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
Metadata
Release files for orange-canvas-core-ml 0.1.27
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-ml-0.1.27.tar.gz | 518.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| orange_canvas_core_ml-0.1.27-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.1 MB
Release files / orange-canvas-core-ml-0.1.27.tar.gz
| Download URL | orange-canvas-core-ml-0.1.27.tar.gz |
|---|---|
| Size | 518.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.0 CPython/3.8.13
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Release files / orange_canvas_core_ml-0.1.27-py3-none-any.whl
| Download URL | orange_canvas_core_ml-0.1.27-py3-none-any.whl |
|---|---|
| Size | 580.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.13
|