Orange, a component-based data mining framework.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for AlesErjavec from gravatar.com AlesErjavec Avatar for Anze.Staric from gravatar.com Anze.Staric Avatar for lanzagar from gravatar.com lanzagar Avatar for markotoplak from gravatar.com markotoplak Avatar for nikicc from gravatar.com nikicc Avatar for primozgodec from gravatar.com primozgodec

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 or later (GPLv3+) (GPLv3+)
  • Author: Bioinformatics Laboratory, FRI UL
  • Tags data mining, machine learning, artificial intelligence
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for AlesErjavec from gravatar.com AlesErjavec Avatar for Anze.Staric from gravatar.com Anze.Staric Avatar for lanzagar from gravatar.com lanzagar Avatar for markotoplak from gravatar.com markotoplak Avatar for nikicc from gravatar.com nikicc Avatar for primozgodec from gravatar.com primozgodec

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 or later (GPLv3+) (GPLv3+)
  • Author: Bioinformatics Laboratory, FRI UL
  • Tags data mining, machine learning, artificial intelligence
Classifiers

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

This version

3.32.0

3.31.1

3.31.0

3.30.2

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

3.13.0

3.12.0

3.11.0

3.10.0

3.9.1

3.9.0

3.8.0

3.7.1

3.7.0

3.6.0

3.5.0

3.4.5

3.4.4

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

3.3.4

Download files

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

Source Distribution

Orange3-3.32.0.tar.gz (26.8 MB view details)

Uploaded Source

Built Distributions

Orange3-3.32.0-cp39-cp39-win_amd64.whl (27.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

Orange3-3.32.0-cp39-cp39-win32.whl (26.9 MB view details)

Uploaded CPython 3.9 Windows x86

Orange3-3.32.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (29.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

Orange3-3.32.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (29.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

Orange3-3.32.0-cp39-cp39-macosx_10_9_x86_64.whl (27.0 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

Orange3-3.32.0-cp38-cp38-win_amd64.whl (27.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

Orange3-3.32.0-cp38-cp38-win32.whl (26.9 MB view details)

Uploaded CPython 3.8 Windows x86

Orange3-3.32.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (29.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

Orange3-3.32.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (29.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

Orange3-3.32.0-cp38-cp38-macosx_10_9_x86_64.whl (27.0 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

Orange3-3.32.0-cp37-cp37m-win_amd64.whl (27.0 MB view details)

Uploaded CPython 3.7m Windows x86-64

Orange3-3.32.0-cp37-cp37m-win32.whl (26.9 MB view details)

Uploaded CPython 3.7m Windows x86

Orange3-3.32.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (29.0 MB view details)

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

Orange3-3.32.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (29.0 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

Orange3-3.32.0-cp37-cp37m-macosx_10_9_x86_64.whl (27.0 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file Orange3-3.32.0.tar.gz.

File metadata

  • Download URL: Orange3-3.32.0.tar.gz
  • Upload date:
  • Size: 26.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.22.0 setuptools/60.8.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10

File hashes

Hashes for Orange3-3.32.0.tar.gz
Algorithm Hash digest
SHA256 b4dcd44861f197d4e5e1c2209fd1c711e44ab7605f618aef6b2c01c174e4b25f
MD5 1e2fb11e1776351495077880f2f94ee8
BLAKE2b-256 331a03103decd0a5c51dd1a32bfcbfe48438d9b173660992b2cda82d4091f1a3

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.32.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 27.0 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/60.8.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10

File hashes

Hashes for Orange3-3.32.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 7968fd9cc988ee610e95065403a9292fb42884af4fa5db641d8e9b1fcd0f1ec2
MD5 008813e4162d11e37b0737cc8d5a4716
BLAKE2b-256 2581551fc5f180cef72d95de5f1a3abfc50e06e4194d3ec2765ad27ee082d51e

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: Orange3-3.32.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 26.9 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/60.8.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10

File hashes

Hashes for Orange3-3.32.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 3e55baa3cf5a4a57df258af2d79ca626e920aa7429d5aa39e13bc465c8d60658
MD5 0267e4856881fb6aba006394cf6f778a
BLAKE2b-256 e1a539b157d38ff9acd54796e0686ef2ae136fc17d509bf3e9a46048203ff9f4

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for Orange3-3.32.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1fcb35b54d93d81ff59cd381d5623168c7ad1497d440a865febb6717c9be2bb2
MD5 1c5862c271c3fbbf547f00477339d346
BLAKE2b-256 90128744da55ac94b5d58e189eb1beb88401731ed91a3f954b21ef2a492e7bf5

