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{
"name": "py39-xraylarch",
"portdir": "python/py-xraylarch",
"version": "0.9.81",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://xraypy.github.io/xraylarch",
"description": "Larch is a system for analyzing X-ray data from synchrotron beamlines.",
"long_description": "Larch is a open-source library and set of applications for processing and analyzing X-ray absorption and fluorescence spectroscopy data and X-ray fluorescence and diffraction image data from synchrotron beamlines. It aims to be a complete analysis toolkit for X-ray absorption fine-structure spectroscopy (XAFS) including X-ray absorption near-edge spectroscopy (XANES) and extended X-ray absorption fine-structure spectroscopy (EXAFS). It also supports visualization and analysis tools for X-ray fluorescence (XRF) spectra and XRF and X-ray diffraction (XRD) images as collected at scanning X-ray microprobe beamlines.",
"active": true,
"categories": [
"science",
"python"
],
"maintainers": [
{
"name": "joe.fowler",
"github": "joefowler",
"ports_count": 88
}
],
"variants": [
"gui"
],
"dependencies": [
{
"type": "build",
"ports": [
"py39-wheel",
"py39-setuptools",
"py39-setuptools_scm",
"clang-17",
"py39-build",
"py39-installer"
]
},
{
"type": "lib",
"ports": [
"python39"
]
},
{
"type": "run",
"ports": [
"py39-matplotlib",
"py39-numdifftools",
"py39-numexpr",
"py39-numpy",
"py39-packaging",
"py39-pandas",
"py39-psutil",
"py39-pyqt5",
"py39-pyqt5-webengine",
"py39-pyqtgraph",
"py39-requests",
"py39-scikit-image",
"py39-scikit-learn",
"py39-scipy",
"py39-sqlalchemy",
"py39-tabulate",
"py39-termcolor",
"py39-toml",
"py39-uncertainties",
"py39-yaml",
"py39-fabio",
"py39-xraydb",
"py39-silx",
"py39-pymatgen",
"py39-pyshortcuts",
"py39-hdf5plugin",
"py39-pyFAI",
"py39-mp-api",
"py39-pycifrw",
"py39-sqlalchemy-utils",
"py39-charset-normalizer",
"py39-Pillow",
"py39-asteval",
"py39-dill",
"py39-h5py",
"py39-imageio",
"py39-lmfit"
]
}
],
"depends_on": []
}