Orange, a component-based data mining framework.
Project description
Orange
======
[](https://travis-ci.org/biolab/orange3)
[](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
======
[](https://travis-ci.org/biolab/orange3)
[](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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