Metadata-Version: 2.1
Name: data-slicer
Version: 0.0.11
Summary: Tools for quick visualization of three dimensional datasets.
Home-page: https://github.com/kuadrat/data_slicer.git
Author: Kevin Kramer
Author-email: kevin.kramer@uzh.ch
License: UNKNOWN
Description: # Data slicer
        
        The `data-slicer` package offers fast 3D data visualization tools with plugin capabilites.
        
        ![](https://raw.githubusercontent.com/kuadrat/data_slicer/master/screenshots/pit_demo.gif)
        
        The package was developed to deal with the high data throughput of modern measurement 
        instruments, where quick visualizations and preliminary analyses are necessary to guide
        the direction of a measurement session.
        
        ## Documentation
        
        This README just gives a minimal overview.
        For more information, guides, examples and more, visit the documentation which is hosted 
        by the friendly people over at ReadTheDocs.org:
        https://data-slicer.readthedocs.io/en/latest/
        
        ## Installation
        
        `data-slicer` should run on all platforms that support python and has been 
        shown to run on Windows, macOS ans Linux.
        
        The package can be installed from [PyPI](https://pypi.org/project/data-slicer/) 
        using `pip install data_slicer`.
        It is recommended to do this from within some sort of virtual environment.
        Visit the documentation for more detailed instructions:
        https://data-slicer.readthedocs.io/en/latest/installation.html
        
        ## Contributing
        
        If you are familiar with the workflow on github, feel free to go ahead and create a pull
        request or open an issue.
        If you are unsure of what that means but are willing to contribute, contact Kevin Kramer
        via email: kevin.kramer@uzh.ch
        
        ### Plugins
        
        If you have created a PIT plugin, feel free to add it to the list below, 
        either via pull request or through an email (see above).
        
        | Plugin Name (link) | Description | 
        | ------------------ | ----------- |
        | [ds-arpes-plugin](https://www.pluralsight.com/guides/working-tables-github-markdown) | tools for angle-resolved photoelectron spectroscopy (ARPES) | 
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
