Metadata-Version: 2.1
Name: hybridvut
Version: 0.1.4
Summary: hybridvut is a tool to carry out hybrid LCA/IObased on the make and use framework
Home-page: https://gitlab.com/exiobase/hybridvut
Author: Maik Budzinski
Author-email: maik.budzinski@gmx.de
License: GNU GPLv3
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Utilities
Requires-Python: >=3.9.0
Description-Content-Type: text/markdown
License-File: LICENSE

# hybridvut

This package provides functionalities to deal with hybrid IO-LCA based on the Make and Use framework.

Key features are:
* hybridization of a foreground and a background system
* unit handling using [iam_units](https://github.com/IAMconsortium/units) ([pint](https://pint.readthedocs.io/en/stable/) units)
* functions for data handling (e.g. region aggregation, RAS)
* basic IO calculations (e.g. transaction and multiplier matrices)
* preprocessing to bring raw data into the right format (i.e. message-ix data)

Additional hybridization procedures might be implemented in future work. Furthermore, functions can be also applied just to a single system.


## Installation

hybridvut is registered at PyPI. You can install it in your pathon environmnet by:

```bash
pip install hybridvut

```

The source-code is available as a [GitLab repository](https://gitlab.com/exiobase/hybridvut).
You can also fork and install it.

## Documentation

You can find a more detailed documentation [here](https://exiobase.gitlab.io/hybridvut/).
 



