Ultra-fast websocket client and server for asyncio
Project description
Introduction
picows is a high-performance python library designed for building asyncio WebSocket clients and servers. Implemented in Cython, it offers exceptional speed and efficiency, surpassing other popular WebSocket python libraries.
The above chart shows the performance of echo clients communicating with a server through a loopback interface using popular Python libraries. boost.beast client is also included for reference. Typically, picows is ~1.5-2 times faster than aiohttp. All Python clients use uvloop. Please find the benchmark sources here.
Installation
picows requires Python 3.8 or greater and is available on PyPI. Use pip to install it:
$ pip install picows
Documentation
Motivation
Popular WebSocket libraries provide high-level interfaces that handle timeouts, flow control, optional compression/decompression, and reassembly of WebSocket messages from frames, while also implementing async iteration interfaces. However, these features are typically implemented in pure Python, resulting in significant overhead even when messages are small, un-fragmented (with every WebSocket frame marked as final), and uncompressed.
The async iteration interface relies on asyncio.Futures, which adds additional work for the event loop and can introduce delays. Moreover, it’s not always necessary to process every message. In some use cases, only the latest message matters, and previous ones can be discarded without even parsing their content.
API Design
The library achieves superior performance by offering an efficient, non-async data path, similar to the transport/protocol design from asyncio. The user handler receives WebSocket frame objects instead of complete messages. Since a message can span multiple frames, it is up to the user to decide the most effective strategy for concatenating them. Each frame object includes additional details about the current parser state, which may help optimize the behavior of the user’s application.
Getting started
Echo client
Connects to an echo server, sends a message and disconnect upon reply.
import asyncio
import uvloop
from picows import ws_connect, WSFrame, WSTransport, WSListener, WSMsgType, WSCloseCode
class ClientListener(WSListener):
def on_ws_connected(self, transport: WSTransport):
self.transport = transport
transport.send(WSMsgType.TEXT, b"Hello world")
def on_ws_frame(self, transport: WSTransport, frame: WSFrame):
print(f"Echo reply: {frame.get_payload_as_ascii_text()}")
transport.send_close(WSCloseCode.OK)
transport.disconnect()
async def main(url):
(_, client) = await ws_connect(ClientListener, url)
await client.transport.wait_disconnected()
if __name__ == '__main__':
asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
asyncio.run(main("ws://127.0.0.1:9001"))
This prints:
Echo reply: Hello world
Echo server
import asyncio
import uvloop
from picows import ws_create_server, WSFrame, WSTransport, WSListener, WSMsgType, WSUpgradeRequest
class ServerClientListener(WSListener):
def on_ws_connected(self, transport: WSTransport):
print("New client connected")
def on_ws_frame(self, transport: WSTransport, frame: WSFrame):
if frame.msg_type == WSMsgType.PING:
transport.send_pong(frame.get_payload_as_bytes())
elif frame.msg_type == WSMsgType.CLOSE:
transport.send_close(frame.get_close_code(), frame.get_close_message())
transport.disconnect()
else:
transport.send(frame.msg_type, frame.get_payload_as_bytes())
async def main():
def listener_factory(r: WSUpgradeRequest):
# Routing can be implemented here by analyzing request content
return ServerClientListener()
server: asyncio.Server = await ws_create_server(listener_factory, "127.0.0.1", 9001)
for s in server.sockets:
print(f"Server started on {s.getsockname()}")
await server.serve_forever()
if __name__ == '__main__':
asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
asyncio.run(main())
Features
Maximally efficient WebSocket frame parser and builder implemented in Cython
Re-use memory as much as possible, avoid reallocations, and avoid unnecessary Python object creations
Provide Cython .pxd for efficient integration of user Cythonized code with picows
Ability to check if a frame is the last one in the receiving buffer
Auto ping-pong with an option to customize ping/pong messages.
Convenient method to measure websocket roundtrip time using ping/pong messages.
