Orange, a component-based data mining framework.

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  • License: GNU General Public License v3 or later (GPLv3+) (GPLv3+)
  • Author: Bioinformatics Laboratory, FRI UL
  • Tags data mining, machine learning, artificial intelligence
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Project description

Orange
======

[![build: passing](https://img.shields.io/travis/biolab/orange3.svg)](https://travis-ci.org/biolab/orange3)
[![codecov](https://codecov.io/gh/biolab/orange3/branch/master/graph/badge.svg)](https://codecov.io/gh/biolab/orange3)

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


Installing
----------
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 python3-dev g++ gfortran \
libblas-dev liblapack-dev libatlas-base-dev

# Also install Qt dependencies for the GUI
sudo apt-get install python3-pyqt4

# Create a separate Python environment for Orange and its dependencies,
# and make it the active one
virtualenv --python=python3 --system-site-packages orange3venv
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 numpy
pip install scipy
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

Anaconda Installation
---------------------

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

[Anaconda]: https://www.continuum.io/downloads

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.


Windows dev setup
-----------------

Windows + GCC:

python setup.py build_ext --inplace --compile=mingw32


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  • License: GNU General Public License v3 or later (GPLv3+) (GPLv3+)
  • Author: Bioinformatics Laboratory, FRI UL
  • Tags data mining, machine learning, artificial intelligence
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3.37.0

3.36.2

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3.34.1

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