Skip to main content

No project description provided

Project description

pyrtls: rustls-based TLS for Python

Aims to be more secure, faster replacement for the venerable ssl module. Uses rustls as the backing implementation.

WARNING: this is currently a technology preview. There might be bugs. (That said, it is unlikely that there will be security vulnerabilities, since this library just implements a thin wrapper over the core rustls library API.)

Why?

To bring the security and performance of rustls to the Python world.

So far this, this is a side project. Please consider helping out:

  • Please help fund this work on GitHub Sponsors
  • Pull requests welcome, of course!
  • Feedback through issues is highly appreciated

Features

  • Basic socket wrapper support, similar to the ssl module
  • (Not yet implemented:) sans-I/O TLS connection support
  • Uses the OS certificate trust store for clients by default
  • Better performance than OpenSSL

Limitations

  • Basically no features implemented yet
  • There's not currently any documentation

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

pyrtls-0.1.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pyrtls-0.1.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pyrtls-0.1.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pyrtls-0.1.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pyrtls-0.1.2-cp312-none-win_amd64.whl (958.6 kB view details)

Uploaded CPython 3.12 Windows x86-64

pyrtls-0.1.2-cp312-none-win32.whl (695.7 kB view details)

Uploaded CPython 3.12 Windows x86

pyrtls-0.1.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pyrtls-0.1.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (1.1 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

pyrtls-0.1.2-cp312-cp312-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

pyrtls-0.1.2-cp312-cp312-macosx_10_12_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

pyrtls-0.1.2-cp311-none-win_amd64.whl (959.0 kB view details)

Uploaded CPython 3.11 Windows x86-64

pyrtls-0.1.2-cp311-none-win32.whl (699.2 kB view details)

Uploaded CPython 3.11 Windows x86

pyrtls-0.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pyrtls-0.1.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (1.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

pyrtls-0.1.2-cp311-cp311-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

pyrtls-0.1.2-cp311-cp311-macosx_10_12_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

pyrtls-0.1.2-cp310-none-win_amd64.whl (958.9 kB view details)

Uploaded CPython 3.10 Windows x86-64

pyrtls-0.1.2-cp310-none-win32.whl (699.4 kB view details)

Uploaded CPython 3.10 Windows x86

pyrtls-0.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pyrtls-0.1.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (1.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

pyrtls-0.1.2-cp310-cp310-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

pyrtls-0.1.2-cp310-cp310-macosx_10_12_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

pyrtls-0.1.2-cp39-none-win_amd64.whl (959.2 kB view details)

Uploaded CPython 3.9 Windows x86-64

pyrtls-0.1.2-cp39-none-win32.whl (699.7 kB view details)

Uploaded CPython 3.9 Windows x86

pyrtls-0.1.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pyrtls-0.1.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (1.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pyrtls-0.1.2-cp39-cp39-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

pyrtls-0.1.2-cp39-cp39-macosx_10_12_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

pyrtls-0.1.2-cp38-none-win_amd64.whl (958.9 kB view details)

Uploaded CPython 3.8 Windows x86-64

pyrtls-0.1.2-cp38-none-win32.whl (699.0 kB view details)

Uploaded CPython 3.8 Windows x86

pyrtls-0.1.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pyrtls-0.1.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (1.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pyrtls-0.1.2-cp37-none-win_amd64.whl (959.1 kB view details)

Uploaded CPython 3.7 Windows x86-64

pyrtls-0.1.2-cp37-none-win32.whl (698.9 kB view details)

Uploaded CPython 3.7 Windows x86

pyrtls-0.1.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

pyrtls-0.1.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl (1.1 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ i686

File details

Details for the file pyrtls-0.1.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3ea9797ace0d70c641bc625fb7157fd1cfef8d9cb05c29fc6f0d37aaa5345c40
MD5 33138c0010075afe9d4ee8fd6d21a0b5
BLAKE2b-256 a8a0981cc1a08c4504b6cf9743dd24db731ef39466045fead1890413d27eeebd

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 51cda45c59fcffa19131e1efc758037c904b71406d4d483b8fa26d9f5f181527
MD5 c8399985bcaafbfbef5bd3cce1844341
BLAKE2b-256 143997b5943375930377e2bccccf8a290848a5ef2d3639166280a12251f1b20a

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 301c0540ee738d0a5ec7d23d10e9e1c29142228fed5ac4e786c1a97570c20b47
MD5 d5573ed97d50616943e42bf808d92954
BLAKE2b-256 b49a1c48f8a96e83ea133b202e6ea7ab813ab5dde67f2c504fcc04dbaa5f9f09

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 45245cd529ae9ecc7ccede58e2df77ebf4cffaac4c43a9b4670a84ce8f720ff4
MD5 a6d1c3c4563745e8e58fa97ebe1d9ff6
BLAKE2b-256 6482a0d98ceebee3e937be0a39b5450e3ba8f37bc510ccd293f940dac72e0bfb

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp312-none-win_amd64.whl.

