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Orange, a component-based data mining framework.

Project description

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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 the latest version of Orange (for Python 3). The deprecated version of Orange 2.7 (for Python 2.7) is still available ([binaries] and [sources]).

[Orange]: https://orange.biolab.si/ [binaries]: https://orange.biolab.si/orange2/ [sources]: https://github.com/biolab/orange

Installing with Miniconda / Anaconda

Orange requires Python 3.6 or newer.

First, install [Miniconda] for your OS. 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

[Miniconda]: https://docs.conda.io/en/latest/miniconda.html

To install the add-ons, follow a similar recipe:

conda install orange3-<addon name>

See specific add-on repositories for details.

Installing with pip

To install Orange with pip, run the following.

# 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

# 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].

[wiki]: https://github.com/biolab/orange3/wiki

### Missing WebKit/WebEngine

Some distributions of PyQt5 come without WebKit or WebEngine, required by some add-ons and for reporting. Running pip install PyQtWebEngine may solve this issue.

Starting Orange GUI

To start Orange GUI from the command line, run:

orange-canvas # or python3 -m Orange.canvas

Append –help for a list of program options.

Compiling on Windows

Get appropriate wheels for missing libraries. You will need [numpy+mkl] and [scipy].

[numpy+mkl]: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy [scipy]: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy

Install them with

pip install <wheel name>.whl

Install [Visual Studio compiler]. Then go to Orange3 folder and run:

[Visual Studio compiler]: https://developer.microsoft.com/en-us/windows/downloads

python setup.py build_ext -i –compiler=msvc install

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