{ "info": { "author": "IIASA Energy Program", "author_email": "message_ix@iiasa.ac.at", "bugtrack_url": null, "classifiers": [], "description": "# The ix modeling platform (ixmp)\n\n## Overview\n\nThe ix modeling platform (ixmp) is a data warehouse for high-powered scenario\nanalysis, with interfaces to Python and R for efficient scientific workflows and\neffective data pre- and post-processing, and a structured database backend for\nversion-controlled data management.\n\nThis repository contains the core and application programming interfaces (API)\nfor the ix modeling platform (ixmp), as well as a number of tutorials and\nexamples for a generic model instance based on Dantzig's transport problem.\n\n\n## License\n\nCopyright \u00a9 2017\u20132019 IIASA Energy Program\n\nThe platform package is licensed under the Apache License, Version 2.0 (the\n\"License\"); you may not use the files in this repository except in compliance\nwith the License. You may obtain a copy of the License at\n.\n\nPlease refer to the [NOTICE](NOTICE.rst) for details and user guidelines.\n\n\n## Getting started\n\n### Documentation\n\nDocumentation of ixmp and the MESSAGEix framework is available in two forms:\n\n- The [MESSAGEix framework documentation](https://message.iiasa.ac.at/)\n includes documentation of the\n [ixmp Python API](http://message.iiasa.ac.at/en/stable/api/ixmp.html), which\n is extended by the framework.\n- The [stand-alone ixmp\n documentation](https://message.iiasa.ac.at/projects/ixmp/) contains\n additional information on installing ixmp from source, the R API, etc.\n\nThe online documentation is built automatically from the contents of the\n[ixmp Github repository](https://github.com/iiasa/ixmp).\n\nFor offline use, the documentation can be built from the source code.\nSee [`doc/README.rst`](doc/README.rst) for further details.\n\n\n### Installation\n\nMost users will have ixmp installed automatically as a dependency when\n[installing MESSAGEix](https://message.iiasa.ac.at/en/stable/getting_started.html).\n\nTo install the ixmp R API, or to install ixmp from source code, see\n[\u2018Installation\u2019 in the documentation](https://message.iiasa.ac.at/projects/ixmp/en/stable/install.html).\n\n\n### Tutorials\n\nIntroductory tutorials are provided in both Python and R.\nSee [\u2018Tutorials\u2019 in the documentation](https://message.iiasa.ac.at/projects/ixmp/en/stable/tutorials.html) or [`tutorial/README.rst`](tutorial/README.rst).\n\n\n## Scientific reference\n\nPlease cite the following manuscript when using the MESSAGEix framework and/or\nthe ix modeling platform for scientific publications or technical reports:\n\n> Daniel Huppmann, Matthew Gidden, Oliver Fricko, Peter Kolp, Clara Orthofer,\n Michael Pimmer, Nikolay Kushin, Adriano Vinca, Alessio Mastrucci,\n Keywan Riahi, and Volker Krey.\n \"The |MESSAGEix| Integrated Assessment Model and the ix modeling platform\".\n *Environmental Modelling & Software* 112:143-156, 2019.\n doi: [10.1016/j.envsoft.2018.11.012](https://doi.org/10.1016/j.envsoft.2018.11.012)\n electronic pre-print available at\n [pure.iiasa.ac.at/15157/](https://pure.iiasa.ac.at/15157/)\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/iiasa/ixmp", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "ixmp", "package_url": "https://pypi.org/project/ixmp/", "platform": "", "project_url": "https://pypi.org/project/ixmp/", "project_urls": { "Homepage": "https://github.com/iiasa/ixmp" }, "release_url": "https://pypi.org/project/ixmp/0.2.0/", "requires_dist": [ "JPype1 (>=0.6.2)", "PyYAML", "click", "dask[array]", "graphviz", "pandas", "pint", "xarray (<0.12)", "xlrd", "xlsxwriter", "numpydoc ; extra == 'docs'", "sphinx ; extra == 'docs'", "sphinx-rtd-theme ; extra == 'docs'", "sphinxcontrib-bibtex ; extra == 'docs'", "jupyter ; extra == 'tests'", "pytest (>=3.9) ; extra == 'tests'", "jupyter ; extra == 'tutorial'" ], "requires_python": "", "summary": "ix modeling platform", "version": "0.2.0" }, "last_serial": 5445762, "releases": { "0.2.0": [ { "comment_text": "", "digests": { "md5": "9f706590230c64c21523cd4c72fe639d", "sha256": "d8d6ffc910a084b14d4a45e84ae8930cc7d48a812f1ac0722410060a26f1f071" }, "downloads": -1, "filename": "ixmp-0.2.0-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "9f706590230c64c21523cd4c72fe639d", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 9560493, "upload_time": "2019-06-25T08:28:47", "url": "https://files.pythonhosted.org/packages/a6/68/cf2550517e782e2366bcaa598ffc55eea92806d435aeab3095ef19243a9f/ixmp-0.2.0-py2.py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "9f706590230c64c21523cd4c72fe639d", "sha256": "d8d6ffc910a084b14d4a45e84ae8930cc7d48a812f1ac0722410060a26f1f071" }, "downloads": -1, "filename": "ixmp-0.2.0-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "9f706590230c64c21523cd4c72fe639d", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 9560493, "upload_time": "2019-06-25T08:28:47", "url": "https://files.pythonhosted.org/packages/a6/68/cf2550517e782e2366bcaa598ffc55eea92806d435aeab3095ef19243a9f/ixmp-0.2.0-py2.py3-none-any.whl" } ] }