{"name":"py39-xraylarch","portdir":"python/py-xraylarch","version":"2025.2.2","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 an 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":false,"categories":["science","python"],"maintainers":[{"name":"joe.fowler","github":"joefowler","ports_count":98}],"variants":["wxgui","qtgui"],"dependencies":[{"type":"build","ports":["py39-wheel","py39-setuptools","py39-setuptools_scm","clang-18","py39-build","py39-installer"]},{"type":"lib","ports":["python39"]},{"type":"run","ports":["py39-matplotlib","py39-numdifftools","py39-numexpr","py39-numpy","py39-packaging","py39-psutil","py39-requests","py39-scikit-image","py39-scikit-learn","py39-scipy","py39-sqlalchemy","py39-tabulate","py39-termcolor","py39-toml","py39-uncertainties","py39-wxpython-4.0","py39-yaml","py39-charset-normalizer","py39-fabio","py39-xraydb","py39-pymatgen","py39-pyshortcuts","py39-hdf5plugin","py39-wxmplot","py39-wxutils","py39-pyFAI","py39-mp-api","py39-pycifrw","py39-sqlalchemy-utils","py39-darkdetect","py39-larixite","py39-silx","py39-Pillow","py39-asteval","py39-dill","py39-h5py","py39-imageio","py39-lmfit"]}],"depends_on":[]}