Tools for Materials science. Vis contains wrapers of matplotlib functionality to visualalize common material science data. Plus wrapers of visualisation for aiida-fleur workflow nodes
This is a collection of tools, common things used by packages of material science.
Feel free to contribute.
The code is hosted on GitHub at https://github.com/JuDFTteam/masci-tools
The documentation is hosted on https://masci-tools.readthedocs.io.
Most functionality was developed for the use with the DFT codes developed at the Forschungszentrum Jülich (see http://judft.de, https://flapw.de and https://jukkr.fz-juelich.de for further information on the codes) and in the context of the AiiDA plugins for the Fleur code and the KKR code.
pip install masci-tools
These python packages are needed:
It should not depend on
- Contains methods to write certain files
io.parsers: Contains parsers of certain code output or input files
- auto tests of
- auto tests of
- Contains rather low level utility
- Contains rather highlevel utility which is rather complete
- Contain a collection of matplotlib, pyplot, gnuplot methods used for ploting common results from material science simulations, e.g. bandsstructures, DOS, ...
masci-tools is distributed under the terms and conditions of the MIT license which is specified in the
Release history Release notifications
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size masci_tools-0.3.8-py2-none-any.whl (183.1 kB)||File type Wheel||Python version py2||Upload date||Hashes View hashes|
|Filename, size masci_tools-0.3.8.tar.gz (166.0 kB)||File type Source||Python version None||Upload date||Hashes View hashes|
Hashes for masci_tools-0.3.8-py2-none-any.whl