Streaming process mining with pyBeamline
pyBeamline is a Python version of Beamline. While the same set of ideas and principles of Beamline have been ported into pyBeamline, the underlying goal and technology is very different.
pyBeamline is based on ReactiveX and its Python binding RxPY. RxPY is a library for composing asynchronous and event-based programs using observable sequences and pipable query operators in Python. Using pyBeamline it is possible to inject process mining operators into the computation.
For a complete documentation of the library see https://www.beamline.cloud/pybeamline/. To install the library use:
pip install pybeamline
Complete Jupyter notebooks presenting all techniques available are available at
- Classical process mining: https://github.com/beamline/pybeamline/blob/master/tutorial.ipynb
- Object-centric Process mining: https://github.com/beamline/pybeamline/blob/master/tutorial_oc.ipynb
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Release files for pybeamline 2.0.3
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| File | Size | Uploaded | Provenance | Actions |
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| pybeamline-2.0.3.tar.gz | 46.5 kB | Without provenance | Details for pybeamline-2.0.3.tar.gz |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| pybeamline-2.0.3-py3-none-any.whl | Python 3 | none | any | Details for pybeamline-2.0.3-py3-none-any.whl |
Total release size: 115.5 kB
Release files / pybeamline-2.0.3.tar.gz
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