pmlab-lite
A Process Mining scripting environment. Containing the following functionalities among others:
- Petri Net modelling, exploring and execution
- Reading and working with Event Logs
- Executing state of the art Process Mining techniques
- such as the Inductive Miner for Process Model Discovery
- or the A*-algorithm for computing Alignments in Conformance Checking
Installation
Install pmlab-lite from pypi using pip:
$ pip3 install pmlab-lite
Testing
In the test folder involved parties can create test files and run the test files.
Create test-files in the test-directory following the naming convention: test_*.py
pmlab-lite
├── pmlab_lite
│ ├── ...
│ ├── pn
│ │ └── ...
│ └── __init__.py
├── test
│ ├── test_pn.py
│ ├── ...
│ └── test_*.py
├── .gitignore
├── LICENSE
├── README.md
├── distribute_to_pypi.sh
└── setup.py
Run the test-file from the top-level-directory using following command:
$ python3 -m unittest test.test_*
Certification
XES certified by the IEEE Task Force on Process Mining.
License
GNU General Public License 3.0
4 maintainers
Release files for pmlab-lite 0.4.9.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pmlab_lite-0.4.9.1.tar.gz | 47.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pmlab_lite-0.4.9.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 103.5 kB
Release files / pmlab_lite-0.4.9.1.tar.gz
| Download URL | pmlab_lite-0.4.9.1.tar.gz |
|---|---|
| Size | 47.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
|
Release files / pmlab_lite-0.4.9.1-py3-none-any.whl
| Download URL | pmlab_lite-0.4.9.1-py3-none-any.whl |
|---|---|
| Size | 55.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
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