Orange 3
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 the latest version of Orange (for Python 3). The deprecated version of Orange 2.7 (for Python 2.7) is still available (binaries and sources).
Installing with pip
To install Orange with pip, run the following.
# Install some build requirements via your system's package manager
sudo apt install virtualenv 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
# Install Orange
pip install orange3
Starting Orange GUI
To start Orange GUI from the command line, run:
orange-canvas
# or
python3 -m Orange.canvas
Append --help for a list of program options.
Release files for Orange3 3.40.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| orange3-3.40.0.tar.gz | 4.1 MB | Details |
Built distributions (wheels)
Total release size: 100.5 MB
Release files / orange3-3.40.0.tar.gz
| Download URL | orange3-3.40.0.tar.gz |
|---|---|
| Size | 4.1 MB |
| Tags | Source |
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250239e67b08c30e871c6ef3ed0bf9938c5bceb996fccdc2a6f656c669680bf8
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / orange3-3.40.0-cp310-cp310-macosx_10_9_x86_64.whl
| Download URL | orange3-3.40.0-cp310-cp310-macosx_10_9_x86_64.whl |
|---|---|
| Size | 3.7 MB |
| Tags | CPython 3.10 macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
4c0718c29d9de9a5353feba5ea73755e3ce474373dad1bfd0ccd8a87280e10ed
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BLAKE2b-256 checksum How to use checksums |
71653f36b290fe768ac5c9fbc4ab7f4da2dfed823764b4ebbc588368e1de039c
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
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Transparency log