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 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.
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