SimpleWorkflows

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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.

Package features

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:

bibtex @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.

Installation

The package can be installed with the Julia package manager. From the Julia REPL, type ] to enter the Pkg mode and run:

julia-repl pkg> add SimpleWorkflows

Or, equivalently, via Pkg.jl:

julia julia> import Pkg; Pkg.add("SimpleWorkflows")

Documentation

• STABLE — documentation of the most recently tagged version.
• DEV — documentation of the in-development version.

Project status

The package is developed for and tested against Julia v1.6 and above on Linux, macOS, and Windows.

Questions and contributions

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.