Skip to main content

Orange, a component-based data mining framework.

Project description

[![Join the chat at https://gitter.im/biolab/orange3](https://badges.gitter.im/biolab/orange3.svg)](https://gitter.im/biolab/orange3?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

[![build: passing](https://img.shields.io/travis/biolab/orange3.svg)](https://travis-ci.org/biolab/orange3) [![codecov](https://codecov.io/gh/biolab/orange3/branch/master/graph/badge.svg)](https://codecov.io/gh/biolab/orange3)

[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 a development version of Orange 3. The stable version 2.7 is still available ([binaries] and [sources]).

[Orange]: http://orange.biolab.si/ [binaries]: http://orange.biolab.si/orange2/ [sources]: https://github.com/biolab/orange

Installing

Orange requires Python 3.4 or newer. To build it and install it in a development environment, run:

# Install some build requirements via your system’s package manager sudo apt install virtualenv git 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

# Clone the repository and move into it git clone https://github.com/biolab/orange3.git cd orange3

# Install Qt dependencies for the GUI pip install PyQt5 # Of if Python <= 3.4 and/or with package manager # sudo apt install python3-pyqt4

# Install other minimum required dependencies pip install -r requirements-core.txt # For Orange Python library pip install -r requirements-gui.txt # For Orange GUI

pip install -r requirements-sql.txt # To use SQL support pip install -r requirements-opt.txt # Optional dependencies, may fail

# Finally install Orange in editable/development mode. pip install -e .

Installation of SciPy and qt-graph-helpers is sometimes challenging because of their non-python dependencies that have to be installed manually. More detailed, if mostly obsolete, guides for some platforms can be found in the [wiki].

[wiki]: https://github.com/biolab/orange3/wiki

Anaconda Installation

First, install [Anaconda] for your OS (Python version 3.5+). Create virtual environment for Orange:

conda create python=3 –name orange3

In your Anaconda Prompt add conda-forge to your channels:

conda config –add channels conda-forge

This will enable access to the latest Orange release. Then install Orange3:

conda install orange3

[Anaconda]: https://www.continuum.io/downloads

Starting Orange GUI

Orange GUI requires PyQt, which is not pip-installable in Python 3. You have to download and install it system-wide. Make sure that the virtual environment for orange is created with –system-site-packages, so it will have access to the installed PyQt4.

To start Orange GUI from the command line, assuming it was successfully installed, run:

orange-canvas # or python3 -m Orange.canvas

Append –help for a list of program options.

If you’re running Orange with PyQt5 or if you have multiple PyQt versions available, set the environmental variable QT_API to the PyQt version to use, e.g.:

export QT_API=pyqt5 orange-canvas

Compiling on Windows

Get appropriate wheels for missing libraries. You will need [numpy+mkl] and [scipy].

[numpy+mkl]: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy [scipy]: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy

Install them with

pip install some-wheel.whl

Install [Visual Studio compiler]. Then go to Orange3 folder and run:

[Visual Studio compiler]: http://landinghub.visualstudio.com/visual-cpp-build-tools

python setup.py build_ext -i –compiler=msvc install

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

Orange3-3.16.0.tar.gz (22.4 MB view details)

Uploaded Source

Built Distributions

Orange3-3.16.0-cp37-none-win_amd64.whl (4.1 MB view details)

Uploaded CPython 3.7 Windows x86-64

Orange3-3.16.0-cp37-none-win32.whl (4.0 MB view details)

Uploaded CPython 3.7 Windows x86

Orange3-3.16.0-cp37-cp37m-macosx_10_6_intel.whl (4.5 MB view details)

Uploaded CPython 3.7m macOS 10.6+ intel

Orange3-3.16.0-cp36-none-win_amd64.whl (4.1 MB view details)

Uploaded CPython 3.6 Windows x86-64

Orange3-3.16.0-cp36-none-win32.whl (4.0 MB view details)

Uploaded CPython 3.6 Windows x86

Orange3-3.16.0-cp36-cp36m-macosx_10_6_intel.whl (4.5 MB view details)

Uploaded CPython 3.6m macOS 10.6+ intel

Orange3-3.16.0-cp35-none-win_amd64.whl (4.1 MB view details)

Uploaded CPython 3.5 Windows x86-64

Orange3-3.16.0-cp35-none-win32.whl (4.0 MB view details)

Uploaded CPython 3.5 Windows x86

Orange3-3.16.0-cp35-cp35m-macosx_10_6_intel.whl (4.5 MB view details)

Uploaded CPython 3.5m macOS 10.6+ intel

Orange3-3.16.0-cp34-none-win_amd64.whl (4.0 MB view details)

Uploaded CPython 3.4 Windows x86-64

Orange3-3.16.0-cp34-none-win32.whl (4.0 MB view details)

Uploaded CPython 3.4 Windows x86

Orange3-3.16.0-cp34-cp34m-macosx_10_6_intel.whl (4.5 MB view details)

Uploaded CPython 3.4m macOS 10.6+ intel

File details

Details for the file Orange3-3.16.0.tar.gz.