Contributing / Building From Source
Fork and clone the repository:
$ git clone git@github.com:tarasko/picows.git $ cd picows
Create a virtual environment and activate it:
$ python3 -m venv picows-dev $ source picows-dev/bin/activate
Install development dependencies:
# To run tests $ pip install -r requirements-test.txt # To run benchmark $ pip install -r requirements-benchmark.txt # To build docs $ pip install -r docs/requirements.txt
Build inplace and run tests:
$ export PICOWS_BUILD_EXAMPLES=1 $ python setup.py build_ext --inplace $ pytest -s -v # Run specific test with picows debug logs enabled $ pytest -s -v -k test_client_handshake_timeout[uvloop-plain] --log-cli-level 9
Run benchmark:
$ python -m examples.echo_server $ python -m examples.echo_client_benchmark
Build docs:
$ make -C docs clean html
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
File details
Details for the file picows-1.6.0.tar.gz
.
File metadata
- Download URL: picows-1.6.0.tar.gz
- Upload date:
- Size: 29.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ca8973f34269b9d8e2be02e6afb093d8c3bbd3a6800d75afc0958765cabc9c9e |
|
MD5 | 3a608ea984ed3381e9b15d4604751320 |
|
BLAKE2b-256 | c9bfe1cac4406369f6bc902eb11fc0068c4aa3d4de31d6397e420260e08698f1 |
File details
Details for the file picows-1.6.0-cp313-cp313-win_amd64.whl
.
File metadata
- Download URL: picows-1.6.0-cp313-cp313-win_amd64.whl
- Upload date:
- Size: 473.8 kB
- Tags: CPython 3.13, Windows x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 65b2c4ef5e20efac9eaefb8f6b3d4320fbcd39aee9a5f7dece9aa51246d02ffa |
|
MD5 | d311ed9ffed85274a828172e0346cbe6 |
|
BLAKE2b-256 | aa593f60b4b011043d8a4bb981c278541fd4874e275181f3c95abc6046c17727 |
File details
Details for the file picows-1.6.0-cp313-cp313-win32.whl
.
File metadata
- Download URL: picows-1.6.0-cp313-cp313-win32.whl
- Upload date:
- Size: 452.2 kB
- Tags: CPython 3.13, Windows x86
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 92af88d57d253914d454512dc887ed1852c15b2b32ee5830088fd6654c9f3023 |
|
MD5 | 744bd1880e2ac2ec8174ef6770b319ec |
|
BLAKE2b-256 | e4b5307ef6757dbe1058861bf624e84829c8c21f1eb80ae21ad8d8864b873757 |
File details
Details for the file picows-1.6.0-cp313-cp313-musllinux_1_2_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp313-cp313-musllinux_1_2_x86_64.whl
- Upload date:
- Size: 1.4 MB
- Tags: CPython 3.13, musllinux: musl 1.2+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 35d678c10a8a936048895979371ad54ad539209f91f1673c9a9a4b99e5fe2379 |
|
MD5 | d7575149a65d5aa6a2ca5e7e659ca34a |
|
BLAKE2b-256 | d2b6e538d803c8b32f696ea70cab7c1ec9cbdb37f8996653e2320e7f41a642b5 |
File details
Details for the file picows-1.6.0-cp313-cp313-musllinux_1_2_aarch64.whl
.
File metadata
- Download URL: picows-1.6.0-cp313-cp313-musllinux_1_2_aarch64.whl
- Upload date:
- Size: 1.3 MB
- Tags: CPython 3.13, musllinux: musl 1.2+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c85a09a13988396ef0de4568be86165de893b06ef55c9a73024c96862732e1ad |
|
MD5 | 3a77f84db5e486603e716b8e840d8dd2 |
|
BLAKE2b-256 | 816966c3e97e53ef65b77cf6ad9d0053993b6cd7b0af3aafe33e55745f432f4d |
File details
Details for the file picows-1.6.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 1.3 MB
- Tags: CPython 3.13, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 50bd9e23a4860b147a7352d2c08a129704bb261a7b72dfc567b881c7a1983c54 |
|
MD5 | d0047fa8060131af00760ff49ac456fb |
|
BLAKE2b-256 | 6f287b29633f7aaad441f1acf40e3725f60a503ac2f69baac762ed78ac6f83b4 |
File details
Details for the file picows-1.6.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: picows-1.6.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 1.3 MB
- Tags: CPython 3.13, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ad2e98d82513093116cd9dacb2a7a098eca712353f1470021c7172ff76a3a7e2 |
|
MD5 | a7ca28c46807c817d547a8ca88d0af37 |
|
BLAKE2b-256 | 73d4e414e6f978af9223552ceed94974a360c37a925b065c5a0517f77286c045 |
File details
Details for the file picows-1.6.0-cp313-cp313-macosx_11_0_arm64.whl
.
