| Name | pyecosim JSON |
| Version |
0.0.0
JSON |
| download |
| home_page | |
| Summary | Python-based Eco-friendly Simulation and Lifecycle Assessment Model |
| upload_time | 2023-08-06 19:12:31 |
| maintainer | |
| docs_url | None |
| author | Hedi ROMDHANA |
| requires_python | >=3.4 |
| license | GPLv3 |
| keywords |
lca
simulation
sustainability
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# PyEcoSim
`PyEcoSim` performs a comprehensive Life Cycle Assessment (LCA) calculation. By default, it includes pre-installed data, such as life cycle inventories and two environmental impact calculation methods. It offers flexibility to add other calculation methods and inventories, enabling complete customization of the LCA to suit specific needs for simulating or optimizing processes with environmental criteria.
Raw data
{
"_id": null,
"home_page": "",
"name": "pyecosim",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.4",
"maintainer_email": "",
"keywords": "LCA,simulation,sustainability",
"author": "Hedi ROMDHANA",
"author_email": "hedi.romdhana@agroparistech.fr",
"download_url": "",
"platform": null,
"description": "# PyEcoSim\n`PyEcoSim` performs a comprehensive Life Cycle Assessment (LCA) calculation. By default, it includes pre-installed data, such as life cycle inventories and two environmental impact calculation methods. It offers flexibility to add other calculation methods and inventories, enabling complete customization of the LCA to suit specific needs for simulating or optimizing processes with environmental criteria. \n",
"bugtrack_url": null,
"license": "GPLv3",
"summary": "Python-based Eco-friendly Simulation and Lifecycle Assessment Model",
"version": "0.0.0",
"project_urls": null,
"split_keywords": [
"lca",
"simulation",
"sustainability"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "16ea91be0a46e622eb61a85106797b2184c9cb5937c43eeb3f7ddd1d41726e3c",
"md5": "a4bebcd393d584bf533a008f3c9736e4",
"sha256": "85e36d3fb2ff0a75dc8d529bbfd8413c7c269e6b8e9a7612ec889cf7a1336920"
},
"downloads": -1,
"filename": "pyecosim-0.0.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "a4bebcd393d584bf533a008f3c9736e4",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.4",
"size": 5667,
"upload_time": "2023-08-06T19:12:31",
"upload_time_iso_8601": "2023-08-06T19:12:31.103722Z",
"url": "https://files.pythonhosted.org/packages/16/ea/91be0a46e622eb61a85106797b2184c9cb5937c43eeb3f7ddd1d41726e3c/pyecosim-0.0.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-08-06 19:12:31",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "pyecosim"
}