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for Orange3-3.32.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6a74d4881259d9a63605667469bf5fb25a582469d2206792b10f9072275924a8
MD5 5821f5ad9f4cccbeed1f13f92c4a8ee7
BLAKE2b-256 8df4e8a924ddb10075e8fd1e12a8c2aea5d9e52d6980eacc948069a267edf1b2

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: Orange3-3.32.0-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 27.0 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/60.8.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10

File hashes

Hashes for Orange3-3.32.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6f2f0948741cc53d6f6cc7a4cc22833941d17ae96871c5e6775ea2b9d50878bf
MD5 facd1c37ec18d49dc9175c9ec6b33cb4
BLAKE2b-256 0dee64a6d3e908773475b230e806fcadb5d7d53127a8c829f583ffa89ade4ab2

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.32.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 27.0 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/60.8.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10

File hashes

Hashes for Orange3-3.32.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8cab30ccc508acf73c82e94748eca5488a57f8f8bd2cb6e2860363ad2d51d637
MD5 28d3e661df9266c55c6632ac162a2243
BLAKE2b-256 8d98a6606e33f51fc7624736fde58ddd026f1ba09574c38116a2198ec15e3a9b

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: Orange3-3.32.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 26.9 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/60.8.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10

File hashes

Hashes for Orange3-3.32.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 d28fdd438f59bdc9c4934e8d20af40a753500d27e9cc2bd3189a4b93a4e75098
MD5 07b7264dca4830af9a6fc6fbdfce7c46
BLAKE2b-256 044fb7523c043984e1857e6a7f5c4019832730e4e0b0a086ca1b365999b73020

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for Orange3-3.32.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cd78d6b95605817a747b1cf983b61cb5814eb1d6ed0bf38acb5f5c4ad051c237
MD5 b40884f35d4780480e44781cc98792a8
BLAKE2b-256 52efb47a8547300636fe176d97da0a907de7c1385efaa0f6aac836707c5849ed

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for Orange3-3.32.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 dbd5f90d4ced57c58aaffeab8db66850a11982c1be8b15a3ab02ff67496136b6
MD5 257a8dde74f68edc62a0018416dc1ed3
BLAKE2b-256 ff004c593d2f445fb4539cb9e333ef5f99f12d69ac915a086f9e873758ae9f42

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: Orange3-3.32.0-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 27.0 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/60.8.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10

File hashes

Hashes for Orange3-3.32.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 77282a400e5e9ae1c3d6ebeaf28a06427658beded88e421f0fb014d045b8ab37
MD5 58c0faf5bf4bf0049cf548643d9d7d58
BLAKE2b-256 b3c6ebba46396c86097fa15ae3d6c5be0085fc61686adfee1e0f9201209a36cf

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.32.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 27.0 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/60.8.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10

File hashes

Hashes for Orange3-3.32.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 60425525e257eab5be8e3d7488038f570e3a06c8fbeb5c9f2049f4c2c391e72c
MD5 c2bb3041c0e6c97ecdde3a9575d87861
BLAKE2b-256 8ab32e2017d4660c365b3e8155949537fbc1f9b6cfa3fb9d9c9b511ef50dce8d

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: Orange3-3.32.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 26.9 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/60.8.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10

File hashes

Hashes for Orange3-3.32.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 1dbe8f3d2ac568da785bf39168f60b66217b5b83ed9644e8e577e775f0a78f63
MD5 e5c759652c850c9f7c1a659784a7dcff
BLAKE2b-256 8cbf20cbdaa27ebd89a40b943f6c30b8a5d40dc72f59f0e9afa9c572e33890df

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for Orange3-3.32.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6919db5b16f206458d0972e90b010e1814f8940680507c106c8b0ba92ee3740e
MD5 6901daa69b977f39f8a77ce808114c26
BLAKE2b-256 5b5390a5334573d0cd7dea9e2f6d067de14cfdf95762a32982ffc618f8ae28a9

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for Orange3-3.32.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0900a834d4bf75a7dff3e4550cbe1301b7c57d0d25d50274af3329ebf5180f87
MD5 008808ac0b151a83e567b55698615d87
BLAKE2b-256 d5122244e3f098ec621ba42c11fe4035c0ef70191f364b92751e04d39a0f5318

See more details on using hashes here.

File details

Details for the file Orange3-3.32.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: Orange3-3.32.0-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 27.0 MB
  • Tags: CPython 3.7m, 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/60.8.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10

File hashes

Hashes for Orange3-3.32.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b0186a9ff97661aac98a786e1f45bcfd995ecada77de056fa2b9e1a29684a035
MD5 29a2d375159323a08a827445786f58d7
BLAKE2b-256 0df4f0f897978e640522692fed40d2f383a94d3c4b8f62e0e2cbbb71d57a1192

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