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https://github.com/biolab/orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
https://github.com/biolab/orange3
classification clustering data-mining data-science data-visualization decision-trees machine-learning numpy orange orange3 pandas plotting python random-forest regression scikit-learn scipy visual-programming visualization
Last synced: 10 days ago
JSON representation
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
- Host: GitHub
- URL: https://github.com/biolab/orange3
- Owner: biolab
- License: other
- Created: 2013-02-22T12:52:56.000Z (over 11 years ago)
- Default Branch: master
- Last Pushed: 2024-05-10T13:29:54.000Z (6 months ago)
- Last Synced: 2024-05-13T10:28:48.457Z (6 months ago)
- Topics: classification, clustering, data-mining, data-science, data-visualization, decision-trees, machine-learning, numpy, orange, orange3, pandas, plotting, python, random-forest, regression, scikit-learn, scipy, visual-programming, visualization
- Language: Python
- Homepage: https://orangedatamining.com
- Size: 96.1 MB
- Stars: 4,627
- Watchers: 182
- Forks: 982
- Open Issues: 121
-
Metadata Files:
- Readme: README-dev.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Roadmap: ROADMAP.md
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README
Orange development
==================
The source code of [Orange] is versioned in [Git] and hosted on [GitHub].
If you want to contribute to this open-source project you will have to use git. However, for minor experimentation with the source code you can also get by without.
[Orange]: https://orange.biolab.si/
[Git]: https://git-scm.com/
[GitHub]: https://github.com/biolab/orange
Prerequisites
-------------
[Orange] is written mostly in Python, therefore you'll need [Python 3] version 3.6 or newer.
You will also need a C/C++ compiler. On Windows, you can get one by installing [Visual Studio].
A slightly more "minimalistic" option is to install only its [Build Tools].
[Python 3]: https://www.python.org
[Visual Studio]: https://visualstudio.microsoft.com/vs/
[Build Tools]: https://visualstudio.microsoft.com/visual-cpp-build-tools/
Source code
-----------
Get the source code by cloning the git repository
git clone https://github.com/biolab/orange3.git
or, alternatively, download and unpack the [ZIP archive] of the source code from [GitHub].
[ZIP archive]: https://github.com/biolab/orange3/archive/master.zip
Building
--------
Consider using virtual environments to avoid package conflicts.
Install the required Python packages
pip install -r requirements.txt
and run the setup script with a development option, which will link to the source code instead of creating a new package in Python's site-packages.
python setup.py develop
Verify the installation by importing the Orange package from Python and loading an example Iris dataset.
>>> import Orange
>>> print(Orange.data.Table("iris")[0])
[5.1, 3.5, 1.4, 0.2 | Iris-setosa]
Using the graphic user interface requires some additional packages.
pip install -r requirements-gui.txt
To start Orange GUI from the command line, run:
python3 -m Orange.canvas
Contributing
------------
If you've made improvements that you want to contribute, you'll need your own fork of the [GitHub] repository. After committing and pushing changes to your fork, you can create a pull request. We will review your contribution and hopefully merge it after any potential corrections.
You can view the list of open [pull requests] and known [issues] on GitHub.
[pull requests]: https://github.com/biolab/orange3/pulls
[issues]: https://github.com/biolab/orange3/issues