Metadata-Version: 1.1
Name: metrique
Version: 0.3.1-2
Summary: Metrique - Client Libraries
Home-page: https://github.com/kejbaly2/metrique
Author: Chris Ward
Author-email: cward@redhat.com
License: GPLv3
Download-URL: https://github.com/kejbaly2/metrique/archive/master.zip
Description: .. image:: static/src/metrique_logo.png
           :target: https://github.com/kejbaly2/metrique
        
        Metrique
        ========
        
        .. image:: https://travis-ci.org/kejbaly2/metrique.png
           :target: https://travis-ci.org/kejbaly2/metrique
        
        .. image:: https://badge.fury.io/py/metrique.png
           :target: http://badge.fury.io/py/metrique
        
        .. image:: https://pypip.in/d/metrique/badge.png
           :target: https://crate.io/packages/metrique
        
        .. image:: https://d2weczhvl823v0.cloudfront.net/kejbaly2/metrique/trend.png
           :target: https://d2weczhvl823v0.cloudfront.net/kejbaly2/metrique
        
        .. image:: https://coveralls.io/repos/kejbaly2/metrique/badge.png 
           :target: https://coveralls.io/r/kejbaly2/metrique
        
        Python Data Warehouse and Information Platform
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        metrique provides a simple python API to support
        ETL workloads for extracting data from disperate sources, 
        iteratively, rapidly and reproducibly, with transparent,
        historical object persistence and tight clientside 
        integration with popular python scientific computing libraries 
        to faciliate creation and publication of a wide variety of analysis 
        and reports, large and small. 
        
        Backends currently supported are as follows:
         * PostgreSQL (sqlalchemy)
         * SQLite (sqlalchemy)
         * MongoDB (pymongo)
        
        **Author:** "Chris Ward" <cward@redhat.com>
        **Sources:** https://github.com/kejbaly2/metrique
        
        
        Quick Install (auto-deploy -> virtenv)
        --------------------------------------
        
        The instructions given below assume fedora rpm package names::
        
            # prerequisite *os* packages
            sudo yum install python python-devel python-setuptools python-pip
            sudo yum install openssl git gcc gcc-c++ gcc-gfortran
            sudo yum install freetype-devel libpng-devel # matplotlib deps
        
            # optional MongoDB
            sudo yum install postgresql postgresql-devel postgresql-server
            # optional PostgreSQL
            sudo yum install mongodb mongodb-server
        
            # make sure our core package managers are up2date
            sudo pip install -U distribute setuptools
        
            # our installation directory should always be a py virtualenv
            sudo pip install virtualenv
        
            # get metrique sources
            git clone https://github.com/kejbaly2/metrique.git
            cd metrique
        
            # deploy metrique master branch into a virtual environment,
            # including dependencies. 
            # NOTE this can take ~5-10 minutes to compile everything from source!
            ./metrique.py -V ~/metrique.master deploy --all --develop
        
            # activate the virtual environment
            source ~/metrique.master/bin/activate
        
            ./metrique.py firstboot metrique
        
            # optional: setup default postgresql environment and start
            ./metrique.py firstboot postgresql
            # optional: edit ~/.metrique/postgresql_db/*.conf
            ./metrique.py postgresql start
        
            # optional: setup default mongodb environment and start
            ./metrique.py firstboot mongodb
            ./metrique.py mongodb start
        
            # launch ipython and start mining!
        
Keywords: data,mining,information,mongo,etl,analysis,search,query
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 2 :: Only
Classifier: Topic :: Database
Classifier: Topic :: Office/Business
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Utilities
Requires: anyconfig
Requires: decorator
Requires: lockfile
Requires: python_dateutil
Requires: pytzsimplejson
Requires: sqlalchemy (>=0.9.4)
Requires: virtualenv (>=1.11)
Provides: metrique
