Skip to main content

Core component of Orange Canvas

Project description

Github Actions CI Build Status Documentation Status

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


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)

Uploaded Source

Built Distribution

orange_canvas_core-0.1.27-py3-none-any.whl (496.8 kB view details)

Uploaded Python 3

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

Hashes for orange-canvas-core-0.1.27.tar.gz
Algorithm Hash digest
SHA256 c8ffece2e1c5922bec11a02c111296c0690ba5a48c9c4c2c827ecaa9e603995f
MD5 1e19e06c6110e52a953ab12a0003a0ff
BLAKE2b-256 c6c7b3486feea14cb7c59271d202df1250da432bde22e8ec22a13d672c810447

See more details on using hashes here.

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

Hashes for orange_canvas_core-0.1.27-py3-none-any.whl
Algorithm Hash digest
SHA256 7f077ff78dc875c3df103c83a0135532378d259156aee751853feeadfc1442fc
MD5 edf276fe957c0f069bb1c2ca8fd529f2
BLAKE2b-256 34153371a6efc76ce56a9c33641c8395d614261e67ccb3e037988429c0d8bf79

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page