Metadata-Version: 2.1
Name: hidebound
Version: 0.6.4
Summary: A local database service for converting directories of arbitrary files into validated assets and derived JSON metadata.
Home-page: https://github.com/theNewFlesh/hidebound
Author: Alex Braun
Author-email: Alexander.G.Braun@gmail.com
License: MIT
Download-URL: https://github.com/theNewFlesh/hidebound/archive/0.6.4.tar.gz
Description: # Hidebound
        A local database service for converting directories of arbitrary files into validated assets and derived metadata for export to databases like AWS S3 and MongoDB.
        
        See **[documentation](https://thenewflesh.github.io/hidebound/)** for details.
        
        # Installation
        `pip install hidebound`
        
        # For Developers
        ## Installation
        1. Install [docker](https://docs.docker.com/v17.09/engine/installation)
        2. Install [docker-machine](https://docs.docker.com/machine/install-machine)
           (if running on macOS or Windows)
        3. Ensure docker-machine has at least 4 GB of memory allocated to it.
        4. `cd hidebound`
        5. `chmod +x bin/hidebound`
        6. `bin/hidebound start`
        
        The service should take a few minutes to start up.
        
        Run `bin/hidebound --help` for more help on the command line tool.
        
Keywords: asset,project,data,json,database,datastore,flask,service
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Provides-Extra: dev
