120 lines
5.3 KiB
Markdown
120 lines
5.3 KiB
Markdown
## SpiffWorkflow
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Spiff Workflow is a workflow engine implemented in pure Python. It is based on
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the excellent work of the Workflow Patterns initiative. In 2020 and 2021,
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extensive support was added for BPMN / DMN processing.
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## Motivation
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We created SpiffWorkflow to support the development of low-code business
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applications in Python. Using BPMN will allow non-developers to describe
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complex workflow processes in a visual diagram, coupled with a powerful python
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script engine that works seamlessly within the diagrams. SpiffWorkflow can parse
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these diagrams and execute them. The ability for businesses to create
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clear, coherent diagrams that drive an application has far reaching potential.
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While multiple tools exist for doing this in Java, we believe that wide
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adoption of the Python Language, and it's ease of use, create a winning
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strategy for building Low-Code applications.
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## Build status
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[](https://travis-ci.org/sartography/SpiffWorkflow)
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[](https://github.com/sartography/SpiffWorkflow/actions/workflows/tests.yaml)
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[](http://spiffworkflow.readthedocs.io/en/latest/?badge=latest)
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[](https://github.com/sartography/SpiffWorkflow/issues)
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[](https://github.com/sartography/SpiffWorkflow/pulls)
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## Code style
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[](https://www.python.org/dev/peps/pep-0008/)
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## Dependencies
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We've worked to minimize external dependencies. We rely on lxml for parsing
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XML Documents, and there is some legacy support for Celery, but it is not
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core to the implementation, it is just a way to interconnect these systems.
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<b>Built with</b>
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- [lxml](https://lxml.de/)
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- [celery](https://docs.celeryproject.org/en/stable/)
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## Features
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* __BPMN__ - support for parsing BPMN diagrams, including the more complex
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components, like pools and lanes, multi-instance tasks, sub-workflows, timer
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events, signals, messages, boudary events and looping.
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* __DMN__ - We have a baseline implementation of DMN that is well integrated
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with our Python Execution Engine.
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* __Forms__ - forms, including text fields, selection lists, and most every other
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thing you can be extracted from the Camunda xml extension, and returned as
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json data that can be used to generate forms on the command line, or in web
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applications (we've used Formly to good success)
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* __Python Workflows__ - We've retained support for building workflows directly
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in code, or running workflows based on a internal json data structure.
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_A complete list of the latest features is available with our [release notes](https://github.com/sartography/SpiffWorkflow/releases/tag/1.0) for
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version 1.0._
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## Code Examples and Documentation
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Detailed documentation is available on [ReadTheDocs](https://spiffworkflow.readthedocs.io/en/latest/)
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Also, checkout our [example application](https://github.com/sartography/spiff-example-cli), which we
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reference extensively from the Documentation.
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## Installation
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```
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pip install spiffworkflow
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```
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## Tests
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```
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cd tests/SpiffWorkflow
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coverage run --source=SpiffWorkflow -m unittest discover -v . "*Test.py"
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```
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## Support
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You can find us on Discord at https://discord.gg/BYHcc7PpUC
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Commercial support for SpiffWorkflow is available from
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[Sartography](https://sartography.com)
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## Contribute
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Pull Requests are and always will be welcome!
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Please check your formatting, assure that all tests are passing, and include
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any additional tests that can demonstrate the new code you created is working
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as expected. If applicable, please reference the issue number in your pull
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request.
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## Credits and Thanks
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Samuel Abels (@knipknap) for creating SpiffWorkflow and maintaining it for over
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a decade.
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Matthew Hampton (@matthewhampton) for his initial contributions around BPMN
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parsing and execution.
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The University of Virginia for allowing us to take on the mammoth task of
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building a general-purpose workflow system for BPMN, and allowing us to
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contribute that back to the open source community. In particular, we would like
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to thank [Ron Hutchins](https://www.linkedin.com/in/ron-hutchins-b19603123/),
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for his trust and support. Without him our efforts would not be possible.
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Bruce Silver, the author of BPMN Quick and Easy Using Method and Style, whose
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work we referenced extensively as we made implementation decisions and
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educated ourselves on the BPMN and DMN standards.
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The BPMN.js library, without which we would not have the tools to effectively
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build out our models, embed an editor in our application, and pull this mad
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mess together.
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Kelly McDonald (@w4kpm) who dove deeper into the core of SpiffWorkflow than
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anyone else, and was instrumental in helping us get some of these major
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enhancements working correctly.
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Thanks also to the many contributions from our community. Large and small.
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From Ziad (@ziadsawalha) in the early days to Elizabeth (@essweine) more
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recently. It is good to be a part of this long lived and strong
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community.
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## License
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GNU LESSER GENERAL PUBLIC LICENSE
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