Metadata-Version: 1.1
Name: BoxKit
Version: 0.1
Summary: BoxKit Utility
Home-page: UNKNOWN
Author: Akash Dhruv
Author-email: UNKNOWN
License: MIT License
Description: BoxKit
        =========
        
        |Code style: black|
        
        |FlashX| |FlowX| |Minimal| |Publish|
        
        Introduction
        ------------
        
        BoxKit is a library that provides building blocks to parallelize and
        scale data science, high performance computing, and machine learning
        applications
        
        Installation
        ------------
        
        Installation instructions
        
        Using Containers
        ----------------
        
        Description for using MAPLE containers
        
        Examples
        --------
        
        Example tests/scripts
        
        .. |Code style: black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
           :target: https://github.com/psf/black
        .. |FlashX| image:: https://github.com/akashdhruv/BoxKit/workflows/FlashX/badge.svg
        .. |FlowX| image:: https://github.com/akashdhruv/BoxKit/workflows/FlowX/badge.svg
        .. |Minimal| image:: https://github.com/akashdhruv/BoxKit/workflows/Minimal/badge.svg
        .. |Publish| image:: https://github.com/akashdhruv/BoxKit/workflows/Publish/badge.svg
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
