Orange3 3.23.0

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 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 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

# Install Qt dependencies for the GUI pip install PyQt5 PyQtWebEngine

# Install Orange pip install orange3

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.