi Zhuang and Renata M. Wentzcovitch},
keywords = {automation, workflow, high-level, high-throughput, data lineage}
}We also have an arXiv prepint.
The package can be installed with the Julia package manager.
From the Julia REPL, type ] to enter
the Pkg mode and run:
pkg> add SimpleWorkflowsOr, equivalently, via Pkg.jl:
julia> import Pkg; Pkg.add("SimpleWorkflows")- STABLE — documentation of the most recently tagged version.
- DEV — documentation of the in-development version.
The package is developed for and tested against Julia v1.6 and above on Linux, macOS, and
Windows.
You can post usage questions on our discussion page.
We welcome contributions, feature requests, and suggestions. If you encounter any problems, please open an issue. The Contributing page has a few guidelines that should be followed when opening pull requests and contributing code.