File metadata
- Download URL: picows-1.6.0-cp313-cp313-macosx_11_0_arm64.whl
- Upload date:
- Size: 210.5 kB
- Tags: CPython 3.13, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bb806275d072493de35dee893498e1967fcbfc9406839fa1429dd1c9f55797fe |
|
MD5 | 1fb2c3b14c72459c39cd92f26c8ad779 |
|
BLAKE2b-256 | 6beac86eb3e83b865b2c94ff282626f28ae180f4a6e97cc96a8f8aeccae68347 |
File details
Details for the file picows-1.6.0-cp313-cp313-macosx_10_13_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp313-cp313-macosx_10_13_x86_64.whl
- Upload date:
- Size: 225.9 kB
- Tags: CPython 3.13, macOS 10.13+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b8e57948b1a6bac5d32832edf3ca2a8ec1987be3cbc7b7ee6c6e82f9474bc073 |
|
MD5 | 0aaf95e4c5ea515d778dcc5ab5044526 |
|
BLAKE2b-256 | 6fbedebd5b88310fdb8ad3a4c6ccc9b9832767fe6baea7f64a5751e47521a5b9 |
File details
Details for the file picows-1.6.0-cp312-cp312-win_amd64.whl
.
File metadata
- Download URL: picows-1.6.0-cp312-cp312-win_amd64.whl
- Upload date:
- Size: 473.9 kB
- Tags: CPython 3.12, Windows x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 97b68c47a8d1b875c3d704942a9399b05adb9c714ebe61684bdb5b4fecbcee0a |
|
MD5 | a51e3c42f899d259126beade3e2434af |
|
BLAKE2b-256 | 90b4bb6d999c795a0cbf06b0d82cfa17f89e8af63eed483a112380fd7c6feb89 |
File details
Details for the file picows-1.6.0-cp312-cp312-win32.whl
.
File metadata
- Download URL: picows-1.6.0-cp312-cp312-win32.whl
- Upload date:
- Size: 452.4 kB
- Tags: CPython 3.12, Windows x86
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6e65d5c624a6d8c852f0131b7403ec1cfd0168e8f9c750debb1eeb6396459edb |
|
MD5 | 11362966245196340cfe42ceb4efb419 |
|
BLAKE2b-256 | 9004c972964b57670c829969a8fee43c67de8dbb15c0ae16bfcaa449d4849fdb |
File details
Details for the file picows-1.6.0-cp312-cp312-musllinux_1_2_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp312-cp312-musllinux_1_2_x86_64.whl
- Upload date:
- Size: 1.4 MB
- Tags: CPython 3.12, musllinux: musl 1.2+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 97600bb019ed24b35b5645397e7793fe28d03963945a167e932bed756e3a386a |
|
MD5 | b2ab2263514d163ffab78f2b5f028072 |
|
BLAKE2b-256 | 8af8a3dc08ab4f9cb82f16f0b4518bd0a00689ba56ebeeea948cc99ba196f57f |
File details
Details for the file picows-1.6.0-cp312-cp312-musllinux_1_2_aarch64.whl
.