File metadata

  • Download URL: Orange3-3.16.0.tar.gz
  • Upload date:
  • Size: 22.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.6.3

File hashes

Hashes for Orange3-3.16.0.tar.gz
Algorithm Hash digest
SHA256 dd841c1e8542d443bcc367a40e5b7d50eb53234ffebca0b9c1887bd3830882dc
MD5 26b0e0f1cee76fbb070b67559f9a2b66
BLAKE2b-256 c1c77a2a7de1fd5f8c4035374c31af62ce04f0c4d2f066c61746f7145836ac77

See more details on using hashes here.

File details

Details for the file Orange3-3.16.0-cp37-none-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.16.0-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 4.1 MB
  • Tags: CPython 3.7, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.6.3

File hashes

Hashes for Orange3-3.16.0-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 307551fe899d0c6868263402bb7489c74926ccc00d204e8d9f3d6802bd3f0d81
MD5 88c8048f3edb17762bab924f11361d05
BLAKE2b-256 929244b444588e07c35eb7fb8372f4a229bf2e20f8d6ac3a23733aa156fce46c

See more details on using hashes here.

File details

Details for the file Orange3-3.16.0-cp37-none-win32.whl.

File metadata

  • Download URL: Orange3-3.16.0-cp37-none-win32.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: CPython 3.7, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.6.3

File hashes

Hashes for Orange3-3.16.0-cp37-none-win32.whl
Algorithm Hash digest
SHA256 bd073b6a3c2addec4dd0823ab2775d498d47cf0c0798f949a4b4b42aee185f1f
MD5 c26a22edb3733302787d19ca7e7ee12f
BLAKE2b-256 5e391000726478091741d1930a223e77ac4ace177286e6cc3cf19f145e6e827c

See more details on using hashes here.

File details

Details for the file Orange3-3.16.0-cp37-cp37m-macosx_10_6_intel.whl.

File metadata

  • Download URL: Orange3-3.16.0-cp37-cp37m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: CPython 3.7m, macOS 10.6+ intel
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.6.3

File hashes

Hashes for Orange3-3.16.0-cp37-cp37m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 12c8cc63b47ab757f22f60c7576cc0e874fb68ab86b2d05ed9a769d2377f9522
MD5 ed7f333b9f322acf7d6c18b6e8273738
BLAKE2b-256 3c23103dbd0366a75e2b3638ad5a77b349f98527f3b664ad7797c37efa0fb782

See more details on using hashes here.

File details

Details for the file Orange3-3.16.0-cp36-none-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.16.0-cp36-none-win_amd64.whl
  • Upload date:
  • Size: 4.1 MB
  • Tags: CPython 3.6, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.6.3

File hashes

Hashes for Orange3-3.16.0-cp36-none-win_amd64.whl
Algorithm Hash digest
SHA256 71972e3b266edd155b772328ba160636c8596335fab179d1b96446724521db1f
MD5 2f2055eff8c256fbae7dff6981daf70f
BLAKE2b-256 995209a59b162cb46e64c7e43ca51c31a5af85e68d77c34e7368d6683a461c52

See more details on using hashes here.

File details

Details for the file Orange3-3.16.0-cp36-none-win32.whl.

File metadata

  • Download URL: Orange3-3.16.0-cp36-none-win32.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: CPython 3.6, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.6.3

File hashes

Hashes for Orange3-3.16.0-cp36-none-win32.whl
Algorithm Hash digest
SHA256 9b04e14b8455d01b9c8b8013c1c8cb00fb542d38f7162608cfaadbe9db5f20ed
MD5 5fbb3d25124edb3016ebaaafa7896b46
BLAKE2b-256 e144ab0a58347e264d10175efe28fa901766bebeaaac8703c99deed27d363e35

See more details on using hashes here.

File details

Details for the file Orange3-3.16.0-cp36-cp36m-macosx_10_6_intel.whl.

