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).
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 install virtualenv git build-essential python3-dev
# 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 Qt dependencies for the GUI
pip install PyQt5
# Of if Python <= 3.4 and/or with package manager
# sudo apt install python3-pyqt4
# Install other minimum required dependencies
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
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
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:
python setup.py build_ext -i --compiler=msvc install