wxPython

Cross platform GUI toolkit for Python, "Phoenix" version

Project description

Welcome to wxPython’s Project Phoenix! Phoenix is the improved next-generation wxPython, “better, stronger, faster than he was before.” This new implementation is focused on improving speed, maintainability and extensibility. Just like “Classic” wxPython, Phoenix wraps the wxWidgets C++ toolkit and provides access to the user interface portions of the wxWidgets API, enabling Python applications to have a native GUI on Windows, Macs or Unix systems, with a native look and feel and requiring very little (if any) platform specific code.

For more information please refer to the README file, the Migration Guide, or the wxPython API documentation.

Archive files containing a copy of the wxPython documentation, the demo and samples, and also a set of MSVC .pdb files for Windows are available here.

Project details

Release history Release notifications | RSS feed

4.2.0

Aug 8, 2022

4.1.1

Nov 25, 2020

4.1.0

Apr 24, 2020

4.0.7.post2

Nov 13, 2019

4.0.7.post1

Oct 29, 2019

4.0.7

Oct 25, 2019

4.0.6

May 22, 2019

4.0.5

May 20, 2019

4.0.4

Jan 6, 2019

4.0.3

Jun 27, 2018

4.0.2

Jun 18, 2018

4.0.1

Feb 2, 2018

4.0.0

Feb 1, 2018

4.0.0b2 pre-release

Sep 18, 2017

4.0.0b1 pre-release

Jul 24, 2017

4.0.0a3 pre-release

Jun 5, 2017

This version

4.0.0a2 pre-release

May 9, 2017

4.0.0a1 pre-release

Apr 16, 2017

2.9.1.1

Nov 1, 2010

2.8.11.0

Nov 1, 2010

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wxPython-4.0.0a2.tar.gz (50.8 MB view hashes)

Uploaded May 9, 2017 source

Built Distributions

wxPython-4.0.0a2-cp36-cp36m-win_amd64.whl (21.1 MB view hashes)

Uploaded May 9, 2017 cp36

wxPython-4.0.0a2-cp36-cp36m-win32.whl (12.3 MB view hashes)

Uploaded May 9, 2017 cp36

wxPython-4.0.0a2-cp36-cp36m-macosx_10_6_intel.whl (34.2 MB view hashes)

Uploaded May 9, 2017 cp36

wxPython-4.0.0a2-cp35-cp35m-win_amd64.whl (21.1 MB view hashes)

Uploaded May 9, 2017 cp35

wxPython-4.0.0a2-cp35-cp35m-win32.whl (12.3 MB view hashes)

Uploaded May 9, 2017 cp35

wxPython-4.0.0a2-cp35-cp35m-macosx_10_6_intel.whl (34.2 MB view hashes)

Uploaded May 9, 2017 cp35

wxPython-4.0.0a2-cp27-cp27m-win_amd64.whl (21.0 MB view hashes)

Uploaded May 9, 2017 cp27

wxPython-4.0.0a2-cp27-cp27m-win32.whl (12.1 MB view hashes)

Uploaded May 9, 2017 cp27

wxPython-4.0.0a2-cp27-cp27m-macosx_10_6_intel.whl (34.1 MB view hashes)

Uploaded May 9, 2017 cp27

Hashes for wxPython-4.0.0a2.tar.gz

Hashes for wxPython-4.0.0a2.tar.gz
Algorithm	Hash digest
SHA256	`3acd5160d69f56b588476d1907eff67b53ad58fb2eba4dedabcdc3490d170338`
MD5	`c03df2ec3b6a8721cbb9a75889bbc586`
BLAKE2-256	`3e264d66ab7b6097b1ccdc313a7250ce97be914dd913d9e3480b710865bd34c5`

Hashes for wxPython-4.0.0a2-cp36-cp36m-win_amd64.whl

Hashes for wxPython-4.0.0a2-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`a6f59b81dbaced8e0d1a37a0016bed61774e2b8cd1ea24c62615f30c9c4a6139`
MD5	`3e5382c009a2390c52739b5180179c05`
BLAKE2-256	`4c5032c6d42d1f933b18df6e1d595218bc7a9bb20724b2af70b1410fe8be9679`