File metadata
- Download URL: picows-1.6.0-cp312-cp312-musllinux_1_2_aarch64.whl
- Upload date:
- Size: 1.3 MB
- Tags: CPython 3.12, musllinux: musl 1.2+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 85de074cf92f8d864f0a91ac8a2fa283c727f7e986b639bd820edc73e6c55cf8 |
|
MD5 | 241f8ffe75fb048172631edd82da491e |
|
BLAKE2b-256 | ec887774c339196b7217114175d71cc369ddc9e938cad4fc010f863ec3ebb687 |
File details
Details for the file picows-1.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 1.3 MB
- Tags: CPython 3.12, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 97e04d25e01ba6bfad6ecb2945cd25c632fbf125b35cd4c6c7a707105172e314 |
|
MD5 | d16c5bcc4d9150d12d654ef20085fe82 |
|
BLAKE2b-256 | e4a210cfaac838d34ea652d335c4ddc67cef732a079a57bd14fc2c9ee61ff783 |
File details
Details for the file picows-1.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: picows-1.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 1.3 MB
- Tags: CPython 3.12, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b6bfafe77001acebaa8e12bc8c4189bc5d5b47dd497890b399dd8b4f707f2929 |
|
MD5 | 793312e8dc767cb626861e3d97bbbdbd |
|
BLAKE2b-256 | 8f9caab7072762431182ddb7c23ef030f6b5e796abafc23a644c6d3160251d94 |
File details
Details for the file picows-1.6.0-cp312-cp312-macosx_11_0_arm64.whl
.
File metadata
- Download URL: picows-1.6.0-cp312-cp312-macosx_11_0_arm64.whl
- Upload date:
- Size: 212.6 kB
- Tags: CPython 3.12, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 90512c641ff3a0ce981fe06f31b6a50c7eb9260e2691bb24e94638f2c13624c1 |
|
MD5 | 9f1f1badc938883abb303d781a059ba7 |
|
BLAKE2b-256 | 8cb55ea5689d11d9d1760699298e49f38c9e46ec0a933f80bdcdba40ea716c7b |
File details
Details for the file picows-1.6.0-cp312-cp312-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp312-cp312-macosx_10_9_x86_64.whl
- Upload date:
- Size: 228.5 kB
- Tags: CPython 3.12, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e0db9d311b18425e60a180086905eff37895186eb7cf1fec14d19c5e40206d5d |
|
MD5 | b9e295c7193764673607186f196cda7d |
|
BLAKE2b-256 | 4ebe7f6b4b0a4f458b3046a5e7ff860e7aa6379b3514e4b881dca5fe67ec43cb |
File details
Details for the file picows-1.6.0-cp311-cp311-win_amd64.whl
.
File metadata
- Download URL: picows-1.6.0-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 480.2 kB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9a8734db80f011e5b4a90247dc8cfb8906257ce824316b1c3a64476ee85fe2cd |
|
MD5 | e4922af89be5da0730b2d5df40d07cb2 |
|
BLAKE2b-256 | ef91cc51d94b52f6206efef43a5fe0c839066395e63ba516a353e6ec1fbbc997 |
File details
Details for the file picows-1.6.0-cp311-cp311-win32.whl
.
File metadata
- Download URL: picows-1.6.0-cp311-cp311-win32.whl
- Upload date:
- Size: 459.1 kB
- Tags: CPython 3.11, Windows x86
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 43f6f96f847264b387d67296e487abf351cf4e32de8baf4cc432ec304513a2a8 |
|
MD5 | a9006592bcadd6cb54a0ca9c8847ab56 |
|
BLAKE2b-256 | 01dd6e61c62ea6340d5c32ffc5cafc0a7ec5705ae30b9fd25c4362c75f0eef7d |
File details
Details for the file picows-1.6.0-cp311-cp311-musllinux_1_2_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp311-cp311-musllinux_1_2_x86_64.whl
- Upload date:
- Size: 1.3 MB
- Tags: CPython 3.11, musllinux: musl 1.2+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2cc3e9187d60d634f8b4b5448da92d774555ff623fd1592a10e1dbe7b72f5d7d |
|
MD5 | 8f08ffd11ca5cfb1a48eb22706541a8c |
|
BLAKE2b-256 | 998d0ae61da721d5ab9951d65464a46f921dc18ff1ca4f3c7ef2585df3adb0d7 |
File details
Details for the file picows-1.6.0-cp311-cp311-musllinux_1_2_aarch64.whl
.