File metadata

  • Download URL: Orange3-3.16.0-cp36-cp36m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: CPython 3.6m, macOS 10.6+ intel
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.6.3

File hashes

Hashes for Orange3-3.16.0-cp36-cp36m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 470823b872d354f8f0b742e0098c4b4cf6437e2d741a15744bc791d5f74adc05
MD5 900c70d814e5bc94a634e757a472e3a9
BLAKE2b-256 c71bb58de3ec15df1f45ef60dda64f990b4088f5873cdff01ec7210dc63e72f7

See more details on using hashes here.

File details

Details for the file Orange3-3.16.0-cp35-none-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.16.0-cp35-none-win_amd64.whl
  • Upload date:
  • Size: 4.1 MB
  • Tags: CPython 3.5, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.6.3

File hashes

Hashes for Orange3-3.16.0-cp35-none-win_amd64.whl
Algorithm Hash digest
SHA256 5a314b981ee57d32a6a1f4e64bb1de501aac5d529d74e40e0c4a509ba54c98a4
MD5 85b39430770fa8946b909f26c3364ac7
BLAKE2b-256 fa500deab77e6ab5d57672b930cace2b45653925fbfd9944b6a4ab03f5f10ec5

See more details on using hashes here.

File details

Details for the file Orange3-3.16.0-cp35-none-win32.whl.

File metadata

  • Download URL: Orange3-3.16.0-cp35-none-win32.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: CPython 3.5, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.6.3

File hashes

Hashes for Orange3-3.16.0-cp35-none-win32.whl
Algorithm Hash digest
SHA256 467760591e30f406e38a91ffa93dcc6c2f8974f231a5528dfa43070804dd7cc0
MD5 4b9d96a10d02209a9d6b2fe1ff0e9832
BLAKE2b-256 601481454fb8539c65b9ffe9fc5cd360b9d664a9a101acbd1ad10ea032004f39

See more details on using hashes here.

File details

Details for the file Orange3-3.16.0-cp35-cp35m-macosx_10_6_intel.whl.

File metadata

  • Download URL: Orange3-3.16.0-cp35-cp35m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: CPython 3.5m, macOS 10.6+ intel
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.6.3

File hashes

Hashes for Orange3-3.16.0-cp35-cp35m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 3cc2ea6dd6e564de3eac0b2c83fb5fcd7f307a37dfaf4efd27cb41d4c274d554
MD5 60cc1df7cc9d7b9b7e1ddb2211836e2b
BLAKE2b-256 4c1723e99bf4a104fbcb7e18580d59768690ea59538cf1d0f8c8f2491c401fcc

See more details on using hashes here.

File details

Details for the file Orange3-3.16.0-cp34-none-win_amd64.whl.

File metadata

  • Download URL: Orange3-3.16.0-cp34-none-win_amd64.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: CPython 3.4, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.6.3

File hashes

Hashes for Orange3-3.16.0-cp34-none-win_amd64.whl
Algorithm Hash digest
SHA256 f2a3e12e63ffd3988cd59f2cdc31464cc7804f4db7bb36ffc6931736ace7d9e8
MD5 dcc42a18e8fc3d3a0c5971a3d136e982
BLAKE2b-256 52bf39c5541ff5bfc85deb506f49da45d29e88c3b05c2668411e947465dd9c84

See more details on using hashes here.

File details

Details for the file Orange3-3.16.0-cp34-none-win32.whl.

File metadata

  • Download URL: Orange3-3.16.0-cp34-none-win32.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: CPython 3.4, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.6.3

File hashes

Hashes for Orange3-3.16.0-cp34-none-win32.whl
Algorithm Hash digest
SHA256 fb05f54a5c77539dbe6b6d06419f71a929a3a061ace2fc40b5f31d96a6eedd04
MD5 74a900fd9538baad55034f62423c9fbf
BLAKE2b-256 d557cce63b4ae8022d6feb5ccd2e876c1e8f47102091be95673f80bc9db560e0

See more details on using hashes here.

File details

Details for the file Orange3-3.16.0-cp34-cp34m-macosx_10_6_intel.whl.

File metadata

  • Download URL: Orange3-3.16.0-cp34-cp34m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: CPython 3.4m, macOS 10.6+ intel
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/3.6.3

File hashes

Hashes for Orange3-3.16.0-cp34-cp34m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 6f06037de5925b234dd7b7d12be01d08bfc917332281ce3f24b1d5f427f777d5
MD5 614615a8a1ef34b65c5e002a1c99ff03
BLAKE2b-256 14a217e24a10530414be38e6c4b61b44975bbebc4c47a6891ef76adcac06f406

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