Orange, a component-based data mining framework.
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[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]).
This version of Orange requires Python 3.4 or newer. To build it and install it in a development environment, run:
# Install some build requirements via your system’s package manager sudo apt-get install virtualenv git build-essential
# Also install Qt dependencies for the GUI sudo apt-get install python3-pyqt4 # or if python version is >= 3.5 # pip install pyqt5
# Create a separate Python environment for Orange and its dependencies … virtualenv –python=python3 –system-site-packages orange3venv # … and make it the active one source orange3venv/bin/activate
# Clone the repository and move into it git clone https://github.com/biolab/orange3.git cd orange3
# Install the minimum required dependencies first 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].
First, install [Anaconda] for your OS (Python version 3.5+). Create virtual environment for Orange:
conda create python=3 –name orange3
In your Anaconda Prompt add conda-forge to your channels:
conda config –add channels conda-forge
This will enable access to the latest Orange release. Then install Orange3:
conda install orange3
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.
If you’re running Orange with PyQt5 or if you have multiple PyQt versions available, set the environmental variable QT_API to the PyQt version to use, e.g.:
export QT_API=pyqt5 orange-canvas
Compiling on Windows
Get appropriate wheels for missing libraries. You will need [numpy+mkl] and [scipy].
Install them with
pip install some-wheel.whl
Install [Visual Studio compiler]. Then go to Orange3 folder and run:
[Visual Studio compiler]: http://landinghub.visualstudio.com/visual-cpp-build-tools
python setup.py build_ext -i –compiler=msvc install
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.