File metadata
- Download URL: picows-1.6.0-cp311-cp311-musllinux_1_2_aarch64.whl
- Upload date:
- Size: 1.3 MB
- Tags: CPython 3.11, musllinux: musl 1.2+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f3f0226305971a1d790b6841256aeaf05990810c096861b2d94a53daad0da8ab |
|
MD5 | d06f197d0ee31f18c4ceb132059c21cb |
|
BLAKE2b-256 | 1cc8e7a124a36e20735fe40ca876391c80ad525551ea3e5ba764b2000cc1112e |
File details
Details for the file picows-1.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 1.4 MB
- Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6affdaa721cd02a4c130cc4b198781a768034389b3d667f7183439eedb12c457 |
|
MD5 | f40f8139b3bf77212bb7948f678298ab |
|
BLAKE2b-256 | a0d38af84ff37a318ea90266a23919484c355d1094fa804eaaacf0aa72bfc10e |
File details
Details for the file picows-1.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: picows-1.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 1.3 MB
- Tags: CPython 3.11, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 724b639057ffa9e98065e081d3ede7d4ceb92752dafc026746314e812b9a21db |
|
MD5 | 40a20434c8f6e54f07291f2af0270e9e |
|
BLAKE2b-256 | 1bc51a918e3959ad87655c52fc7e407d5afa0e41cbb6f9621f5c83aae62e5dad |
File details
Details for the file picows-1.6.0-cp311-cp311-macosx_11_0_arm64.whl
.
File metadata
- Download URL: picows-1.6.0-cp311-cp311-macosx_11_0_arm64.whl
- Upload date:
- Size: 210.9 kB
- Tags: CPython 3.11, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 77fd728dbbb08a4a7f943bc657a2f3ff9a64d34f1dfd2a8e4b456d961e21472d |
|
MD5 | d13a0e961082a08e731daf45facab2dd |
|
BLAKE2b-256 | 3c5cf65266e927359d3d743755bf9e61f3c6f5495050b56515c025c278a65b27 |
File details
Details for the file picows-1.6.0-cp311-cp311-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp311-cp311-macosx_10_9_x86_64.whl
- Upload date:
- Size: 231.4 kB
- Tags: CPython 3.11, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | da063cad496aa873fdec2af4e724d46167af381ae3b4ed7ee2d72d6c7dea7879 |
|
MD5 | cbeba2a7a5679d943ed88af6da8ca527 |
|
BLAKE2b-256 | 27872b2998e126a2cbbdcb776a313d10b71ab1d4e71f92c49fc2d5d8319a96bf |
File details
Details for the file picows-1.6.0-cp310-cp310-win_amd64.whl
.
File metadata
- Download URL: picows-1.6.0-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 478.2 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3e4f2b92a2213d4a87c6daaf47065dc368392cfb285f759a474dc8b224f5d052 |
|
MD5 | ab1080e742a70fa5cd0998c16fe0763f |
|
BLAKE2b-256 | 58b5f384b538ebc7b91c254dd4e860a5e6a2dde8ab7201baeb1c0faf42a29a85 |
File details
Details for the file picows-1.6.0-cp310-cp310-win32.whl
.
File metadata
- Download URL: picows-1.6.0-cp310-cp310-win32.whl
- Upload date:
- Size: 458.6 kB
- Tags: CPython 3.10, Windows x86
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 39efb9e982120bf68cc4119c3e0dab3e4a664aad265b4990bb8e1f27a85768f8 |
|
MD5 | eb1c866e6265bd4775a4368fa81b11d9 |
|
BLAKE2b-256 | b4bc7edceb32ed664b791ef8e33e1b2e52f8c128c90f584137fbe07e5f46f8b0 |
File details
Details for the file picows-1.6.0-cp310-cp310-musllinux_1_2_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp310-cp310-musllinux_1_2_x86_64.whl
- Upload date:
- Size: 1.2 MB
- Tags: CPython 3.10, musllinux: musl 1.2+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8b4b5247479035672e4a42a691dde041e9245fe65e3a74511fbead1857713f19 |
|
MD5 | c4fd4c4cc5b442b0217a740bcb974feb |
|
BLAKE2b-256 | 412504dd69e315d5d9b879429eded589999673f4ae6c3cdd4c03a79d70472ccf |
File details
Details for the file picows-1.6.0-cp310-cp310-musllinux_1_2_aarch64.whl
.
