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

3.32.0

3.31.1

3.31.0

3.30.2

3.30.1

3.30.0

This version

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

Orange3-3.29.3.tar.gz (25.1 MB view details)

Uploaded Source

Built Distributions

Orange3-3.29.3-cp39-cp39-win_amd64.whl (25.3 MB view details)

Uploaded CPython 3.9 Windows x86-64

Orange3-3.29.3-cp39-cp39-win32.whl (25.3 MB view details)

Uploaded CPython 3.9 Windows x86

Orange3-3.29.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl (25.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ x86-64

Orange3-3.29.3-cp39-cp39-macosx_10_9_x86_64.whl (25.4 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

Orange3-3.29.3-cp38-cp38-win_amd64.whl (25.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

Orange3-3.29.3-cp38-cp38-win32.whl (25.3 MB view details)

Uploaded CPython 3.8 Windows x86

Orange3-3.29.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (25.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ x86-64

Orange3-3.29.3-cp38-cp38-macosx_10_9_x86_64.whl (25.4 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

Orange3-3.29.3-cp37-cp37m-win_amd64.whl (25.3 MB view details)

Uploaded CPython 3.7m Windows x86-64

Orange3-3.29.3-cp37-cp37m-win32.whl (25.3 MB view details)

Uploaded CPython 3.7m Windows x86

Orange3-3.29.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (25.3 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ x86-64

Orange3-3.29.3-cp37-cp37m-macosx_10_6_intel.whl (25.9 MB view details)

Uploaded CPython 3.7m macOS 10.6+ intel

Orange3-3.29.3-cp36-cp36m-win_amd64.whl (25.3 MB view details)

Uploaded CPython 3.6m Windows x86-64

Orange3-3.29.3-cp36-cp36m-win32.whl (25.3 MB view details)

Uploaded CPython 3.6m Windows x86

Orange3-3.29.3-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (25.3 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.5+ x86-64

Orange3-3.29.3-cp36-cp36m-macosx_10_6_intel.whl (25.9 MB view details)

Uploaded CPython 3.6m macOS 10.6+ intel

File details

Details for the file Orange3-3.29.3.tar.gz.

File metadata

  • Download URL: Orange3-3.29.3.tar.gz
  • Upload date:
  • Size: 25.1 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/3.8.5

File hashes

Hashes for Orange3-3.29.3.tar.gz
Algorithm Hash digest
SHA256 b768879a75b411df3799204e560046cacc5260e4edd27bffbd3ba4eab8a9437d
MD5 843b3412eb83615dad8e58cf814a142e
BLAKE2b-256 2195770248a0d89d6b12516a77685d842b4324fdef9b3d1bb7844ba534021dc2

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.29.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 25.3 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/3.8.5

File hashes

Hashes for Orange3-3.29.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 260c7a6fd0a503184d0479a24006e66dee76f0d09133881811a567004a07bf45
MD5 b171b79c284e6fa724b5bdbb320e5d18
BLAKE2b-256 5dd911715610eceff89b5ddf3e51c544d8837edb234353637fe17df38e3dd9ca

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp39-cp39-win32.whl.

File metadata

  • Download URL: Orange3-3.29.3-cp39-cp39-win32.whl
  • Upload date:
  • Size: 25.3 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/3.8.5

File hashes

Hashes for Orange3-3.29.3-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 60424d8a13d2fd52e9711e4e75b5552b1f7828f388f90b671fba7b3300248480
MD5 1d1b09d34b04e2fe244e64b0c77c12a7
BLAKE2b-256 3bc19ae474124ec319e0987c3013337d74b0480630c8f51df6049f8e4188c745

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for Orange3-3.29.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 5560422ed6deb9f81ad887e84d75e4cc2ba3ffe45012712c28b52ff28f2ea8b7
MD5 de03101804d80cb41f5b4eb117a03707
BLAKE2b-256 3094715a8bb5c8fae128b5db1df41fa67e0453e6a90acbf71e97926a4aa85d50

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: Orange3-3.29.3-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 25.4 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/3.8.5

File hashes

Hashes for Orange3-3.29.3-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0c8f8a445e36d30ec8035767e4859049d160889787bf229b6ea23b88d0af6cfe
MD5 4cbd2667d632614a7a693d2dee1e4a20
BLAKE2b-256 865bc469c1e4d32171d9dcca347163706c58bdd19f662d27a3596ad99df5847b

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.29.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 25.4 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/3.8.5

File hashes

Hashes for Orange3-3.29.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 f6744837e45224e1f80c8a00f6f139a5addeb195fcb82853f12b762efca5ef45
MD5 409da29d02ac491e4bec55c11e688f0d
BLAKE2b-256 902b96c86e8507bc0f9138917f73488b36c911d92363fef8655039d0b06033ac

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp38-cp38-win32.whl.

