# DEXiPy
DEXiPy is a software package for using DEXi models in Python.
DEXi models are hierarchical qualitative multi-criteria decision models developed according to the
method DEX ([Decision EXpert]( https://en.wikipedia.org/wiki/Decision_EXpert)),
using the program [DEXi](https://kt.ijs.si/MarkoBohanec/dexi.html) or
[DEXiWin](https://dex.ijs.si/dexisuite/dexiwin.html).
See [DEX Software](https://dex.ijs.si/) for more details.
A typical workflow with DEXiPy consists of:
1. Reading a `.dxi` file, previously created using the DEXi/DEXiWin software,
2. creating one or more lists containing input values of decision alternatives,
3. evaluating those alternatives,
4. analyzing alternatives,
5. drawing charts.
DEXiPy is restricted to using models produced externally by the DEXi/DEXiWin software and does not
provide functionality for creating and/or editing DEXi models directly in Python.
## Installation
DEXiPy can be installed from the local `.whl` file:
```console
pip install dist/dexipy-<version>-py3-none-any.whl
```
Currently, DEXiPy is still under development.
When it is fully developed, it will be installable from the [PyPI](https://pypi.org/)
repository:
```console
pip install dexipy
```
## Documentation
[DEXiPy](https://dex.ijs.si/documentation/DEXiPy/) on [dex.ijs.si](https://dex.ijs.si/)
## Usage
See [Examples](https://dex.ijs.si/documentation/DEXiPy/examples.html)
## License
[MIT](https://choosealicense.com/licenses/mit/)
Raw data
{
"_id": null,
"home_page": "https://repo.ijs.si/markobohanec/dexipy",
"name": "dexipy",
"maintainer": null,
"docs_url": null,
"requires_python": "<4,>=3.7",
"maintainer_email": null,
"keywords": "Decision EXpert, DEX method, multi-criteria, decision model, MCDM",
"author": "Marko Bohanec",
"author_email": "marko.bohanec@ijs.si",
"download_url": "https://files.pythonhosted.org/packages/6e/a3/000287ee0fc28b77709a3731f47b4f1ea031b7a8c603279fdd20bbd6930a/dexipy-1.0.0.tar.gz",
"platform": null,
"description": "# DEXiPy\r\n\r\nDEXiPy is a software package for using DEXi models in Python.\r\n\r\nDEXi models are hierarchical qualitative multi-criteria decision models developed according to the\r\nmethod DEX ([Decision EXpert]( https://en.wikipedia.org/wiki/Decision_EXpert)),\r\nusing the program [DEXi](https://kt.ijs.si/MarkoBohanec/dexi.html) or\r\n[DEXiWin](https://dex.ijs.si/dexisuite/dexiwin.html).\r\nSee [DEX Software](https://dex.ijs.si/) for more details.\r\n\r\nA typical workflow with DEXiPy consists of:\r\n1. Reading a `.dxi` file, previously created using the DEXi/DEXiWin software,\r\n2. creating one or more lists containing input values of decision alternatives,\r\n3. evaluating those alternatives,\r\n4. analyzing alternatives,\r\n5. drawing charts.\r\n\r\nDEXiPy is restricted to using models produced externally by the DEXi/DEXiWin software and does not\r\nprovide functionality for creating and/or editing DEXi models directly in Python.\r\n\r\n## Installation\r\n\r\nDEXiPy can be installed from the local `.whl` file:\r\n\r\n```console\r\npip install dist/dexipy-<version>-py3-none-any.whl\r\n```\r\n\r\nCurrently, DEXiPy is still under development.\r\nWhen it is fully developed, it will be installable from the [PyPI](https://pypi.org/)\r\nrepository:\r\n\r\n```console\r\npip install dexipy\r\n```\r\n\r\n## Documentation\r\n\r\n[DEXiPy](https://dex.ijs.si/documentation/DEXiPy/) on [dex.ijs.si](https://dex.ijs.si/)\r\n\r\n## Usage\r\n\r\nSee [Examples](https://dex.ijs.si/documentation/DEXiPy/examples.html)\r\n\r\n## License\r\n[MIT](https://choosealicense.com/licenses/mit/)\r\n",
"bugtrack_url": null,
"license": "LICENSE.md",
"summary": "A software package for using DEXi models in Python",
"version": "1.0.0",
"project_urls": {
"Documentation": "https://dex.ijs.si/documentation/DEXiPy/",
"Homepage": "https://repo.ijs.si/markobohanec/dexipy",
"Source": "https://repo.ijs.si/markobohanec/dexipy"
},
"split_keywords": [
"decision expert",
" dex method",
" multi-criteria",
" decision model",
" mcdm"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "b5a5ee2754563242a728a3f328bef243b2a4c91f035651928be178c1399fea1b",
"md5": "1eb7d929edd897a1e59d26275542c308",
"sha256": "9bdf3a84647ec0cb8d986ceaa1af08c982f695aa2c0506a1813000c2c3f3a9b7"
},
"downloads": -1,
"filename": "dexipy-1.0.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "1eb7d929edd897a1e59d26275542c308",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<4,>=3.7",
"size": 72540,
"upload_time": "2024-10-09T08:35:00",
"upload_time_iso_8601": "2024-10-09T08:35:00.853812Z",
"url": "https://files.pythonhosted.org/packages/b5/a5/ee2754563242a728a3f328bef243b2a4c91f035651928be178c1399fea1b/dexipy-1.0.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "6ea3000287ee0fc28b77709a3731f47b4f1ea031b7a8c603279fdd20bbd6930a",
"md5": "81372ba306498291833bd9a0c8c37bb0",
"sha256": "2a30b7709be92abe5ed5cdd50bee91134c3db645c2f49b1fcf8eb0d2c9e26220"
},
"downloads": -1,
"filename": "dexipy-1.0.0.tar.gz",
"has_sig": false,
"md5_digest": "81372ba306498291833bd9a0c8c37bb0",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<4,>=3.7",
"size": 67283,
"upload_time": "2024-10-09T08:35:02",
"upload_time_iso_8601": "2024-10-09T08:35:02.148841Z",
"url": "https://files.pythonhosted.org/packages/6e/a3/000287ee0fc28b77709a3731f47b4f1ea031b7a8c603279fdd20bbd6930a/dexipy-1.0.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-10-09 08:35:02",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "dexipy"
}