Orange Canvas Core is a framework for building graphical user interfaces for editing workflows. It is a component used to build the Orange Canvas (http://orange.biolab.si) data-mining application (for which it was developed in the first place).
Installation
Orange Canvas Core is pip installable (https://pip.pypa.io/), simply run:
pip install orange-canvas-core
Or use the:
pip install ./
to install from the sources.
Documentation
Some incomplete documentation is available at https://orange-canvas-core.readthedocs.io
Release files for orange-canvas-core 0.2.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| orange_canvas_core-0.2.9.tar.gz | 489.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| orange_canvas_core-0.2.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.0 MB
Release files / orange_canvas_core-0.2.9.tar.gz
| Download URL | orange_canvas_core-0.2.9.tar.gz |
|---|---|
| Size | 489.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / orange_canvas_core-0.2.9-py3-none-any.whl
| Download URL | orange_canvas_core-0.2.9-py3-none-any.whl |
|---|---|
| Size | 538.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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