Skip to content
forked from iiasa/ixmp

The ix modeling platform for integrated and cross-cutting scenario analysis

License

Notifications You must be signed in to change notification settings

Haoyran-Wuu/ixmp

 
 

Repository files navigation

ixmp: the ix modeling platform

DOI PyPI version Anaconda version Documentation build Build status Test coverage

The ix modeling platform (ixmp) is a data warehouse for high-powered scenario analysis, with interfaces to Python and R for efficient scientific workflows and effective data pre- and post-processing, and a structured database backend for version-controlled data management. In the name, “ix” stands for “integrated” and “cross (x) cutting”.

The MESSAGEix modeling framework is built on top of the ix modeling platform.

This repository contains the core and application programming interfaces (API) for the ix modeling platform (ixmp), as well as a number of tutorials and examples for a generic model instance based on Dantzig's transport problem.

Documentation

Complete documentation of the ixmp API is available for current and past versions at: https://docs.messageix.org/ixmp/. This includes:

Other forms of documentation:

  • The online documentation is built automatically from the contents of the ixmp GitHub repository.
  • For documentation of a specific release, e.g. v3.2.0, use the chooser in the bottom sidebar.
  • For offline use, the documentation can be built from the source code. See doc/README.rst for further details.
  • The MESSAGEix API documentation links to the ixmp documentation in many places, for convenience.

License

Copyright © 2017–2023 IIASA Energy, Climate, and Environment (ECE) program

ixmp is licensed under the Apache License, Version 2.0 (the "License"); you may not use the files in this repository except in compliance with the License. You may obtain a copy of the License in LICENSE or at https://www.apache.org/licenses/LICENSE-2.0.

About

The ix modeling platform for integrated and cross-cutting scenario analysis

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 87.6%
  • Jupyter Notebook 9.6%
  • GAMS 1.3%
  • R 1.2%
  • Other 0.3%