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Orange, a component-based data mining framework.

Project description

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.


To build and install Orange run:

python build
python install

from the command line. You can customize the build process by editing the setup-site.cfg file in this directory (see the comments in that file for instructions on how to do that).

Running tests

After Orange is installed, you can check if everything is working OK by running the included tests:

python test

This command runs all the unit tests and documentation examples. Some of the latter have additional dependencies you can satisfy by installing matplotlib, PIL and scipy.

Starting Orange Canvas

Start orange canvas from the command line with:


Installation for Developers

To install in development mode run:

python develop

Project details

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Filename, size & hash SHA256 hash help File type Python version Upload date
Orange-2.7.3-cp27-none-macosx_10_6_intel.whl (16.5 MB) Copy SHA256 hash SHA256 Wheel 2.7 May 8, 2014
Orange-2.7.3-cp27-none-win32.whl (6.9 MB) Copy SHA256 hash SHA256 Wheel 2.7 May 8, 2014
Orange-2.7.3-py2.7-win32.egg (6.8 MB) Copy SHA256 hash SHA256 Egg 2.7 May 8, 2014
Orange-2.7.3.tar.gz (14.4 MB) Copy SHA256 hash SHA256 Source None May 8, 2014
Orange-2.7.3.win32-py2.7.exe (7.0 MB) Copy SHA256 hash SHA256 Windows Installer 2.7 May 8, 2014 (15.7 MB) Copy SHA256 hash SHA256 Source None May 8, 2014

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