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integrated spreadsheet from michael, tommaso, martin, and ralph, added...

Merged Markus Kuehbach requested to merge tool-lists-b2-to-b4 into develop
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# Angle-resolved spectroscopy
# Angle-resolved spectroscopy<br>
<table style="width:100%"><br>
<tr><br>
<th>ToolName</th><br>
<th>Link</th><br>
<th>License</th><br>
<th>Importance</th><br>
<th>Description</th><br>
<th>Category</th><br>
<th>Python?</th><br>
<th>Matlab?</th><br>
<th>R?</th><br>
<th>C/C++?</th><br>
<th>OtherLanguage?</th><br>
<th>VersionToStartWith</th><br>
<th>SupportedOS</th><br>
<th>MostImportantUserInterfaceStyle</th><br>
<th>Dependencies</th><br>
<th>Visualization</th><br>
</tr><br>
<tr><br>
<th>pyARPES</th><th><a href="https://github.com/chstan/arpes" target="_top">https://github.com/chstan/arpes</a></th><th>Open</th><th>1</th><th>Python Package for handling ARPES, trARPES and spinARPES data, based on xarray. Can load NeXus (functionality currently limited). Jupyter friendly. GUI interface easy, both on Qt and Bokeh.</th><th>Analysis</th><th>x</th><th></th><th></th><th></th><th></th><th>3.0.1</th><th>All, through anaconda</th><th>Jupyter notebook with interactive widgets</th><th>n/a</th><th>Python</th></tr><br>
<tr><br>
<th>snomtools</th><th><a href="https://github.com/hartelt/snomtools " target="_top">https://github.com/hartelt/snomtools </a></th><th>Open (GPL)</th><th>2</th><th>Python Package for data handling and evaluation tools, especially for large nD data with HDF5 backend, NeXus adaption planned. Universally applicable, some special routines for ARPES/MPES</th><th>Analysis</th><th>x</th><th></th><th></th><th></th><th></th><th>(no proper deployment yet, used from source alongside ongoing development)</th><th>Linux, Windows (both supported and tested)</th><th>Code (Python modules imported and used in scripts/notebooks)</th><th>n/a</th><th>Matplotlib</th></tr><br>
<tr><br>
<th>mpes-kit</th><th><a href="https://github.com/mpes-kit" target="_top">https://github.com/mpes-kit</a></th><th>Open</th><th>2</th><th>Set of software packages for the preprocessing and analysis of multidimensional photoemission data in tabular form. Data format is h5. Jupyter notebook friendly.</th><th>Preprocessing, Analysis</th><th>x</th><th></th><th></th><th></th><th></th><th>MPES 1.1.2, PESFIT 0.7.0, FULLER 0.9.9, MCLAHE 1.1</th><th>All, through anaconda</th><th>Jupyter notebook with interactive widgets</th><th>n/a</th><th>Python</th></tr><br>
<tr><br>
<th>Igor Pro</th><th><a href="https://www.wavemetrics.com/" target="_top">https://www.wavemetrics.com/</a></th><th>Proprietary</th><th>2</th><th>Proprietary software used in electron spectroscopy since a very long time. A lot of groups (or even individuals) have their own set of routines that they can freely exchange. Can interfac with instruments.</th><th>Acquisition, Analysis</th><th></th><th></th><th></th><th></th><th>?</th><th>?</th><th>Windows, MacOS (better)</th><th>Code and GUI hybrid</th><th>n/a</th><th>?</th></tr><br>
<tr><br>
<th>PESA</th><th><a href="https://gitlab.rlp.net/ag_aeschlimann/chamber6/PESA " target="_top">https://gitlab.rlp.net/ag_aeschlimann/chamber6/PESA </a></th><th>None (internal)</th><th>3</th><th>Matlab Software, “Photo Emission Spectroscopy Analyzer”. Tools for common evaluation routines and visualization of ARPES/MPES data, partly controlled with GUI.</th><th>Analysis</th><th></th><th>x</th><th></th><th></th><th></th><th>(no proper deployment, used from source alongside ongoing development)</th><th>Windows</th><th>Code (Matlab classes and methods used in scripts)</th><th>n/a</th><th>Matlab-based visualization</th></tr><br>
<tr><br>
<th>momentoscope</th><th><a href="https://github.com/momentoscope" target="_top">https://github.com/momentoscope</a></th><th>Open</th><th>3</th><th>Set of software packages for the preprocessing and analysis of multidimensional photoemission data in tabular form from FLASH @ Hamburg. Data format is h5. Jupyter notebook friendly.</th><th>Preprocessing</th><th>x</th><th></th><th></th><th></th><th></th><th>HEXTOF-PROCESSOR 1.0.4</th><th>All, through anaconda</th><th>Jupyter notebook with interactive widgets</th><th>n/a</th><th>Python</th></tr><br>
</table><br>
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