Python bindings for the RakNet networking library

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for vincent-wu from gravatar.com vincent-wu

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD 3-Clause License Copyright (c) 2024, Vincent (Zhengyu) Wu Redistribution and use in source and...)
  • Author: Vincent Wu
  • Tags python, raknet, network
  • Requires: Python >=3.9
Classifiers

Project description

raknet-python

Build Read the Docs PyPI - Version GitHub License Python Code style: black

Python bindings for the RakNet networking library

🛠 Installation

📦 From PyPi

pip install raknet

or

🎯 Build locally

git clone https://github.com/wu-vincent/raknet-python.git
cd raknet-python
pip install conan
conan export raknet --version 4.081
conan install . --build=missing -c tools.cmake.cmaketoolchain:generator=Ninja
pip install .

🚀 Usage

We are working on making this project ready and will drop the usage documentation soon. Stay tuned! ⏳

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for vincent-wu from gravatar.com vincent-wu

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD 3-Clause License Copyright (c) 2024, Vincent (Zhengyu) Wu Redistribution and use in source and...)
  • Author: Vincent Wu
  • Tags python, raknet, network
  • Requires: Python >=3.9
Classifiers

Release history Release notifications | RSS feed

This version

0.3.0

0.2.0

0.1.0

Download files

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

Source Distribution

raknet-0.3.0.tar.gz (14.7 kB view details)

Uploaded Source

Built Distributions

raknet-0.3.0-pp310-pypy310_pp73-win_amd64.whl (167.2 kB view details)

Uploaded PyPy Windows x86-64

raknet-0.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288.6 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

raknet-0.3.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl (250.2 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

raknet-0.3.0-pp39-pypy39_pp73-win_amd64.whl (167.2 kB view details)

Uploaded PyPy Windows x86-64

raknet-0.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288.6 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

raknet-0.3.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (250.1 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

raknet-0.3.0-cp312-cp312-win_amd64.whl (167.8 kB view details)

Uploaded CPython 3.12 Windows x86-64

raknet-0.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (289.9 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

raknet-0.3.0-cp312-cp312-macosx_10_9_x86_64.whl (253.3 kB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

raknet-0.3.0-cp311-cp311-win_amd64.whl (168.5 kB view details)

Uploaded CPython 3.11 Windows x86-64

raknet-0.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (290.0 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

raknet-0.3.0-cp311-cp311-macosx_10_9_x86_64.whl (252.0 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

raknet-0.3.0-cp310-cp310-win_amd64.whl (167.8 kB view details)

Uploaded CPython 3.10 Windows x86-64

raknet-0.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288.9 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

raknet-0.3.0-cp310-cp310-macosx_10_9_x86_64.whl (250.6 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

raknet-0.3.0-cp39-cp39-win_amd64.whl (165.3 kB view details)

Uploaded CPython 3.9 Windows x86-64

raknet-0.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (289.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

raknet-0.3.0-cp39-cp39-macosx_10_9_x86_64.whl (250.6 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

File details

Details for the file raknet-0.3.0.tar.gz.

File metadata

  • Download URL: raknet-0.3.0.tar.gz
  • Upload date:
  • Size: 14.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for raknet-0.3.0.tar.gz
Algorithm Hash digest
SHA256 bcd22be4fe3f4d8c512fbfae0f91d603e21e786ccfa2f439fda8efb29af9bb6e
MD5 dfa35d6584000971a795a8fd00d51268
BLAKE2b-256 a37b27739e95c528162e424a766c119c5a10c7318b547b1cf38236af94cfb559

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for raknet-0.3.0-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 c2f58033dd0b72629153a98b6a743c65c341ed65233883500c1f2122f06d4573
MD5 f53b4802a79c8be3cc93665879e8d10c
BLAKE2b-256 8093e32a70d3549d16dc9b381976a0121c17ee1f69abb6a99619b4b282923f23

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for raknet-0.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dac7542e7fff406e9ba0d19cd39b3ce8f17a48ded7457c7e01ef212c86affa3c
MD5 b645cdefb694b13b0a25fd66ea139a93
BLAKE2b-256 4a1cefadf9879a2bfa4d5503f4edbde52a2318f8f87fa01ba123abbe302c3f38

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for raknet-0.3.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8034499f30257e2b294a7ed16078b88dab1ef379b0170604615bfbdbab991bd9
MD5 2ddab9764d9ab49e52728abb0ec244b9
BLAKE2b-256 a45b31e4afd7c335639b7a77697a0c4dbb0e91065195a8a80275e0ced19e6c77

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for raknet-0.3.0-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 c461d4daefda6bc2b375fa2da0b4194e9973b69fcbd44418f1ff8213223259cf
MD5 ac83bdb7c3a98b7e54730674af14d8b4
BLAKE2b-256 371909ed19725f56f82ccde510e653183dbc40a91bf148237475a5e5018dca0f