File metadata
- Download URL: picows-1.6.0-cp310-cp310-musllinux_1_2_aarch64.whl
- Upload date:
- Size: 1.2 MB
- Tags: CPython 3.10, musllinux: musl 1.2+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9080dcfff06e4d8bd20351b8eef56317003e1b8be8ca9596bb79ef645d9dface |
|
MD5 | a381ca443f2d28db36c73da47a8bb225 |
|
BLAKE2b-256 | 31b16684eb7f4a8ea125f5e6b775f24b6ca822c462b7fe7c3079899490c4f253 |
File details
Details for the file picows-1.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 1.2 MB
- Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | efb39218b4c053a523cb1ca0b7faa7d36eb44d2195e8f1c4b131d7e444b7031f |
|
MD5 | 1a58cb3086ea88c76f691082e8599c75 |
|
BLAKE2b-256 | be6a80c48e62940cf0d782fcd44e6c8ac4d7c35a1acde12471598f198810a10e |
File details
Details for the file picows-1.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: picows-1.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 1.2 MB
- Tags: CPython 3.10, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 14ebd76c3055ee7f303e743eebfa4215c187c4c092a4a5d44ecfbb93b24afe04 |
|
MD5 | 6b5aeb39971ad9fc7b40c1749cfdbbef |
|
BLAKE2b-256 | ec5d4f4503003fd42dcf81c749aa692706f3924da71b32a477c676081b270563 |
File details
Details for the file picows-1.6.0-cp310-cp310-macosx_11_0_arm64.whl
.
File metadata
- Download URL: picows-1.6.0-cp310-cp310-macosx_11_0_arm64.whl
- Upload date:
- Size: 209.0 kB
- Tags: CPython 3.10, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e69339bc6fb357b597ef0cebd4fe5fe604b440f6b99a90d24e7e2ca4cd8eb549 |
|
MD5 | d84df62e78c0436bf8bcc043b0619b7e |
|
BLAKE2b-256 | 0fc41bf3917e6fd8a6eae042395e6d424b3a84529e389c74c498183a053ea0b1 |
File details
Details for the file picows-1.6.0-cp310-cp310-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp310-cp310-macosx_10_9_x86_64.whl
- Upload date:
- Size: 228.0 kB
- Tags: CPython 3.10, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cb756cbdb0b9f561ac652d783cdcf16895ef18546de599a4af24c898d4c07a9f |
|
MD5 | 88b3b1a63d3a3f65e6d70ffe3ee2f08b |
|
BLAKE2b-256 | 8b17ef361205496d584bfca3d12d0b6020d1d434a7939519d4cadb404a647a76 |
File details
Details for the file picows-1.6.0-cp39-cp39-win_amd64.whl
.
File metadata
- Download URL: picows-1.6.0-cp39-cp39-win_amd64.whl
- Upload date:
- Size: 478.3 kB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d7c22805fbdfe687a5deb74395a1f4b9cfc0b532375602e26ac5de387b67abec |
|
MD5 | d2997360f7e15c44d4a45b9406b16691 |
|
BLAKE2b-256 | fda433161669b7296ccdafaa5401e26e8d9c47fa2f08f2c92ce907bcaff2c6af |
File details
Details for the file picows-1.6.0-cp39-cp39-win32.whl
.
