Skip to main content

Orange, a component-based data mining framework.

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Orange3-3.30.2.tar.gz (26.3 MB view details)

Uploaded Source

Built Distributions

Orange3-3.30.2-cp39-cp39-win_amd64.whl (26.4 MB view details)

Uploaded CPython 3.9 Windows x86-64

Orange3-3.30.2-cp39-cp39-win32.whl (26.4 MB view details)

Uploaded CPython 3.9 Windows x86

Orange3-3.30.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

Orange3-3.30.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (26.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

Orange3-3.30.2-cp39-cp39-macosx_10_9_x86_64.whl (26.5 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

Orange3-3.30.2-cp38-cp38-win_amd64.whl (26.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

Orange3-3.30.2-cp38-cp38-win32.whl (26.4 MB view details)

Uploaded CPython 3.8 Windows x86

Orange3-3.30.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

Orange3-3.30.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (26.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

Orange3-3.30.2-cp38-cp38-macosx_10_9_x86_64.whl (26.4 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

Orange3-3.30.2-cp37-cp37m-win_amd64.whl (26.4 MB view details)

Uploaded CPython 3.7m Windows x86-64

Orange3-3.30.2-cp37-cp37m-win32.whl (26.4 MB view details)

Uploaded CPython 3.7m Windows x86

Orange3-3.30.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

Orange3-3.30.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (26.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

Orange3-3.30.2-cp37-cp37m-macosx_10_6_intel.whl (27.0 MB view details)

Uploaded CPython 3.7m macOS 10.6+ intel

File details

Details for the file Orange3-3.30.2.tar.gz.

File metadata

  • Download URL: Orange3-3.30.2.tar.gz
  • Upload date:
  • Size: 26.3 MB
  • Tags: Source
  • 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

File hashes

Hashes for Orange3-3.30.2.tar.gz
Algorithm Hash digest
SHA256 6caa9888bbbf2a926d3a51418678d8e242ff4383bb7dd948fd690628a9d2eefa
MD5 f394297b1742cc2bd5b4d10205c684a3
BLAKE2b-256 efe0a3839dd284233f230af4650f22e1b539316fbc14741390e7d7db1126c5ad

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.30.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 26.4 MB
  • Tags: CPython 3.9, Windows x86-64
  • 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

File hashes

Hashes for Orange3-3.30.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 5ae8332df32ea8b7f98364c7b22858bbbbb5d2ea7efa70b02aadcc24d29a6998
MD5 1bc1214d27d0ad23a37bc84c4262bb77
BLAKE2b-256 a439993bd14fc577608ffc954e718558af9e918be4858d1e6d4a79eb9c86a61d

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp39-cp39-win32.whl.

File metadata

  • Download URL: Orange3-3.30.2-cp39-cp39-win32.whl
  • Upload date:
  • Size: 26.4 MB
  • Tags: CPython 3.9, Windows x86
  • 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

File hashes

Hashes for Orange3-3.30.2-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 5befa3bb7b2cc2c9d19d79253391bdc95244ad380273ab6cce254962f9bac401
MD5 91862cbb47ca4b26aa3718c0de8cbe43
BLAKE2b-256 e5458099c886c7b3b33fa381733cc668112cdce8b5e29ab94984c4cf43adc7e3

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for Orange3-3.30.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c1839f6c125c773e0f3168b6903c36d74e74f3adff344f20e4a5b2712c4c0278
MD5 548571e70931e017c00387644eeea503
BLAKE2b-256 455aa98f3b5f5f4362f91d9eea2485f22955f6d90b8101ea245fd74a47a0c5fc

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for Orange3-3.30.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6ac3e20d8c65ad5ed951a3c7c902aac2a6a26fbccfdd4c83a096ba3606c260be
MD5 8c648dffd041087b9998b94d815d0dbe
BLAKE2b-256 00d41da73b8c65f9f3cac7d87e85ee0f66957eaaba51bafab186bc1ea789e6fe

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: Orange3-3.30.2-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 26.5 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • 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

File hashes

Hashes for Orange3-3.30.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 52f66bf4407d84639587f6d8c6eec181f2b80aaf08e2249b00dcc1d7ebcd8ad9
MD5 f97bc915f4fb634bc82e727544046066
BLAKE2b-256 edbcfd88e60235c224afe5ff26e8148831b3edb275e71e303c0a2eb05a2c9fab

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.30.2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 26.4 MB
  • Tags: CPython 3.8, Windows x86-64
  • 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

File hashes

Hashes for Orange3-3.30.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 869a122e0ceb790c62e7a74ae1f6499cf6d0cedcbe03075cd30606cf4d0f769b
MD5 8f87a4cdb529a5370d12d0e9d2010239
BLAKE2b-256 daceb8deb937e2f185a1a395418100820c299ae1ad65d3844f69da90597059b0

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp38-cp38-win32.whl.

