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About pyqtwebkit

Home: http://www.riverbankcomputing.co.uk/software/pyqt

Package license: Commercial, GPL-2.0, GPL-3.0

Feedstock license: BSD 3-Clause

Summary: Python binding of the cross-platform GUI toolkit Qt. QtWebKit only.

"PyQt is a set of Python v2 and v3 bindings for The Qt Company's Qt application framework and runs on all platforms supported by Qt including Windows, MacOS/X and Linux. PyQt5 supports Qt v5. PyQt4 supports Qt v4 and will build against Qt v5. The bindings are implemented as a set of Python modules and contain over 1,000 classes."

Current build status

![ppc64le disabled](https://img.shields.io/badge/ppc64le-disabled-lightgrey.svg)
Appveyor windows
Azure
VariantStatus
linux_python2.7 variant
linux_python3.6 variant
linux_python3.7 variant
osx_python2.7 variant
osx_python3.6 variant
osx_python3.7 variant
win_c_compilervs2015cxx_compilervs2015python3.6 variant
win_c_compilervs2015cxx_compilervs2015python3.7 variant

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing pyqtwebkit

Installing pyqtwebkit from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge

Once the conda-forge channel has been enabled, pyqtwebkit can be installed with:

conda install pyqtwebkit

It is possible to list all of the versions of pyqtwebkit available on your platform with:

conda search pyqtwebkit --channel conda-forge

About conda-forge

Powered by NumFOCUS

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by CircleCI, AppVeyor and TravisCI it is possible to build and upload installable packages to the conda-forge Anaconda-Cloud channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating pyqtwebkit-feedstock

If you would like to improve the pyqtwebkit recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/pyqtwebkit-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

  • If the version of a package is not being increased, please add or increase the build/number.
  • If the version of a package is being increased, please remember to return the build/number back to 0.

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  • Shell 77.6%
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  • Python 8.4%