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Crystal structures and clusters of atoms for X-ray absorption spectroscopy.
The main purpose of larixite is to provide a Python package for using crystallographic data or calculated clusters of atoms to generate inputs for X-ray absorption spectroscopy and other scientific disciplines that use non-crystalline clusters of atoms.
This project includes:
Either install from PyPI with
> pip install larixite
Download and unpack this code and install with
> pip install .
Larixite has been in rapid development, but is also a spin-off from code that has been in Xraylarch for many years. That is, while many parts of the code are moving rapidly, much of the code is reasonably stable.
The Larixite Web App can be run locally for debugging or for local deployment. To do this, install the extra wed dependencies (essentially only Flask is needed) with
> pip install ".[web]"
and run the script "run_local.py" with
> python run_local.py
will launch a local web server with the app running at http://127.0.0.1:11564/
FAQs
convert CIF data to inputs for XAS calculations Feff, FDMNES, etc
We found that larixite demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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