Scikit-Criteria
Multiple-criteria decision analysis
Scikit-Criteria is a collection of Multiple-criteria decision analysis (MCDA) methods integrated into scientific python stack. Is Open source and commercially usable.
💬 Help & discussion mailing list
Our Google Groups mailing list is here.
You can contact me at: jbcabral@unc.edu.ar (if you have a support question, try the mailing list first)
☕ Support
This project is completely free of charge and open source. If you find it useful in your work or simply want to support us, you can buy us a coffee:
📦 Code Repository & Issues
https://github.com/quatrope/scikit-criteria
📜 License
Scikit-Criteria is under The 3-Clause BSD License
This license allows unlimited redistribution for any purpose as long as its copyright notices and the license's disclaimers of warranty are maintained.
📚 Citation
If you are using Scikit-Criteria in your research, please cite:
If you use scikit-criteria in a scientific publication, we would appreciate citations to the following paper:
Cabral, Juan B., Nadia Ayelen Luczywo, and José Luis Zanazzi 2016 Scikit-Criteria: Colección de Métodos de Análisis Multi-Criterio Integrado Al Stack Científico de Python. In XLV Jornadas Argentinas de Informática E Investigación Operativa (45JAIIO)-XIV Simposio Argentino de Investigación Operativa (SIO) (Buenos Aires, 2016) Pp. 59-66. http://45jaiio.sadio.org.ar/sites/default/files/Sio-23.pdf.
Bibtex entry:
@inproceedings{scikit-criteria,
author={
Juan B Cabral and Nadia Ayelen Luczywo and Jos\'{e} Luis Zanazzi},
title={
Scikit-Criteria: Colecci\'{o}n de m\'{e}todos de an\'{a}lisis
multi-criterio integrado al stack cient\'{i}fico de {P}ython},
booktitle = {
XLV Jornadas Argentinas de Inform{\'a}tica
e Investigaci{\'o}n Operativa (45JAIIO)-
XIV Simposio Argentino de Investigaci\'{o}n Operativa (SIO)
(Buenos Aires, 2016)},
year={2016},
pages = {59--66},
url={http://45jaiio.sadio.org.ar/sites/default/files/Sio-23.pdf}
}
Full Publication: http://sedici.unlp.edu.ar/handle/10915/58577
🤖 AI Agent Configuration
For AI coding assistants and agents working on this project, please refer to AGENT.md for project structure, key patterns, and coding standards.
1 maintainer
Metadata
1 maintainer
Release files for scikit-criteria 0.10
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 | |
|---|---|---|---|---|
| scikit_criteria-0.10.tar.gz | 138.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scikit_criteria-0.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 322.8 kB
Release files / scikit_criteria-0.10.tar.gz
| Download URL | scikit_criteria-0.10.tar.gz |
|---|---|
| Size | 138.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
78386f894064dfc969f7b620c8e82ffdd9add0cd3010f1f6d80379565c6bfc47
|
|
BLAKE2b-256 checksum How to use checksums |
83333aa1fd8326a04d2a377da0e1a67296b1b07751801a377795217105464d21
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|
Release files / scikit_criteria-0.10-py3-none-any.whl
| Download URL | scikit_criteria-0.10-py3-none-any.whl |
|---|---|
| Size | 183.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6086ae47dfbaf6712022265320e0e9f0c17ab9267a161ec8014f2498d476ef37
|
|
BLAKE2b-256 checksum How to use checksums |
27782fb2c2b5b8e9b682f0dd0eca4ad41ebbc089099c17bb7188426edf329edb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|
Security for scikit-criteria 0.10
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
