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

3.29.3

3.29.2

3.29.1

3.29.0 yanked

This version

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

Orange3-3.28.0.tar.gz (24.4 MB view details)

Uploaded Source

Built Distributions

Orange3-3.28.0-cp39-cp39-win_amd64.whl (25.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

Orange3-3.28.0-cp39-cp39-win32.whl (24.9 MB view details)

Uploaded CPython 3.9 Windows x86

Orange3-3.28.0-cp39-cp39-manylinux1_x86_64.whl (24.4 MB view details)

Uploaded CPython 3.9

Orange3-3.28.0-cp39-cp39-macosx_10_9_x86_64.whl (24.8 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

Orange3-3.28.0-cp38-cp38-win_amd64.whl (25.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

Orange3-3.28.0-cp38-cp38-win32.whl (24.9 MB view details)

Uploaded CPython 3.8 Windows x86

Orange3-3.28.0-cp38-cp38-manylinux1_x86_64.whl (24.4 MB view details)

Uploaded CPython 3.8

Orange3-3.28.0-cp38-cp38-macosx_10_9_x86_64.whl (24.8 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

Orange3-3.28.0-cp37-cp37m-win_amd64.whl (25.0 MB view details)

Uploaded CPython 3.7m Windows x86-64

Orange3-3.28.0-cp37-cp37m-win32.whl (24.9 MB view details)

Uploaded CPython 3.7m Windows x86

Orange3-3.28.0-cp37-cp37m-manylinux1_x86_64.whl (24.4 MB view details)

Uploaded CPython 3.7m

Orange3-3.28.0-cp37-cp37m-macosx_10_6_intel.whl (25.3 MB view details)

Uploaded CPython 3.7m macOS 10.6+ intel

Orange3-3.28.0-cp36-cp36m-win_amd64.whl (25.0 MB view details)

Uploaded CPython 3.6m Windows x86-64

Orange3-3.28.0-cp36-cp36m-win32.whl (24.9 MB view details)

Uploaded CPython 3.6m Windows x86

Orange3-3.28.0-cp36-cp36m-manylinux1_x86_64.whl (24.4 MB view details)

Uploaded CPython 3.6m

Orange3-3.28.0-cp36-cp36m-macosx_10_6_intel.whl (25.3 MB view details)

Uploaded CPython 3.6m macOS 10.6+ intel

File details

Details for the file Orange3-3.28.0.tar.gz.

File metadata

  • Download URL: Orange3-3.28.0.tar.gz
  • Upload date:
  • Size: 24.4 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 Orange3-3.28.0.tar.gz
Algorithm Hash digest
SHA256 34fe65e3d569b23aef948996f0ec2e74423c7e801fcc432108df803ea5ec84a9
MD5 fc7494d889d5ab9de658eaeb7e3cca93
BLAKE2b-256 ae72d78d25a2eaead78222a3ba82cd3f6f27e7d394fcb2e112265f8671ad8bd6

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 25.0 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/44.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for Orange3-3.28.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 244c15c9b35be4144a1c27deb8099d4bd2dd833e53e84ecbe36a34cfb8e8ca17
MD5 a71ed9ce0d0f9ccc0ac9377b66c56641
BLAKE2b-256 76d67b18e5ea4c2e751faa30865d09dc7417c3e62f8e0173f1977808a01f08e9

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 24.9 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/44.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for Orange3-3.28.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 0de87945c0bc592c8fb3a3682a14be3763e60a451dad510c138c5aba6cc17ca1
MD5 15776a6fda2789233b3ef929aad5be5e
BLAKE2b-256 0e17dbc7ab278546f7d0740d8f2c6f24e9de57963d2920565c250cfe35c360ec

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 24.4 MB
  • Tags: CPython 3.9
  • 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 Orange3-3.28.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ae100b00ea5960963455e104d57433913aeb45c217c08b9e01675e22e4569d40
MD5 975a2f3eacf4ca91c5cdc1cd1ac62173
BLAKE2b-256 2f77ceed5393bd66f3e8ecb5506a5bc4466e53142b7df67b272bdb11cccd222b

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 24.8 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 Orange3-3.28.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e0f7c00b4ae463af1aa72709dc7f802607b7fc6a27ab624dafe770124bdab8b6
MD5 ebd80d6bad909b7ee0d07014a974c9d9
BLAKE2b-256 1f94662b0b27c8eea67979b6b72169e807db59f3ad624eee8f1ba28c4d85d287

