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 the Python programming language.
This is a development version of Orange 3. The stable version 2.7 is still available (binaries and sources).
Installing
This version of Orange requires Python 3.4 or newer. To build it and install it in a development environment, run:
# Create a separate Python environment for Orange and its dependencies,
# and make it the active one
virtualenv --python=python3 --system-site-packages orange3venv
source orange3venv/bin/activate
# Install the minimum required dependencies first
pip install numpy
pip install scipy
pip install -r requirements-core.txt # For Orange Python library
pip install -r requirements-gui.txt # For Orange GUI
pip install -r requirements-sql.txt # To use SQL support
pip install -r requirements-opt.txt # Optional dependencies, may fail
# Finally install Orange in editable/development mode.
pip install -e .
Installation of SciPy and qt-graph-helpers is sometimes challenging because of their non-python dependencies that have to be installed manually. More detailed, if mostly obsolete, guides for some platforms can be found in the wiki.
Starting Orange GUI
Orange GUI 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 the installed PyQt4.
To start Orange GUI from the command line, assuming it was successfully installed, run:
orange-canvas
# or
python3 -m Orange.canvas
Append --help for a list of program options.
Windows dev setup
Windows + GCC:
python setup.py build_ext --inplace --compile=mingw32