File metadata
- Download URL: picows-1.6.0-cp39-cp39-win32.whl
- Upload date:
- Size: 458.7 kB
- Tags: CPython 3.9, Windows x86
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e98753e4058dd65f0d22b6cfadbd169f83adeaa9dd045b1b16fd071f4ab0907d |
|
MD5 | 716ebc7758866cb1374dd53ed542a51c |
|
BLAKE2b-256 | c47d8596d70609c7dcc3ce94c2babe24394eac1ec7b7d78419517729aabc1b76 |
File details
Details for the file picows-1.6.0-cp39-cp39-musllinux_1_2_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp39-cp39-musllinux_1_2_x86_64.whl
- Upload date:
- Size: 1.2 MB
- Tags: CPython 3.9, musllinux: musl 1.2+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 351c0f50f8495a1cc25ce30fe31ebb658f1a9aa7e24e9e57bc611dcdd41803c4 |
|
MD5 | 211e48793f0205b4c1d2214518a20a0f |
|
BLAKE2b-256 | 4113d511f72780ee6b6be3b84a048d7a1dc97887bf48a62cb786e3549bdbe7e9 |
File details
Details for the file picows-1.6.0-cp39-cp39-musllinux_1_2_aarch64.whl
.
File metadata
- Download URL: picows-1.6.0-cp39-cp39-musllinux_1_2_aarch64.whl
- Upload date:
- Size: 1.2 MB
- Tags: CPython 3.9, musllinux: musl 1.2+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 094d5688e64fcda352fee742d8780e833de03d8b709e54ec3fef9ffbfeb731e5 |
|
MD5 | ea88cb738e1754bd4c8ad5afec5c8e84 |
|
BLAKE2b-256 | b6139b3f9740630934c36333f3e87b23fc7808995d99e713af8958692e61f869 |
File details
Details for the file picows-1.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 1.2 MB
- Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a8314ad4477c507019ade9061b0e48c57651eb2ec42af7a6f6a77428c02c388d |
|
MD5 | f5316abb656f67989d79eb57ceb976be |
|
BLAKE2b-256 | ae5644d60d69ac736f23bdaeb58769d60d79732080e7814c129c04634bd9811d |
File details
Details for the file picows-1.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: picows-1.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 1.2 MB
- Tags: CPython 3.9, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 43f4f84aaec7e42401ba98b36e5e1d00030e1b59590d5a99404d8a481fc63ebf |
|
MD5 | 47ca38c21672a27a81b4660fd0b4bdb2 |
|
BLAKE2b-256 | 95d9dbecb3fafeb96aed6565ec5d3332b0be6477ba1c9b65c8ccba4d8510aef9 |
File details
Details for the file picows-1.6.0-cp39-cp39-macosx_11_0_arm64.whl
.
File metadata
- Download URL: picows-1.6.0-cp39-cp39-macosx_11_0_arm64.whl
- Upload date:
- Size: 209.0 kB
- Tags: CPython 3.9, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | be2eac1793357c31c1ce9e068b367d300f51f997e7042147c26ba7576574b1fb |
|
MD5 | 6750f75c53f6eaea1561c0b169870418 |
|
BLAKE2b-256 | 5d4068be002259d37c00e730ae82749b239d0a2eb92021201924cb226d76684e |
File details
Details for the file picows-1.6.0-cp39-cp39-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp39-cp39-macosx_10_9_x86_64.whl
- Upload date:
- Size: 227.8 kB
- Tags: CPython 3.9, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 06e20fb0ea0817a128868d2d595c70a6ef24f2badf374096fbad9639f4df44f7 |
|
MD5 | 2994d7d7e401151a04f3bdd1067dc3d9 |
|
BLAKE2b-256 | 2ac5b06ded2fccc468bd00b0292350abc5d74384913a6f7a5896bb3eb22191b2 |
File details
Details for the file picows-1.6.0-cp38-cp38-win_amd64.whl
.
File metadata
- Download URL: picows-1.6.0-cp38-cp38-win_amd64.whl
- Upload date:
- Size: 479.7 kB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9514310851d4645af2c8fc7ca75bbfe9c196852c96905ad5c9fbd007dfc2886e |
|
MD5 | e0417000bc66afb551ba497d03e9a7e3 |
|
BLAKE2b-256 | 2be5386b6cf8ef04e03dbf299e32447d677ee6340e168a28f22db3b1c0db54ab |
File details
Details for the file picows-1.6.0-cp38-cp38-win32.whl
.