File metadata

  • Download URL: Orange3-3.29.3-cp38-cp38-win32.whl
  • Upload date:
  • Size: 25.3 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/3.8.5

File hashes

Hashes for Orange3-3.29.3-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 4621bf94c940a0663f5e97cf34f277bae71ff4cb40dd5f2f350db1d38a701ab9
MD5 804ee41c48f0f0c27e1268cd92794636
BLAKE2b-256 36cc3483831b72487c877fe1d5ebd74d8ad8a99499380f632837675e5b6f748d

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for Orange3-3.29.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ca62559b117b2620a67beb98cc0d291ff1ad471d03b771c330e374e88bbe4628
MD5 35b273e870c1d06ffadb4aea7ed6a7ed
BLAKE2b-256 0aca2f62d7db254ea5094d47a398aef3fc504807c4b2d888e7c3f6c3572f5243

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: Orange3-3.29.3-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 25.4 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/3.8.5

File hashes

Hashes for Orange3-3.29.3-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2185fdf9db03f137a4314ab554f8171bba8ff8163b20acc2333a1a446f6a18e0
MD5 0f49345a814ce92792c08c4386954140
BLAKE2b-256 1eed75798c7be8424e4db635d1a82fac61789d65ce5f7a2284356055262100e0

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.29.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 25.3 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/3.8.5

File hashes

Hashes for Orange3-3.29.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 59d7ef18bcfb5438ee57484b1b9bc269e8327958222800f85341b4bc8e31a615
MD5 cd228b278558a8dfc1113c449b1df367
BLAKE2b-256 675a1a6d02c31ebad8bd0ff4ccb2cfb46cdbb26b4c030d6ba3de9614a40d9841

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp37-cp37m-win32.whl.

File metadata

  • Download URL: Orange3-3.29.3-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 25.3 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/3.8.5

File hashes

Hashes for Orange3-3.29.3-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 fd7bed7200cd22521468e75695b9ebb64e0a183d99e70f9695eaf84b667da89e
MD5 4775cabf9db5e14d88224245809663db
BLAKE2b-256 7d6801b3709fe398dec6a5b5145b88a444ffd3d6d591c3eb9a1ae91b0e91454c

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for Orange3-3.29.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 5bb971c9584d8b3c378dec653a071fe394d99cdf699936ebcba021fb600b02e1
MD5 185a483e784c8868e708835152fe3928
BLAKE2b-256 d37f623dbe0512454f4243a61e65dfb7c45c3c6d6b6d888b8b818c2fd485d454

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp37-cp37m-macosx_10_6_intel.whl.

File metadata

  • Download URL: Orange3-3.29.3-cp37-cp37m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 25.9 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/3.8.5

File hashes

Hashes for Orange3-3.29.3-cp37-cp37m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 8df58e938d5cf79ae02f9196eb534960ea69c7cbd4e7ec75b1c538a65de624b7
MD5 3224b2340bfcf90da9c3ad73f712d170
BLAKE2b-256 eca97cbd3974182fcce23488081ca23022227dc6c020e92c3189a5a680540442

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.29.3-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 25.3 MB
  • Tags: CPython 3.6m, 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/3.8.5

File hashes

Hashes for Orange3-3.29.3-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 884a0c9ee3f1cc27f6d7c44d9395bebc1422ee600f06e171b0f96904cf4e420b
MD5 ff693b4151a01d24ce4b07a518663457
BLAKE2b-256 6f7170d132c2c05699275d5c3031eb98fe96f674d64a0d47205441aeef319607

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp36-cp36m-win32.whl.

File metadata

  • Download URL: Orange3-3.29.3-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 25.3 MB
  • Tags: CPython 3.6m, 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/3.8.5

File hashes

Hashes for Orange3-3.29.3-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 77841c424d6eac1e5cd1214b9770e3a0d950ca02192d67170f48bc3988738ba1
MD5 6a56d5b02593ede9575023cedc4e6266
BLAKE2b-256 26db439ec90f79a1d4cd15bf179287278b761eb3b09898cda733db1cebccc332

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for Orange3-3.29.3-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 cedc5fe33103901972b7fbba901cf4bd80d69d26df2abb02d0ea071d3122cb70
MD5 23b6af8cb769d465d3a0e5789c24459d
BLAKE2b-256 907e3829d2a310ef92ae5310dad23273ad259dc327abfbfd75ddd19e3e57604c

See more details on using hashes here.

File details

Details for the file Orange3-3.29.3-cp36-cp36m-macosx_10_6_intel.whl.

File metadata

  • Download URL: Orange3-3.29.3-cp36-cp36m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 25.9 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/3.8.5

File hashes

Hashes for Orange3-3.29.3-cp36-cp36m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 689d2d537417364589be8399f0ec3bb7299e3e537bbddb06ed6758f68273adcc
MD5 e629f6df08f03c61b9d861eb500d2c4c
BLAKE2b-256 cdedc0e391d7d31132f28296b101271699970676f3648641816170d5a5ae5083

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