Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.6%) to scientific vocabulary
Repository
Python version of Beamline, based on ReactiveX
Basic Info
- Host: GitHub
- Owner: beamline
- License: apache-2.0
- Language: Jupyter Notebook
- Default Branch: master
- Homepage: https://www.beamline.cloud/pybeamline
- Size: 32.9 MB
Statistics
- Stars: 3
- Watchers: 1
- Forks: 4
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
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:
console
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
Classic Process Mining
Object Centric Process Mining
Owner
- Name: Beamline
- Login: beamline
- Kind: organization
- Website: https://www.beamline.cloud
- Repositories: 5
- Profile: https://github.com/beamline
Streaming processs mining
Citation (CITATION.md)
## Citation Please, cite this work as: * Andrea Burattin. "[Beamline: A comprehensive toolkit for research and development of streaming process mining](https://andrea.burattin.net/publications/2023-simpa)". In *Software Impacts*, vol. 17 (2023).
GitHub Events
Total
- Watch event: 1
- Issue comment event: 1
- Push event: 15
- Pull request review event: 1
- Pull request event: 2
- Fork event: 2
Last Year
- Watch event: 1
- Issue comment event: 1
- Push event: 15
- Pull request review event: 1
- Pull request event: 2
- Fork event: 2
Packages
- Total packages: 1
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Total downloads:
- pypi 17 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 9
- Total maintainers: 1
pypi.org: pybeamline
Python version of Beamline (based on ReactiveX)
- Documentation: https://pybeamline.readthedocs.io/
- License: Apache-2.0
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Latest release: 1.1.1
published 10 months ago
Rankings
Maintainers (1)
Dependencies
- pandas *
- pm4py *
- reactivex *
- paho-mqtt ==2.1.0
- pm4py ==2.7.4
- reactivex ==4.0.4
- actions/checkout v3 composite
- actions/setup-python v4 composite
- codecov/codecov-action v5 composite
- actions/checkout v4 composite
- actions/setup-python v3 composite