Metadata-Version: 1.1
Name: datreant.core
Version: 0.6.0
Summary: persistent, pythonic trees for heterogeneous data
Home-page: http://datreant.org/
Author: David Dotson
Author-email: dotsdl@gmail.com
License: BSD
Description: ===========================================================
        datreant: persistent, pythonic trees for heterogeneous data
        ===========================================================
        
        |docs| |build| |cov|
        
        In many fields of science, especially those analyzing experimental or
        simulation data, there is often an existing ecosystem of specialized tools and 
        file formats which new tools must work around, for better or worse.
        Furthermore, centralized database solutions may be suboptimal for data
        storage for a number of reasons, including insufficient hardware
        infrastructure, variety and heterogeneity of raw data, the need for data
        portability, etc. This is particularly the case for fields centered around
        simulation: simulation systems can vary widely in size, composition, rules,
        paramaters, and starting conditions. And with increases in computational power,
        it is often necessary to store intermediate results obtained from large amounts
        of simulation data so it can be accessed and explored interactively.
        
        These problems make data management difficult, and serve as a barrier to
        answering scientific questions. To make things easier, **datreant** is a Python
        package that addresses the tedious and time-consuming logistics of intermediate
        data storage and retrieval. It solves a boring problem, so we can focus on
        interesting ones.
        
        For more information on what **datreant** is and what it does, check out the
        `official documentation`_.
        
        .. _`official documentation`: http://datreant.readthedocs.org/
        
        Getting datreant
        ================
        See the `installation instructions`_ for installation details.
        The package itself is pure Python.
        
        If you want to work on the code, either for yourself or to contribute back to
        the project, clone the repository to your local machine with::
        
            git clone https://github.com/datreant/datreant.core.git
        
        .. _`installation instructions`: http://datreant.readthedocs.org/en/develop/install.html
        
        Contributing
        ============
        This project is still under heavy development, and there are certainly rough
        edges and bugs. Issues and pull requests welcome! 
        
        Check out our `contributor's guide`_ to learn how to get started with
        contributing back.
        
        .. _`contributor's guide`: http://datreant.readthedocs.org/en/develop/contributing.html
        
        .. |docs| image:: https://readthedocs.org/projects/datreant/badge/?version=develop
            :alt: Documentation Status
            :scale: 100%
            :target: http://datreant.readthedocs.org/en/develop/?badge=develop
        
        .. |build| image:: https://travis-ci.org/datreant/datreant.core.svg?branch=develop
            :alt: Build Status
            :target: https://travis-ci.org/datreant/datreant.core
        
        .. |cov| image:: http://codecov.io/github/datreant/datreant.core/coverage.svg?branch=develop
            :alt: Code Coverage
            :scale: 100%
            :target: http://codecov.io/github/datreant/datreant.core?branch=develop
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
