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 3

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).

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 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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  • 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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Release history Release notifications | RSS feed

3.37.0

3.36.2

3.36.1

3.36.0

3.35.0

3.34.1

3.34.0

3.33.0

3.32.0

3.31.1

3.31.0

3.30.2

This version

3.30.1

3.30.0

3.29.3

3.29.2

3.29.1

3.29.0 yanked

3.28.0

3.27.1

3.27.0

3.26.0

3.25.1

3.25.0

3.24.1

3.24.0

3.23.1

3.23.0

3.22.0

3.21.0

3.20.1

3.20.0

3.19.0

3.18.0

3.17.0

3.16.0

3.15.0

3.14.0

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3.9.1

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3.7.1

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3.4.3

3.4.2

3.4.1

3.4.0

3.3.12

3.3.11

3.3.10

3.3.9

3.3.8

3.3.7

3.3.6

3.3.5

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  • Download URL: Orange3-3.30.1-cp36-cp36m-macosx_10_6_intel.whl
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  • Size: 26.5 MB
  • Tags: CPython 3.6m, macOS 10.6+ intel
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10

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