Hashes for wxPython-4.0.0a2-cp36-cp36m-win32.whl

Hashes for wxPython-4.0.0a2-cp36-cp36m-win32.whl
Algorithm	Hash digest
SHA256	`211f7856a72e1f5647bd48db5d785e8fe6a214fd0afcac53c25ab42cc56e5099`
MD5	`e6d16080ac809e5e468f8c5ce8c7f345`
BLAKE2-256	`c7ea167a7ebf433c9520118875dad629cb94f52f41685e46b8b158b4f61d8f81`

Hashes for wxPython-4.0.0a2-cp36-cp36m-macosx_10_6_intel.whl

Hashes for wxPython-4.0.0a2-cp36-cp36m-macosx_10_6_intel.whl
Algorithm	Hash digest
SHA256	`97b751c736fcbf11762681b35732b8ecd26caf486f340a983269b6ed7163fa16`
MD5	`7501e00e947e70a5856b4f431153e71d`
BLAKE2-256	`1729a297dae4c5e4de31a42c1921233dd8c835cfbb322f21c84907c266ed5022`

Hashes for wxPython-4.0.0a2-cp35-cp35m-win_amd64.whl

Hashes for wxPython-4.0.0a2-cp35-cp35m-win_amd64.whl
Algorithm	Hash digest
SHA256	`5dbbe31b4cbcde6edf6dcda1d500f6d3fd1dc45bb1fd2efb13ac95cde38c4485`
MD5	`5e3dc6390ba16b1fa2806f522d1e1d42`
BLAKE2-256	`5a30bb6095faaead6400b02bb5a780a2b8e8cff649fe5a3a47ac52d440c6d49f`

Hashes for wxPython-4.0.0a2-cp35-cp35m-win32.whl

Hashes for wxPython-4.0.0a2-cp35-cp35m-win32.whl
Algorithm	Hash digest
SHA256	`5705fa02747bfad37c7745fddbd56c984f288a9516fee39fb12aaf7df8e59a50`
MD5	`340ff05147abdcb8e784a7b247f905bc`
BLAKE2-256	`bd4e05f21bf08975fcbd81c4197b32bb63711cf8bf9aebbcc0cd3d7d84964203`

Hashes for wxPython-4.0.0a2-cp35-cp35m-macosx_10_6_intel.whl

Hashes for wxPython-4.0.0a2-cp35-cp35m-macosx_10_6_intel.whl
Algorithm	Hash digest
SHA256	`183a78f0a6a66788a521951667f7baba64c4dc2c0151f108aa84af4afa41e4f2`
MD5	`f8c531d2702d898f57f833a92f1fafc4`
BLAKE2-256	`dff6b5a94c871921696fc4e546436ea6e70085209fd608027a56342648c1919d`

Hashes for wxPython-4.0.0a2-cp27-cp27m-win_amd64.whl

Hashes for wxPython-4.0.0a2-cp27-cp27m-win_amd64.whl
Algorithm	Hash digest
SHA256	`faee8f7a67d9665cfbd988d589ed6b50da27b40eed1f3d2c0d68ed7d64b1578d`
MD5	`793dc4d862762b97d55e5af55ed021f1`
BLAKE2-256	`f8fd2229fd6bad5e8aad701f3dc6f38f985db86817b3b75728cdc0fb17e91cde`

Hashes for wxPython-4.0.0a2-cp27-cp27m-win32.whl

Hashes for wxPython-4.0.0a2-cp27-cp27m-win32.whl
Algorithm	Hash digest
SHA256	`b4dbc790a0a9899994cfd71bfe3370c3f382ae66a9e292f373e8cefc2ef911a9`
MD5	`fb45aab0880656d969fdff1f89211608`
BLAKE2-256	`7d275254212eab9edee1b9331f18a46a65f820261965833e8caee3c88155d117`

Hashes for wxPython-4.0.0a2-cp27-cp27m-macosx_10_6_intel.whl

Hashes for wxPython-4.0.0a2-cp27-cp27m-macosx_10_6_intel.whl
Algorithm	Hash digest
SHA256	`ac57540628d1d18bf5edaa30feb451c88b2e89844cf1bcc8b6bef8f2155ed7c5`
MD5	`18c0e6f9e5345e101f1b8862290637ce`
BLAKE2-256	`684d07cf772111d9ef1b679b15b5a8afcadba70e03f6c4ea09ec092fa8bf12b6`