File metadata
- Download URL: picows-1.6.0-cp38-cp38-win32.whl
- Upload date:
- Size: 460.0 kB
- Tags: CPython 3.8, Windows x86
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e64d71764ecb7c9fdbf5c25590e507750ac230e3d66996bb77cc17d4a1920494 |
|
MD5 | fd1b976923b410cc8fe436cff345cae5 |
|
BLAKE2b-256 | d14c6b258dbc852a973aee42734bad3f36ea0e054398374507b14942996043c3 |
File details
Details for the file picows-1.6.0-cp38-cp38-musllinux_1_2_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp38-cp38-musllinux_1_2_x86_64.whl
- Upload date:
- Size: 1.3 MB
- Tags: CPython 3.8, musllinux: musl 1.2+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 577de62955c4a552837f5723d9221969bfd9b4a4a4c7f0d27e075c6c683d7d14 |
|
MD5 | 4d45c241bc293037281b236441468d5d |
|
BLAKE2b-256 | d69ca6f2f61dfc3dc22dad08c814f729b9889bfbb9d0c05716d911726e9a1d17 |
File details
Details for the file picows-1.6.0-cp38-cp38-musllinux_1_2_aarch64.whl
.
File metadata
- Download URL: picows-1.6.0-cp38-cp38-musllinux_1_2_aarch64.whl
- Upload date:
- Size: 1.2 MB
- Tags: CPython 3.8, musllinux: musl 1.2+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f4e0d2620c2a877dc7c3d64ed0e08e0cb85e9a5c7bb9b27c7c8e929a9ffb4a9a |
|
MD5 | ca7a624bd04897773be739e74b20ebb8 |
|
BLAKE2b-256 | e98205393961368a2ff38eede0fa89db43c52d17b44f354057eb1899bd4bf3be |
File details
Details for the file picows-1.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 1.3 MB
- Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9d6a57afff53e9b318f32cce3d83305fb8e3a036e00494a5c1f1ede769d3bace |
|
MD5 | 4cddd4d7025d80597f477caee0e6423a |
|
BLAKE2b-256 | 3e543262421e4e2b481730713fd3ea2c79be1691f76e2ff0fd79e0f374df9d0f |
File details
Details for the file picows-1.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: picows-1.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 1.3 MB
- Tags: CPython 3.8, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | faafbfd3d4bdabcf3bdffd8a234f7791dedd7afc8a323b3822fe8deee2d6dce2 |
|
MD5 | a7d5d3d47d31b2ec843b5c36b92f5c0d |
|
BLAKE2b-256 | ab708ccf935eea089b7cc163c0a561d6ae79c7b335c1a201fe7b7c75a7c3965a |
File details
Details for the file picows-1.6.0-cp38-cp38-macosx_11_0_arm64.whl
.
File metadata
- Download URL: picows-1.6.0-cp38-cp38-macosx_11_0_arm64.whl
- Upload date:
- Size: 209.6 kB
- Tags: CPython 3.8, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fd7c58c4e093ea629a6dab192d0a938d92a5dd3b6f4b60b2ebf0a16f9c2b9218 |
|
MD5 | dc780c7e5bbaa6929bb578422cbdf97c |
|
BLAKE2b-256 | 640fcbff2d800699d35f2ae5fe3ca71f0c30ee8990826446460ea6953a0f92fd |
File details
Details for the file picows-1.6.0-cp38-cp38-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: picows-1.6.0-cp38-cp38-macosx_10_9_x86_64.whl
- Upload date:
- Size: 228.4 kB
- Tags: CPython 3.8, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a47a20b1407948336f3b35cef9b102cdd811972c4cb435058e1a5bc2a5117170 |
|
MD5 | 221eca95181abf046bca96cde0b99b53 |
|
BLAKE2b-256 | 29afcb42807389b4e174432f449695079e7e384fa895003390f9c542beacbf83 |