Core component of Orange Canvas
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
orange-canvas-core-0.1.27.tar.gz
(434.5 kB
view details)
Built Distribution
File details
Details for the file orange-canvas-core-0.1.27.tar.gz
.
File metadata
- Download URL: orange-canvas-core-0.1.27.tar.gz
- Upload date:
- Size: 434.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.0 keyring/23.5.0 rfc3986/1.5.0 colorama/0.4.4 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c8ffece2e1c5922bec11a02c111296c0690ba5a48c9c4c2c827ecaa9e603995f |
|
MD5 | 1e19e06c6110e52a953ab12a0003a0ff |
|
BLAKE2b-256 | c6c7b3486feea14cb7c59271d202df1250da432bde22e8ec22a13d672c810447 |
File details
Details for the file orange_canvas_core-0.1.27-py3-none-any.whl
.
File metadata
- Download URL: orange_canvas_core-0.1.27-py3-none-any.whl
- Upload date:
- Size: 496.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.0 keyring/23.5.0 rfc3986/1.5.0 colorama/0.4.4 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7f077ff78dc875c3df103c83a0135532378d259156aee751853feeadfc1442fc |
|
MD5 | edf276fe957c0f069bb1c2ca8fd529f2 |
|
BLAKE2b-256 | 34153371a6efc76ce56a9c33641c8395d614261e67ccb3e037988429c0d8bf79 |