File metadata

  • Download URL: Orange3-3.30.2-cp38-cp38-win32.whl
  • Upload date:
  • Size: 26.4 MB
  • Tags: CPython 3.8, Windows x86
  • 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

File hashes

Hashes for Orange3-3.30.2-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 90aebe5d8f954d0fa78dce687ca5d769848a8493b73ab7c27f74856d52ebd6e5
MD5 9f65d588257eb5a8ed924a96e927a279
BLAKE2b-256 866fb19f91de9f2c110c28ef7d216303b9b7701e6795f74c3a7f6e47b1a02c91

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for Orange3-3.30.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cc64b35da30531647e3f4916f86012b20e2bf5643e1f6eb3b75ba395040e96fd
MD5 20665823a44a2c617ccd44d008adc555
BLAKE2b-256 a7c47fcc3873637895d17b619e713afaea92dbb36645f50af8141ae715b2f4b6

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for Orange3-3.30.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 896a7e23986b242e2204baf1ebb59da295b88053a896b4171e7b1af57ee85230
MD5 becd18fa2c3834b70da645b0d37b8fa2
BLAKE2b-256 c226cfbd5b91b66a7307ddb180d5f8494c22ec2c9a878aeae408004afd0c80ed

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: Orange3-3.30.2-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 26.4 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • 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

File hashes

Hashes for Orange3-3.30.2-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 aee644402944c19c6e782c554a9bcca0a1f70ce878bc292c531f346bedecc3c6
MD5 4fe59f43dc17bf6ab3f1be8d7c80cb03
BLAKE2b-256 eb4ba25c24252b2b357d95a8f41a44529a8261eccd6e48446477c5ca06f7f7f9

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.30.2-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 26.4 MB
  • Tags: CPython 3.7m, Windows x86-64
  • 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

File hashes

Hashes for Orange3-3.30.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 c325de189b379476f0bd8da6d8745e7658a6b8e19bbfdaece32c98d488788119
MD5 490bf883643863aa074472fa7ef85401
BLAKE2b-256 41a763552238e24d107e6adc9253bb43c7082317b25810fe218234fc825e85ed

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp37-cp37m-win32.whl.

File metadata

  • Download URL: Orange3-3.30.2-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 26.4 MB
  • Tags: CPython 3.7m, Windows x86
  • 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

File hashes

Hashes for Orange3-3.30.2-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 1f7dbe0b172e90518fdf6f85788aaf35fffcab1e1f9c1701b0e0ffd0975db6ed
MD5 9fa2031363aaba62959bc0ee0dd9fc81
BLAKE2b-256 bf06dd10bc6f839ec6260f17bacdb83f41b1499d395d5fdb6a5bfa7d2b09f2c6

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for Orange3-3.30.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 28850fafa0ebeb36b0eefc5a33287981f609f3138ed3edd102156f6e5293fcd7
MD5 8c065396f5f1f772754caf5b65b404ba
BLAKE2b-256 9361629113fecad5f57ebaed31e2237ca46735ec67f45a4c4b3e190f66c366e7

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for Orange3-3.30.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 91ceb18549169023d37d4618fca688fbe29331aa9444faec7705f7d1afd11a94
MD5 16fe53f467a02e3fb5b03170744b669f
BLAKE2b-256 a2f7166fdd131cf0df47821b92cba02a0632b72f1c3d9b45ecff25676e229d61

See more details on using hashes here.

File details

Details for the file Orange3-3.30.2-cp37-cp37m-macosx_10_6_intel.whl.

File metadata

  • Download URL: Orange3-3.30.2-cp37-cp37m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 27.0 MB
  • Tags: CPython 3.7m, 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

File hashes

Hashes for Orange3-3.30.2-cp37-cp37m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 536a649592b46d6c1e8b82cbf16832422cace7603b876902996ba7843f671863
MD5 53177a8c6b6ce4958b587da72c86387c
BLAKE2b-256 cb4d768856dea690b3b86c1f3eb7bf7b2dab616e71fb75c0bc50f5468ed2a76a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page