Metadata-Version: 1.1
Name: Orange-Shadow
Version: 1.0
Summary: Shadow, Ray-tracing simulation software
Home-page: http://orange.biolab.si/
Author: Luca Rebuffi, Manuel Sanchez del Rio and Bioinformatics Laboratory, FRI UL
Author-email: luca.rebuffi@elettra.eu
License: GPLv3
Download-URL: http://github.com/lucarebuffi/Orange-Shadow
Description: Orange
        ======
        
        Orange is a component-based data mining software. It includes a range of data
        visualization, exploration, preprocessing and modeling techniques. It can be
        used through a nice and intuitive user interface or, for more advanced users,
        as a module for Python programming language.
        
        This is an early development version of Orange 3.0. The current stable version
        2.7 is available on http://orange.biolab.si (binaries) and
        https://bitbucket.org/biolab/orange (sources).
        
        Installing
        ----------
        
        This version of Orange requires Python 3.2 or newer. To build it, run::
        
            pip install numpy
            pip install -r requirements.txt
            python setup.py develop
        
        inside a virtual environment that uses Python 3.2.
        
        Installation of Scipy and qt-graph-helpers is sometimes challenging because of
        their non-python dependencies that have to be installed manually. Detailed
        guides for some platforms can be found on wiki
        (https://github.com/biolab/orange3/wiki).
        
        Starting Orange Canvas
        ----------------------
        
        Orange Canvas requires PyQt, which is not pip-installable in Python 3. You
        have to download and install it system-wide. Make sure that the virtual
        environment for orange is created with --system-site-packages, so it will have
        access to installed PyQt4.
        
        To start orange canvas from the command line, run::
        
             python3 -m Orange.canvas
        
        Windows dev setup
        -----------------
        
        Windows + gcc:
        	python setup.py build_ext -i --compile=mingw32
        
Keywords: data mining,machine learning,artificial intelligence,oasys
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: X11 Applications :: Qt
Classifier: Environment :: Console
Classifier: Environment :: Plugins
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Intended Audience :: Science/Research
