Cross platform GUI toolkit for Python, "Phoenix" version

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for robind from gravatar.com robind Avatar for swt2c from gravatar.com swt2c Avatar for tierra from gravatar.com tierra Avatar for VZ from gravatar.com VZ

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: OSI Approved (wxWindows Library License (https://opensource.org/licenses/wxwindows.php))
  • Author: Robin Dunn
  • Tags GUI, wx, wxWindows, wxWidgets, cross-platform, user-interface, awesome
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for robind from gravatar.com robind Avatar for swt2c from gravatar.com swt2c Avatar for tierra from gravatar.com tierra Avatar for VZ from gravatar.com VZ

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: OSI Approved (wxWindows Library License (https://opensource.org/licenses/wxwindows.php))
  • Author: Robin Dunn
  • Tags GUI, wx, wxWindows, wxWidgets, cross-platform, user-interface, awesome
Classifiers

Release history Release notifications | RSS feed

4.2.2

4.2.1

4.2.0

4.1.1

4.1.0

4.0.7.post2

4.0.7.post1

4.0.7

4.0.6

4.0.5

4.0.4

4.0.3

4.0.2

4.0.1

4.0.0

4.0.0b2 pre-release

This version

4.0.0b1 pre-release

4.0.0a3 pre-release

4.0.0a2 pre-release

4.0.0a1 pre-release

2.9.1.1

2.8.11.0

Download files

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

Source Distribution

wxPython-4.0.0b1.tar.gz (50.6 MB view details)

Uploaded Source

Built Distributions

wxPython-4.0.0b1-cp36-cp36m-win_amd64.whl (21.2 MB view details)

Uploaded CPython 3.6m Windows x86-64

wxPython-4.0.0b1-cp36-cp36m-win32.whl (12.3 MB view details)

Uploaded CPython 3.6m Windows x86

wxPython-4.0.0b1-cp36-cp36m-macosx_10_6_intel.whl (34.4 MB view details)

Uploaded CPython 3.6m macOS 10.6+ intel

wxPython-4.0.0b1-cp35-cp35m-win_amd64.whl (21.2 MB view details)

Uploaded CPython 3.5m Windows x86-64

wxPython-4.0.0b1-cp35-cp35m-win32.whl (12.3 MB view details)

Uploaded CPython 3.5m Windows x86

wxPython-4.0.0b1-cp35-cp35m-macosx_10_6_intel.whl (34.4 MB view details)

Uploaded CPython 3.5m macOS 10.6+ intel

wxPython-4.0.0b1-cp34-cp34m-win_amd64.whl (20.9 MB view details)

Uploaded CPython 3.4m Windows x86-64

wxPython-4.0.0b1-cp34-cp34m-win32.whl (12.4 MB view details)

Uploaded CPython 3.4m Windows x86

wxPython-4.0.0b1-cp34-cp34m-macosx_10_6_intel.whl (34.4 MB view details)

Uploaded CPython 3.4m macOS 10.6+ intel

wxPython-4.0.0b1-cp27-cp27m-win_amd64.whl (21.1 MB view details)

Uploaded CPython 2.7m Windows x86-64

wxPython-4.0.0b1-cp27-cp27m-win32.whl (12.1 MB view details)

Uploaded CPython 2.7m Windows x86

wxPython-4.0.0b1-cp27-cp27m-macosx_10_6_intel.whl (34.4 MB view details)

Uploaded CPython 2.7m macOS 10.6+ intel

File details

Details for the file wxPython-4.0.0b1.tar.gz.

File metadata

  • Download URL: wxPython-4.0.0b1.tar.gz
  • Upload date:
  • Size: 50.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for wxPython-4.0.0b1.tar.gz
Algorithm Hash digest
SHA256 5989b1398d694c269747cd9399241242fbabeef14097b8866725994342880554
MD5 83bfed89a46b489a4a93437199e6e598
BLAKE2b-256 beb5fc263904687769cb1db2801fb2899f461bd6a7d65f729455cd378456ac41

See more details on using hashes here.

File details

Details for the file wxPython-4.0.0b1-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for wxPython-4.0.0b1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 aaaebee4833004681b49d949ad11fedd5ee734db0b108a185776e3dd8298736e
MD5 80fe9284cdbe35d5b4b9312398647ace
BLAKE2b-256 0d0ed961fec97db8544bbcc09cd9195f2c122f0ea1555f75a6a15c397008d745

See more details on using hashes here.

File details

Details for the file wxPython-4.0.0b1-cp36-cp36m-win32.whl.

File metadata

File hashes

Hashes for wxPython-4.0.0b1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 e25f3e78c855dcdf1338bc667a60ba4b652408e1024797a706a0207b66f2ed4e
MD5 55967961fcbd5c19d95b513d3c4c344a
BLAKE2b-256 ad6d4e85fbe0e05861018188cbacc463fb49bebb1a68dbbb77313d4e8d4a4438

See more details on using hashes here.

