This is a development version of Orange 3. The stable version 2.7 is still available (binaries and sources).
orange alternatives and similar packages
Based on the "Science and Data Analysis" category.
Alternatively, view orange alternatives based on common mentions on social networks and blogs.
9.9 10.0 L2 orange VS PandasFlexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
9.1 9.6 L3 orange VS statsmodelsStatsmodels: statistical modeling and econometrics in Python
8.8 9.8 L4 orange VS PyMCProbabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
8.2 9.1 L2 orange VS BiopythonOfficial git repository for Biopython (originally converted from CVS)
IPython Parallel: Interactive Parallel Computing in Python
6.0 0.0 L3 orange VS CubesLight-weight Python OLAP framework for multi-dimensional data analysis
5.4 8.4 L3 orange VS bcbio-nextgenValidated, scalable, community developed variant calling, RNA-seq and small RNA analysis
1.7 7.8 orange VS KotoriA flexible data historian based on InfluxDB, Grafana, MQTT and more. Free, open, simple.
1.7 6.9 orange VS PatZillaPatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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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.
For easy installation, Download the latest released Orange version from our website. To install an add-on, head to
Options -> Add-ons... in the menu bar.
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 --yes --name orange3 conda activate orange3 # Install Orange conda install orange3
For installation of an add-on, use:
conda install orange3-<addon name>
Installing with pip
We recommend using our standalone installer or conda, but Orange is also installable with pip. You will need a C/C++ compiler (on Windows we suggest using Microsoft Visual Studio Build Tools).
Installing with winget (Windows only)
To install Orange with winget, run:
winget install --id UniversityofLjubljana.Orange
Ensure you've activated the correct virtual environment. If following the above conda instructions:
conda activate orange3
python3 -m Orange.canvas. Add
--help for a list of program options.
Starting up for the first time may take a while.
Want to write a widget? Use the Orange3 example add-on template.
Want to get involved? Join us on Discord, introduce yourself in #general!
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:
Additionally, add-ons implement additional widgets for more specific use cases. Anyone can write an add-on. Some of our first-party add-ons:
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,
create a conda environment, clone your fork, and install it:
conda create python=3 --yes --name orange3 conda activate orange3 git clone ssh://[email protected]/$MY_GITHUB_USERNAME/orange3 pip install -e orange3
Run Orange with
python -m Orange.canvas (after activating the conda environment).
python -m Orange.canvas -l 2 --no-splash --no-welcome will skip the splash screen and welcome window, and output more debug info. Use
-l 4 for more.
--clear-widget-settings to clear the widget settings before start.
To explore the dark side of the Orange, try
--help lists all available options.
To run tests, use
unittest Orange.tests Orange.widgets.tests
Setting up for development of all components
Should you wish to contribute Orange's base components (the widget base and the canvas), you must also clone these two repositories from Github instead of installing them as dependencies of Orange3.
First, fork all the repositories to which you want to contribute.
Set your GitHub username,
create a conda environment, clone your forks, and install them:
conda create python=3 --yes --name orange3 conda activate orange3 git clone ssh://[email protected]/$MY_GITHUB_USERNAME/orange-widget-base pip install -e orange-widget-base git clone ssh://[email protected]/$MY_GITHUB_USERNAME/orange-canvas-core pip install -e orange-canvas-core git clone ssh://[email protected]/$MY_GITHUB_USERNAME/orange3 pip install -e orange3 # Repeat for any add-on repositories
It's crucial to install
orange3 to ensure that
orange3 will use your local versions.