[![Orange Data Mining](https://raw.githubusercontent.com/irgolic/orange3/README-shields/distribute/orange-title.png)](https://orange.biolab.si/download)




[![](https://img.shields.io/github/v/release/biolab/orange3?label=download)](https://orange.biolab.si/download)
[![](https://readthedocs.org/projects/orange3/badge/?version=latest)](https://orange3.readthedocs.io/en/latest/?badge=latest)
[![](https://img.shields.io/discord/633376992607076354?logo=discord&color=7389D8&logoColor=white&label=Discord)](https://discord.gg/FWrfeXV)

Orange Data Mining

Orange is a data mining and visualization toolbox for novice and expert alike. To explore data with Orange, one requires no programming or in-depth mathematical knowledge. We believe that workflow-based data science tools democratize data science by hiding complex underlying mechanics and exposing intuitive concepts. Anyone who owns data, or is motivated to peek into data, should have the means to do so.

[![Example Workflow](https://raw.githubusercontent.com/irgolic/orange3/README-shields/distribute/orange-example-tall.png)](https://orange.biolab.si/download)

Installing

On Windows and macOS, download the latest installer. To install an add-on, head to Options -> Add-ons... in the menu bar.

On Linux (or for development), install using conda, pip or uv.

Installing with Conda

First, install Miniconda for your OS.

Then, create a new conda environment, and install orange3:

# Add conda-forge to your channels for access to the latest release
conda config --add channels conda-forge

# Perhaps enforce strict conda-forge priority
conda config --set channel_priority strict

# Create and activate an environment for Orange
conda create python=3.12 --yes --name orange3
conda activate orange3

# Install Orange
conda install orange3

Run Orange from the correct environment.

conda activate orange3
python -m Orange.canvas

Note that the first launch may take some time.

For installation of an add-on, use:

conda install orange3-

See specific add-on repositories for details.

Installing with pip

We recommend using our standalone installer or conda. Installation with pip might require a C/C++ compiler (on Windows we suggest using Microsoft Visual Studio Build Tools). To install Orange, create and activate a virtual environment, then run:

pip install PyQt6 PyQt6-WebEngine orange3

Run Orange by activating the environment and then executing python -m Orange.canvas. Note that the first launch may take some time.

Installing with uv

Install with

uv tool install -p 3.12 -w PyQt6,PyQt6-WebEngine orange3

add uv tools to the path (see instructions printed by uv) and then run orange with orange-canvas. The first launch may take some time.

Installing with winget (Windows only)

To install Orange with winget, run:

winget install --id  UniversityofLjubljana.Orange 

Developing

Want to write a widget? Use the Orange3 example add-on template.

Want to get involved? Join us on Discord, introduce yourself in #general!

Take a look at our contributing guide and style guidelines.

Check out our widget development docs for a comprehensive guide on writing Orange widgets.

The Orange ecosystem

The development of core Orange is primarily split into three repositories:

biolab/orange-canvas-core implements the canvas,
biolab/orange-widget-base is a handy widget GUI library,
biolab/orange3 brings it all together and implements the base data mining toolbox.

Additionally, add-ons implement additional widgets for more specific use cases. Anyone can write an add-on. Some of our first-party add-ons:

• biolab/orange3-text
• biolab/orange3-bioinformatics
• biolab/orange3-timeseries
• biolab/orange3-single-cell
• biolab/orange3-imageanalytics
• biolab/orange3-educational
• biolab/orange3-geo
• biolab/orange3-associate
• biolab/orange3-network
• biolab/orange3-explain

Setting up for core Orange development

First, fork the repository by pressing the fork button in the top-right corner of this page.

Set your GitHub username,

export MY_GITHUB_USERNAME=replaceme

create a conda environment, clone your fork, and install it:

conda create python=3.12 --yes --name orange3
conda activate orange3

git clone ssh://git@github.com/$MY_GITHUB_USERNAME/orange3

# Install PyQt. This will install PyQt6; you can also use PyQt5
pip install -r orange3/requirements-pyqt.txt
pip install -e orange3

Now you're ready to work with git. See GitHub's guides on pull requests, forks if you're unfamiliar. If you're having trouble, get in touch on Discord.

Running

Run Orange with python -m Orange.canvas (after activating the conda environment).

python -m Orange.canvas -l 2 --no-splash --no-welcome will skip the splash screen and welcome window, and output more debug info. Use -l 4 for more.

Add --clear-widget-settings to clear the widget settings before start.

To explore the dark side of the Orange, try --style=fusion:breeze-dark

Argument --help lists all available options.

To run tests, use unittest Orange.tests Orange.widgets.tests

Setting up for development of all components

Should you wish to contribute Orange's base components (the widget base and the canvas), you must also clone these two repositories from Github instead of installing them as dependencies of Orange3.

First, fork all the repositories to which you want to contribute.

Set your GitHub username,

export MY_GITHUB_USERNAME=replaceme

create a conda environment, clone your forks, and install them:

conda create python=3.12 --yes --name orange3
conda activate orange3

# Install PyQT and PyQtWebEngine. You can also use PyQt6
pip install -r requirements-pyqt.txt

git clone ssh://git@github.com/$MY_GITHUB_USERNAME/orange-widget-base
pip install -e orange-widget-base

git clone ssh://git@github.com/$MY_GITHUB_USERNAME/orange-canvas-core
pip install -e orange-canvas-core

git clone ssh://git@github.com/$MY_GITHUB_USERNAME/orange3
pip install -e orange3

# Repeat for any add-on repositories

It's crucial to install orange-base-widget and orange-canvas-core before orange3 to ensure that orange3 will use your local versions.