Skip to main content

Orange, a component-based data mining framework.

Project description

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 Python programming language.

Installing

To build and install Orange run:

python setup.py build
python setup.py install

from the command line. You can customize the build process by editing the setup-site.cfg file in this directory (see the comments in that file for instructions on how to do that).

Running tests

After Orange is installed, you can check if everything is working OK by running the included tests:

python setup.py test

This command runs all the unit tests and documentation examples. Some of the latter have additional dependencies you can satisfy by installing matplotlib, PIL and scipy.

Starting Orange Canvas

Start orange canvas from the command line with:

orange-canvas

Installation for Developers

To install in development mode run:

python setup.py develop

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

Orange-2.7.2.tar.gz (12.6 MB view details)

Uploaded Source

Built Distributions

Orange-2.7.2.win32-py2.7.exe (7.1 MB view details)

Uploaded Source

Orange-2.7.2-py2.7-win32.egg (6.9 MB view details)

Uploaded Source

Orange-2.7.2-cp27-none-win32.whl (7.0 MB view details)

Uploaded CPython 2.7 Windows x86

File details

Details for the file Orange-2.7.2.tar.gz.

File metadata

  • Download URL: Orange-2.7.2.tar.gz
  • Upload date:
  • Size: 12.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for Orange-2.7.2.tar.gz
Algorithm Hash digest
SHA256 02ca4f711c0d792ef5a4d5a066756d179476af73c944ee6a9e208369801e11de
MD5 bd4a08784f0042c1d451ffbb00490629
BLAKE2b-256 17d370e8bbb3c05e75d2f7133ec52de94262a03580aa11a615df79e3f23c3a8a

See more details on using hashes here.

File details

Details for the file Orange-2.7.2.win32-py2.7.exe.

File metadata

File hashes

Hashes for Orange-2.7.2.win32-py2.7.exe
Algorithm Hash digest
SHA256 db3e0321db8ab7a66e690c333f3aa63cd323395c0d0c03f8d208ce68ed9e225b
MD5 44e1ef658ca9b4374a724009654ca74a
BLAKE2b-256 b2cdfdc0dfc6b3b0f2129609f20ed59f1acb50a6634611175436bb30c424b6b0

See more details on using hashes here.

File details

Details for the file Orange-2.7.2-py2.7-win32.egg.

File metadata

File hashes

Hashes for Orange-2.7.2-py2.7-win32.egg
Algorithm Hash digest
SHA256 d3fd19e1e521111d17aecc2815965866c0e4500070a6c73b57f84cc96c86e182
MD5 56c48ee74ecfb17c97941d9585b92657
BLAKE2b-256 88ad4cc13c97b6b8516d341976c6b136ecfa35fcd6dbdba39ad6afd30b704a39

See more details on using hashes here.

File details

Details for the file Orange-2.7.2-cp27-none-win32.whl.

File metadata

File hashes

Hashes for Orange-2.7.2-cp27-none-win32.whl
Algorithm Hash digest
SHA256 827ed3eae556d5ff6ba6167f4c89dd827ff31090a5672b44c28d9fa6d8a2150a
MD5 c58dca733be1f8a84b6a847a7e818584
BLAKE2b-256 5b95e70d7c79e0298fa45ec3c2ab166678d856854fddfb8f224419d008d2c6cd

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