File details

Details for the file wxPython-4.0.0b1-cp36-cp36m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for wxPython-4.0.0b1-cp36-cp36m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 0442b2bcdcd238875dccfdda5a9e9532167ab2385052fabbb00dd4596c2e2b3b
MD5 9b7f5d9c902661553bdbdcf0d458ec75
BLAKE2b-256 ddfe07a9534e2ca576d544de5db62f84952ad2e22d1c5c996c8137578b0dfd81

See more details on using hashes here.

File details

Details for the file wxPython-4.0.0b1-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for wxPython-4.0.0b1-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 95c9977feb518910278758cf2487c74bed1fa5fe767c4224ff3e74bec9f07a15
MD5 227c8387454cd128525b7329ac43315d
BLAKE2b-256 6e365442fd241715d5a57a1fca85d6ca3926105eebe1c9227a462c8f53af1499

See more details on using hashes here.

File details

Details for the file wxPython-4.0.0b1-cp35-cp35m-win32.whl.

File metadata

File hashes

Hashes for wxPython-4.0.0b1-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 b2d54445614b6f13952789b4f1b9fb2117160afdd17a1af3b651cad83e2039ca
MD5 4f0f227b6b8dfd989b90b0154498a078
BLAKE2b-256 97e9d4d773a2546b9c11968bfc5b12489dcf05e7d8b3f52f0f4479d9e52598b9

See more details on using hashes here.

File details

Details for the file wxPython-4.0.0b1-cp35-cp35m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for wxPython-4.0.0b1-cp35-cp35m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 e059c4eb45d86b7b9d8b46c0a68c232feb787a9458b867f6f0e2478cac2eb1aa
MD5 1cad3ad0b13f05a45239e264d9bd5cfa
BLAKE2b-256 16b21e1bcce1c2d528deb4ce36d59b468628f3f460c946f49df37ab7cd009d1b

See more details on using hashes here.

File details

Details for the file wxPython-4.0.0b1-cp34-cp34m-win_amd64.whl.

File metadata

File hashes

Hashes for wxPython-4.0.0b1-cp34-cp34m-win_amd64.whl
Algorithm Hash digest
SHA256 617775f3a770f2951b1bd7f555dd8d3d5fb47ce4eff05d62638dc367dfea230b
MD5 f7e0b2274e86e847ed109241a121f7bd
BLAKE2b-256 dbadfb3c1dc9971b34f63bed67143d72bf4c076abc3c9d948ebcb2ebb5af1053

See more details on using hashes here.

File details

Details for the file wxPython-4.0.0b1-cp34-cp34m-win32.whl.

File metadata

File hashes

Hashes for wxPython-4.0.0b1-cp34-cp34m-win32.whl
Algorithm Hash digest
SHA256 47fdfbfa4f904994ef563e7cc7444b93cb7281ce286dc449980f739782ca91fd
MD5 3934b4cbedf706c87fda78a95ce0355f
BLAKE2b-256 57de9c35b7de26578a5f2da1187ceb3a7ed8b05019ae1622f8ac54c914288f87

See more details on using hashes here.

File details

Details for the file wxPython-4.0.0b1-cp34-cp34m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for wxPython-4.0.0b1-cp34-cp34m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 d5dd2da466a351838fd81b9c3b7a116edc0755d6e90e258d3d7be27a284c0825
MD5 f8c87d7f6d66f3710758b75491ef1f78
BLAKE2b-256 785b122028e52783b4607b8bb5680e6858d7c4ab54beabe1e7e7b415ce845445

See more details on using hashes here.

File details

Details for the file wxPython-4.0.0b1-cp27-cp27m-win_amd64.whl.

File metadata

File hashes

Hashes for wxPython-4.0.0b1-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 a1a16df738a0a24727a27723bbfb527110ea88b1eb277b63890f5338b5c651eb
MD5 78d4cc72570f1cf723b18e9eefe2f42a
BLAKE2b-256 0beb565725f4cd1537e293dbab6c9d9262b0f2f536c5840592f9b512910baad9

See more details on using hashes here.

File details

Details for the file wxPython-4.0.0b1-cp27-cp27m-win32.whl.

File metadata

File hashes

Hashes for wxPython-4.0.0b1-cp27-cp27m-win32.whl
Algorithm Hash digest
SHA256 450429975bef4f6f4fde1e4f54f3a593b5143fd5b1a719a51ba4c43a2783c4e7
MD5 1b71fc366e9af35aa4bb73d657faad21
BLAKE2b-256 f0a6ed50277633b5b0d39560a2e6821a65190ceb888dab75e29f54a10412514e

See more details on using hashes here.

File details

Details for the file wxPython-4.0.0b1-cp27-cp27m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for wxPython-4.0.0b1-cp27-cp27m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 b8041a28f71a14e690a4909120eb81aadfbb5133df1c73f16dcb4aeef737664d
MD5 9b85c63c9813729a0eb8c29f9d0b5fb7
BLAKE2b-256 b0548798a5e92cfd5ffe5d0378a9e372bc145cce46c5d1ddf956e5e466c9bd23

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