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https://img.shields.io/pypi/v/pyTEMlib.svg\n    :target: https://pypi.org/project/pyTEMlib/\n    :alt: PyPI\n    \n.. image:: https://img.shields.io/conda/vn/conda-forge/pyTEMlib.svg\n    :target: https://github.com/conda-forge/pyTEMlib-feedstock\n    :alt: conda-forge\n\n.. image:: https://codecov.io/gh/pycroscopy/pyTEMlib/branch/master/graph/badge.svg?token=\n    :target: https://codecov.io/gh/pycroscopy/pyTEMlib\n    :alt: CodeCov\n\n.. image:: https://img.shields.io/pypi/l/pyTEMlib.svg\n    :target: https://pypi.org/project/pyTEMlib/\n    :alt: License\n\n.. image:: http://pepy.tech/badge/pyTEMlib\n    :target: http://pepy.tech/project/pyTEMlib\n    :alt: Downloads\n\n.. image:: https://zenodo.org/badge/138171750.svg\n   :target: https://zenodo.org/badge/latestdoi/138171750\n   :alt: DOI\n\npyTEMlib is a package to read and process various kind of data acquired with a (scanning) transmission electron microscope (STEM).\n\nThe package is written in pure python and depends on various other libraries.\n\nAll data, user input, and results are stored as `NSID-formatted \u003chttps://pycroscopy.github.io/pyNSID/nsid.html\u003e`_ HDF5 files.\n\nThe data are all presented as `sidpy.Dataset \u003chttps://pycroscopy.github.io/sidpy/notebooks/00_basic_usage/create_dataset.html\u003e`_ objects\n\nInstall pyTEMlib via pip as:\n\n``python3 -m pip install pyTEMlib``\n\nor via conda:\n\n``conda install pyTEMlib -c conda-forge``\n\nThese installation options are also available in the `example notebooks \u003chttps://github.com/pycroscopy/pyTEMlib/notebooks\u003e`_\n\nThen run\n\n``python3 -m pycrosGUI.main``\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpycroscopy%2Fpycrosgui","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpycroscopy%2Fpycrosgui","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpycroscopy%2Fpycrosgui/lists"}