File metadata

  • Download URL: pyrtls-0.1.2-cp312-none-win_amd64.whl
  • Upload date:
  • Size: 958.6 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.7.1

File hashes

Hashes for pyrtls-0.1.2-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 0318a3d954aadbfdd01c0f74e8a0a6889c84fe7fe9f5a81003f501a2d93bfe12
MD5 4d5a820495ca9d54fb42202be4c26d1b
BLAKE2b-256 0dae4c401d5a3bda208deee8425c9874dc6eef91a8aaa04c57a70fc9ec656c87

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp312-none-win32.whl.

File metadata

  • Download URL: pyrtls-0.1.2-cp312-none-win32.whl
  • Upload date:
  • Size: 695.7 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.7.1

File hashes

Hashes for pyrtls-0.1.2-cp312-none-win32.whl
Algorithm Hash digest
SHA256 8a454699f12787060c94e6c9dc2bf5ea7cf0fa4c94cdfae353bfc264199b0c83
MD5 fe45f12d67330b821a83cfd7e38002ae
BLAKE2b-256 0e1e30ee52db34a7d381f5f6c7b5189dcd137a00944668b87d5b296d1a2aebcf

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4bd775788a7b6a4820801f6ed1c9b240ee6e20c5348b08564e9ae34a178b3f1b
MD5 18000bfd04e24bcfbba9a93d1e898dad
BLAKE2b-256 061a9b2374cdad476c1b7d93b4f8c38e63ed24d8759c50b1b985df2194d74438

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 38a1f7ccc60448f77df7708310d1f87b20b7fd4622f03e783cca9edbd1e3f01c
MD5 9dd17933332113b496add90b3a7fe1b4
BLAKE2b-256 c77c2d32a67e3b1fb06b0ba222715956d2470ddcf1f46298f191e17f40dddca7

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 acc56ce39f66a887327ad5546e344032b8fe6078270deba6a8e56a6d6bdcf498
MD5 99525b01e7bbd292dbce73f5bc0b78bb
BLAKE2b-256 c72a4fa365612e04cd2beea8e30e50a4a5e6c36406b67f23d6ec999f489fcc37

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 16f3530396688617283571f1c0c002f4712b1b91285287b8a09749441ff89b27
MD5 ccedcf9b1df641959830234ee7b19333
BLAKE2b-256 e977f7637dd2b2b038512be9b83c4da643aaa51bdfec00f40c8a29f8cf1397be

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp311-none-win_amd64.whl.

File metadata

  • Download URL: pyrtls-0.1.2-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 959.0 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.7.1

File hashes

Hashes for pyrtls-0.1.2-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 ef61825018ea3d85ebc4d7ade5b01e6baa4c84a8ca72ed2d40e6988f0371f2ce
MD5 2a175af47fb633d4a2a0e290cbf3fa66
BLAKE2b-256 331ee2199bbb5b9420268d670c15e12d317700cc6588c40aae00714a81062b25

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp311-none-win32.whl.

File metadata

  • Download URL: pyrtls-0.1.2-cp311-none-win32.whl
  • Upload date:
  • Size: 699.2 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.7.1

File hashes

Hashes for pyrtls-0.1.2-cp311-none-win32.whl
Algorithm Hash digest
SHA256 85afef4d7e4f4c9076e34be91c8723285a4fec320ef78d61326077db3dfde3b8
MD5 d0bccfa2355501ccc419f6aba4afce0f
BLAKE2b-256 5107c7ae5783299bedfc5ef493cce7f00137e8c1bfbf9a9c5402098cd14e04ab

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a114c088747d102034d424a691e0f410866e0dcb5c34631faaee0b41e381d521
MD5 46a6d32873ae80c4b2941706f318e1c6
BLAKE2b-256 d766149ff33135ed27f1c98fa06c476d282268c7d3da61b0a88a9226a84a00d8

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 f195eb545c7b6df2f059fb9ff793d36d1f8a6fb8e068674d807b33ae2c3c9261
MD5 40d4408053369cb062c3a70384a16131
BLAKE2b-256 e8f94d72f109a4fbdaaf00d0f99249c81c306aa431a5cfb8f2ed43c0e1e81570

