podspy: A SciKit for process oriented data science
Description
Basic functionalities for doing process mining using Python, e.g., importing an event log, and creating a petri net.
Notes
Recently, a much grander effort has been put to create a python package for process mining - pm4py, check it out!!
Features
- Log processing and manipulation of event logs in XES format
- Petri nets (system nets, inhibitor and reset nets) and visualization
Installation
pip install podspy
1 maintainer
Metadata
1 maintainer
Release files for podspy 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| podspy-0.1.6.tar.gz | 3.4 MB | Without provenance | Details for podspy-0.1.6.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| podspy-0.1.6-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for podspy-0.1.6-py2.py3-none-any.whl |
Total release size: 3.5 MB
Release files / podspy-0.1.6.tar.gz
| Download URL | podspy-0.1.6.tar.gz |
|---|---|
| Size | 3.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5
|
Release files / podspy-0.1.6-py2.py3-none-any.whl
| Download URL | podspy-0.1.6-py2.py3-none-any.whl |
|---|---|
| Size | 53.7 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5
|
Security for podspy 0.1.6
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