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for raknet-0.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b7d8edff49e29c487ad7f0531fa0e8b5c40a898d0603db37a4aa93c58ec2cb5d
MD5 5571e24e19a5e590543090ffb18e03be
BLAKE2b-256 cde0ff4484c79d44558b4107891094dcaf1e637fa0a37d55db568bfd8a2923e6

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for raknet-0.3.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0a3a41c1916f2e8be21f4f2301f7c4e2b8847d5082718944b3891aec7bb09f16
MD5 d51b780759c060361d70378de5bb7a9a
BLAKE2b-256 96ed62b2a1b0e430f78d1332bdf0f0a365010313ce1d837fb3c52fefa946e090

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: raknet-0.3.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 167.8 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for raknet-0.3.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 476d791c6ef5cb37bc1a8450cc9aacb0cf1be19a998b6a1af4a3ed800d2b86c1
MD5 40aaa7ed18d9273bfc0aa4974433a372
BLAKE2b-256 a581a29780362d7d52bd5debb25b869dbe0690cd59048a74dd107ce33686ae00

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for raknet-0.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4d59c42b9cdce9b02c3b4671c09fdbda34e49b188e1f2f84e04d3ed8707df86f
MD5 f84ed573cc4eefe129f950579311ef37
BLAKE2b-256 d26204796f2f06fb65bc50afdd5e91637bbe328caae3ea10014751ac8a5f6c74

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for raknet-0.3.0-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3b17a9744bdf5e59456ceab2721d0cda1c537ceb53411e3e32f9083f5a69b679
MD5 9583e77fc51b2e1ded4a925fdac4a967
BLAKE2b-256 9e236b7510095fd04a932e40e8f9d33d121cfc9e0882c3a08cafe472ac644fac

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: raknet-0.3.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 168.5 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for raknet-0.3.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 197d0b63da9f736eae35016ac4c87ca3473f5057c52c057030fc401a47596973
MD5 a75d6c1887539b2d1373e760ace1336f
BLAKE2b-256 f6f9ac7b77a1df5bc8f9fe477464e4e71fa1892bc9d50bc98eba74e223a60739

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for raknet-0.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1524150a4b90ebdd45b5530bf355055aba5a23550d586ef4bbb65d321d78081e
MD5 b6a01f904a94200e81a274587eb3a9e6
BLAKE2b-256 9e4ba06152400c4ee625a0296b054fb3b518bebe36115039a041984558f73e38

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for raknet-0.3.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3d48ec3d04ed0a11dfa51b4f820a5617c3e6117f55645ceb9a3526c8de176568
MD5 ba8bcc9c0dd51e47ccec011bc207173b
BLAKE2b-256 46339e6f88ee73ece168c64758c32bda1b214502ae0436926122e404635846f7

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: raknet-0.3.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 167.8 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for raknet-0.3.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 61ed002896f2e9c04830a1fc6f4d0ee52f3fee4b8357bc354e26e0f88e4535b8
MD5 c23c506ed679b1fea46c37e69381520d
BLAKE2b-256 37c551ba72b094a83f19e8d771e3dad317723b677d358f0fa4ee13710280d028

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for raknet-0.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 03d35e4566bfa3a6429ab913ade10debc1413db5f251461b5108f08ba84e5cd8
MD5 892600b0653607de469112d7ebc08bbc
BLAKE2b-256 4c051d49f81c482e8788ecf1234ac65ebbe4cef8906d126e2976aa0fa1d96263

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for raknet-0.3.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2d619a1a21db9910da946793405102ba65c8963331bae800764a98362193055e
MD5 900e1c354c7d12fccef7f300d0c5b856
BLAKE2b-256 471910c35561346e0400f699e95d9f84a7cb598f9451b11e3dfa8eb63a162665

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: raknet-0.3.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 165.3 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for raknet-0.3.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3ff61fb850390c24894e4f3ea549fe311f980099535e6f4de1f7858fedee4bd4
MD5 b7499733662a2df9264c501b9125b80b
BLAKE2b-256 757ce1a1110682a0e8f080b2eb031bf04989809595da97df112523000a2553fa

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for raknet-0.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b8b031b2b80c99a026259df45b624f17bf52d2c3f98c8d21715eda164b09b788
MD5 6a251821cf7bdb52f1d9475a365e0332
BLAKE2b-256 ed2b9a76c2bb3a17d4ec260295020ca4546e42c3d9b87556fd56e93875043e63

See more details on using hashes here.

File details

Details for the file raknet-0.3.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for raknet-0.3.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6f86ab003953cb0b51d82d8159bb40d3983f7be7a8eb89b8148cade6ef7581b2
MD5 d1557dab2a9e6774e40c81028030c297
BLAKE2b-256 5fc5f0d70e6eb768d9a2a16ebf8225b359d58d5a2585c4ec88824346836698ac

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