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f57b4ecba43d06405111aa988ccbb32a4f19768a70e9194ce548eea6f10a9f86
MD5 d89e8edbdef9bf6e58e410b21428f1fe
BLAKE2b-256 d366fc97f907e010139c044d354a4f89fd269e2972e2fbb7ba7acf045421ad23

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 00078816f37ac8b368288ddb5fb3389b16bd43ded63a795a5a59961054097881
MD5 7d4933b5746e58d5dcb48dd304128e59
BLAKE2b-256 1e9591c84e2391cf6db925dc9fffc472f9810fb91093cf0d26d8440d3df4db3b

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp310-none-win_amd64.whl.

File metadata

  • Download URL: pyrtls-0.1.2-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 958.9 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.7.1

File hashes

Hashes for pyrtls-0.1.2-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 a3ec2e3f36d777862f474525c5f9f6c59904238acf73161aeb7eb88976d6a2cd
MD5 6895315c819736632b6d9190275138e8
BLAKE2b-256 c288fa35232dfc1b70c863cf6311bb8cb0558ca6f5a50b8cc963920591aa4d52

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp310-none-win32.whl.

File metadata

  • Download URL: pyrtls-0.1.2-cp310-none-win32.whl
  • Upload date:
  • Size: 699.4 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.7.1

File hashes

Hashes for pyrtls-0.1.2-cp310-none-win32.whl
Algorithm Hash digest
SHA256 5ef2950213a77ff332c1c39bd07ddbfd6623b2c995cfb41d1f14cef70e6b8e22
MD5 9f06a12953b3b5c2c5deca9ecf519712
BLAKE2b-256 e1e0477566a82555164abb005f92899b4f5659dd0e3bdc3e854f8ab8753836b2

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 265bbb6cc9777770bb7df3e60364ad4db8781181276251cf13c8994c09a31d44
MD5 fd1ced3460d8f1a83c87d2bf3f72e54b
BLAKE2b-256 5ff1fcce20d4c01c8cb5b175d0eef6c86222738bde31011e6750677b83b64f53

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 10071c8608a1aa1af996fbb3811f52373151ff0c56ea4ea7f1824f6e4145949f
MD5 353526be24b60cdd33b5514daadfa89f
BLAKE2b-256 e4fa371cafefc75ad82d5a8c72d7ec9cc6e0d1a660e91ab14ccb2bbaf710b691

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 35a2a8c1c05853dbc489a89dcb6383f3c76232c90039873da3e5262d837082a6
MD5 d64dc05a1cc642350d511500d4b827c4
BLAKE2b-256 40d51b1ea73d2f415bbe2fbc98d3f3a013a7ef63c70a537671b4e9793c852093

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 dff3e8dc2bb63fcffd570e4b1a8557911aa3507a5626dbedcefd9b601e07f34f
MD5 acfc01da7446aee162372be28ec90335
BLAKE2b-256 3a4c9e068d9af40a42df337e6b9673649100cd511040e6aba152928bcde29181

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp39-none-win_amd64.whl.

File metadata

  • Download URL: pyrtls-0.1.2-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 959.2 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.7.1

File hashes

Hashes for pyrtls-0.1.2-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 81f8407e89d68c0c0e325546e09996c05122d034946ccd0852c5a091f5ff61fe
MD5 15f74f03f8dddc212cb66e586eeb5a67
BLAKE2b-256 394793a9e01453cb6a6c0f82c0cb7f182d25454cb8d89a91d4e3346edfe0c2fc

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp39-none-win32.whl.

File metadata

  • Download URL: pyrtls-0.1.2-cp39-none-win32.whl
  • Upload date:
  • Size: 699.7 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.7.1

File hashes

Hashes for pyrtls-0.1.2-cp39-none-win32.whl
Algorithm Hash digest
SHA256 d9065039f92ee15aeb27e35a939a6fe3fab19fb82a4a680c23f004e12d44ae53
MD5 92425c562df18f4d8b1fec1a90d3dfc6
BLAKE2b-256 0176955adf2533dc77ba975656e151c58f65bbea962c6dc574ad6addc8a1d307

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8adaa937242e5b548ddae811326bc108880065f11cd8dec5503e1309d3541e47
MD5 4b245c87958dde8514baeaf221342c0a
BLAKE2b-256 35ecb4281c41340d84b1feae3272db7ece03a744929202b42290947599ba1152

