impacts-hpc


Nameimpacts-hpc JSON
Version 0.0.5 PyPI version JSON
download
home_pageNone
SummaryImpacts-HPC is a Python library designed to estimate the environmental impact of jobs on data centers
upload_time2025-08-08 09:26:42
maintainerNone
docs_urlNone
authorNone
requires_python>=3.12
licenseNone
keywords environmental impact green hpc green it data centers estimation co2 carbon footprint footprint lca irisa logica
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)

# ImpactHPC

ImpactHPC is a Python library designed to estimate the environmental impact of jobs on data centers. Its main features include:

- Providing explainable, sourced, and replicable results
- Uncertainty computation
- Support for different levels of precision in input data
- Multicriteria analysis (not fully supported yet)
- Whole lifecycle assessment (not fully supported yet)

The estimations provided by this library are approximate and not always accurate. Therefore, you should not rely solely on them; it is recommended to provide the explanations produced by the library along with the estimations.

Currently, it supports the estimation of usage impact (energy consumption and its impact) for the extraction, production, and distribution phases. The library computes the environmental impact based on three criteria: global warming potential (GWP, in gCO₂eq), abiotic resource depletion (ADPE, in gSbeq), and primary energy use (PE, in MJ).


## Documentation

See the [Documentation](https://impacthpc-cc8227.pages.in2p3.fr/index.html)

### OR

Build the doc :

```bash
make html
open docs/build/html/index.html
````

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "impacts-hpc",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.12",
    "maintainer_email": "Gael Guennebaud <gael.guennebaud@inria.fr>, Didier Mallarino <didier.mallarino@osupytheas.fr>, Marius Gar\u00e9naux Gruau <marius.garenaux-gruau@irisa.fr>",
    "keywords": "environmental impact, green, HPC, green it, data centers, estimation, CO2, carbon footprint, footprint, LCA, IRISA, LogicA",
    "author": null,
    "author_email": "Valentin Regnault <valentin.regnault@etudiant.univ-rennes.fr>, Gael Guennebaud <gael.guennebaud@inria.fr>, Didier Mallarino <didier.mallarino@osupytheas.fr>, Marius Gar\u00e9naux Gruau <marius.garenaux-gruau@irisa.fr>",
    "download_url": "https://files.pythonhosted.org/packages/0d/91/75130e7052e9a89f7e3ac9edf8d52d4967cc64b55581b1806f299304f5a7/impacts_hpc-0.0.5.tar.gz",
    "platform": null,
    "description": "[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)\n\n# ImpactHPC\n\nImpactHPC is a Python library designed to estimate the environmental impact of jobs on data centers. Its main features include:\n\n- Providing explainable, sourced, and replicable results\n- Uncertainty computation\n- Support for different levels of precision in input data\n- Multicriteria analysis (not fully supported yet)\n- Whole lifecycle assessment (not fully supported yet)\n\nThe estimations provided by this library are approximate and not always accurate. Therefore, you should not rely solely on them; it is recommended to provide the explanations produced by the library along with the estimations.\n\nCurrently, it supports the estimation of usage impact (energy consumption and its impact) for the extraction, production, and distribution phases. The library computes the environmental impact based on three criteria: global warming potential (GWP, in gCO\u2082eq), abiotic resource depletion (ADPE, in gSbeq), and primary energy use (PE, in MJ).\n\n\n## Documentation\n\nSee the [Documentation](https://impacthpc-cc8227.pages.in2p3.fr/index.html)\n\n### OR\n\nBuild the doc :\n\n```bash\nmake html\nopen docs/build/html/index.html\n````\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "Impacts-HPC is a Python library designed to estimate the environmental impact of jobs on data centers",
    "version": "0.0.5",
    "project_urls": {
        "Documentation": "https://impacthpc-cc8227.pages.in2p3.fr/index.html",
        "Repository": "https://gitlab.in2p3.fr/impacts-hpc/impacts-hpc"
    },
    "split_keywords": [
        "environmental impact",
        " green",
        " hpc",
        " green it",
        " data centers",
        " estimation",
        " co2",
        " carbon footprint",
        " footprint",
        " lca",
        " irisa",
        " logica"
    ],
    "urls": [
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "0d9175130e7052e9a89f7e3ac9edf8d52d4967cc64b55581b1806f299304f5a7",
                "md5": "d754f383f49530aeea1a0645a6e344ec",
                "sha256": "ae4ac50289be1dc75cf1f9fedf2c2f68fb3cd548601a2e1b67acf3ff303a1668"
            },
            "downloads": -1,
            "filename": "impacts_hpc-0.0.5.tar.gz",
            "has_sig": false,
            "md5_digest": "d754f383f49530aeea1a0645a6e344ec",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.12",
            "size": 211614,
            "upload_time": "2025-08-08T09:26:42",
            "upload_time_iso_8601": "2025-08-08T09:26:42.290310Z",
            "url": "https://files.pythonhosted.org/packages/0d/91/75130e7052e9a89f7e3ac9edf8d52d4967cc64b55581b1806f299304f5a7/impacts_hpc-0.0.5.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-08-08 09:26:42",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "impacts-hpc"
}
        
Elapsed time: 0.90583s