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 25.0 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/44.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for Orange3-3.28.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 4afc46b47b0fca75bcf8ccd3102d7cdb3fb949ba88d9291e3ad08bc5f462d88f
MD5 115d364168d1f33d6710a1658014cdce
BLAKE2b-256 ebc29f75f76cb5ce73cd2fe947e24bbaeb7a726ea69f14fff5375201172f384d

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 24.9 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/44.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for Orange3-3.28.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 e014d69bce023f543540356869df19273fa0195a514ba84a3b75e7fdecd46c39
MD5 e9a30ef31319356e0d361fa7080c814c
BLAKE2b-256 1746484c654432f0d820eab0a768a246dcf24df059652abcf577b5cd67d3d8bd

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 24.4 MB
  • Tags: CPython 3.8
  • 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 Orange3-3.28.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0eddcd400347e6638b841b9458ba1572feee61b289fb7e7ede47c11657dfe972
MD5 62f684bd051d36e0c1675da07313883d
BLAKE2b-256 6755224522b093252dd0ec883c4984f5d616821c19531f6a621e331587a14957

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 24.8 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 Orange3-3.28.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 85e9c978a88cdc728fe46645f344516e4642188ed0301fbcc7019a1c79007d25
MD5 7f356f71fdafc3c02762088b9850f148
BLAKE2b-256 53ca505712e14bb4b98eb4914d16e9c72588e26792aaf547aa74a1bd93a2bc62

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 25.0 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/44.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for Orange3-3.28.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 d888972303236db59e4bd90d3c834f0c554cd660f7a692a2498500d993a44157
MD5 359e5a881d6b2f3ef635ad35bf62a136
BLAKE2b-256 d0e81f457dd77ff38a07eb3e5fc763b5f6b5c4f23af7be8e6665a11057ddbad1

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 24.9 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/44.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for Orange3-3.28.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 f5908d976864f33bc8271dde879d4ff6e0f318aafe5fa3b8ec0b8c657afdbd16
MD5 c35b0b2a11108470d5070555cd01b438
BLAKE2b-256 48ddb94aadbfea93a4142754bec6e2d7fecf2623eda1e7a8f3f7cec6215f6e73

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 24.4 MB
  • Tags: CPython 3.7m
  • 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 Orange3-3.28.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0a24bfeed668109ecb1fb1a4e0a342706bcbbae43737ce3587944c173bc06241
MD5 5ee59099cfa44276ac2c98a99e4febde
BLAKE2b-256 fc84f8c7af5726bcbda9700e3653abdaeef9d376732ee221dcb4dc90e84b0402

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp37-cp37m-macosx_10_6_intel.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp37-cp37m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 25.3 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 Orange3-3.28.0-cp37-cp37m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 f7e1b44eba3b4c2dfa98675fa372ef0b21576ac18af1a03e079f4825cfac6478
MD5 8319da0395b85169d8b3e7235ddabad1
BLAKE2b-256 e9ca7c97d60f6a58f4aca7aa274051ce12c637ec68392edc5e25a79c6134bd4a

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 25.0 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 Orange3-3.28.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 71dbfe8ed0efd80c753f1683c57024d2545bd20aecb871e0ee361913a17912e7
MD5 2a54e046aff36f175833d947aec05e33
BLAKE2b-256 0120514122d079f3ae4df2548e605dec08f596695146af5c9df117e95f02614f

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp36-cp36m-win32.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 24.9 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 Orange3-3.28.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 4c9a1cb020676a792e450d470e32d1555b72c3adb1835747ca75e73fbf9b588b
MD5 50a701fcde1d844afeb78635cbab586d
BLAKE2b-256 59eab66e2c3bb9b25db61c589b6e807a7d5d380cc86ed208a3291a26ae6b773b

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 24.4 MB
  • Tags: CPython 3.6m
  • 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 Orange3-3.28.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 4ca459134b1b894d3a8548e9aaf2b1aeecf8d883db5b193cef76db6e03096df2
MD5 7dea3a730b4064d5e0b9da2df5169f83
BLAKE2b-256 73f03f8d73403c3614d6f361cbc82df75c56241dd854bb1629e7ec8eb4682d70

See more details on using hashes here.

File details

Details for the file Orange3-3.28.0-cp36-cp36m-macosx_10_6_intel.whl.

File metadata

  • Download URL: Orange3-3.28.0-cp36-cp36m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 25.3 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 Orange3-3.28.0-cp36-cp36m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 8a487578eb25f64f24ffa529542c53679837c956ba61e4fa0190235745a17a7e
MD5 bf2a3a1a036afb91fe02c1af670f499a
BLAKE2b-256 bb862e06164750d019736ab91bf5e039d92789d989ef41965699d7dc681645da

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