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 295463dbca0f5b4f922ff52e339491a957250671b3f4aae32d33432115731c56
MD5 ac489986248cebe1428794dc2ddc299b
BLAKE2b-256 20fc47a4c7d9c39ec00e4084b9932208b263b03e55d14d2ea0f068c273b4222f

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 45bf1f092cc9b7cdcc8ce64e8ac6427e27db61cc7e93e6cbe2fbeae6b76a34b7
MD5 b8db3a0773592afab1f70c18ccc9c988
BLAKE2b-256 1c77485fc794312dc619b731295e68211d2043bc4d3b3cf90621fbd58510e43c

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 8635abe1534ecbcd331f0cb4cd7f09b2f2c285aea02e7ce0b26acfbc2813be34
MD5 eec786eec8b350b85a9545c7f0c1f9ad
BLAKE2b-256 86548bfc89c234db0777ec91461d4d576513a1ee3480aa497aa7c09d7c7da56e

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp38-none-win_amd64.whl.

File metadata

  • Download URL: pyrtls-0.1.2-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 958.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.7.1

File hashes

Hashes for pyrtls-0.1.2-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 6d413dc335f46e96ef89ac93650bb08171a9e2cb33d6bcc401b9fd71bbfb7d21
MD5 268aeeff8398dba5e0ba678f1c4ad4ed
BLAKE2b-256 a0070938fa1adab092845ce90c86627d68bccba6b87d0695110b5b54e4081643

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp38-none-win32.whl.

File metadata

  • Download URL: pyrtls-0.1.2-cp38-none-win32.whl
  • Upload date:
  • Size: 699.0 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.7.1

File hashes

Hashes for pyrtls-0.1.2-cp38-none-win32.whl
Algorithm Hash digest
SHA256 29aea8a65cbf43006fc25b813d8d414b85115d05c61585f67e287dfc907e1718
MD5 5055d010091187478bf3589cd53b3515
BLAKE2b-256 f9e05daa065cd39054fecef11e0ce331b4d1289891d320ec7ee372ad3d3c0d98

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c7347f88f7386a1ad29bab05edcf35a4a5ae4f437f4ea74a771d2336ce81a33e
MD5 b841c1ad5af559c4dac769346f083a76
BLAKE2b-256 54f9eaf9ea150460050f541204bafe80a7152d8dc315910dcaaa2871de8770a7

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 0a088d7ff70c2d4dd3c770bad92b192e670871e25e904cffd526dafba43dafa0
MD5 e6085467a95b9b8ef2fd9606b6417eb9
BLAKE2b-256 d3a3eafb2c7dea6fc4244df21426fab1517eb5fba59e2ef153f7c41d1738ea37

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp37-none-win_amd64.whl.

File metadata

  • Download URL: pyrtls-0.1.2-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 959.1 kB
  • Tags: CPython 3.7, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.7.1

File hashes

Hashes for pyrtls-0.1.2-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 e34947b2a86b65b93db615def1f9360dd266cbdbf7eaa2b39f0b50110487d788
MD5 817dc4ef83d5798db7a257d0a4da4093
BLAKE2b-256 0672f649b8049c116a6517caf367f994199af5d17ce59a6da1344abca1ff8948

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp37-none-win32.whl.

File metadata

  • Download URL: pyrtls-0.1.2-cp37-none-win32.whl
  • Upload date:
  • Size: 698.9 kB
  • Tags: CPython 3.7, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.7.1

File hashes

Hashes for pyrtls-0.1.2-cp37-none-win32.whl
Algorithm Hash digest
SHA256 fdf27eaf2a3943338141bef26f04be9ec6fd895ab431a7fd190944f9a9790750
MD5 1f078b1d2c87cbd72cb8b6ecc140a26b
BLAKE2b-256 97025452c1c9998ae7e5accd07149680dacc46074f074719f039901865429416

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d6f0d5b7776fb5f8739a7a02470afd52c9e5b2bbe5314baf65d4638487a296d6
MD5 e4e0823b547095fb41db0a54fa6fab06
BLAKE2b-256 324c693e3c59a07fb81bd0adcc6a73481fcc9023ba19408afe5105fea4bf58ba

See more details on using hashes here.

File details

Details for the file pyrtls-0.1.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pyrtls-0.1.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 9e934f93fdca1a0afa888861073e945d091101318b76f4d9c5c30b2bd0e93334
MD5 747786c57f7e692e40d8f65ed3505c3d
BLAKE2b-256 eb14e01e9402bf276f757baae0777b7d21c625d1064f870dd5c233ee8ab942f7

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