picows

picows banner

Documentation • Issues • Discussions • Examples

:zap: Introduction

picows is an ultra-fast, lightweight Python WebSockets client and server library for asyncio. Originally developed as part of an algorithmic trading project, it features a very efficient C implementation, a zero-copy interface and all possible speedups for the common modern CPU architectures.

With picows, you get unmatched, best-in-class latency and throughput!

The above chart shows the performance of various echo clients communicating with the same high-performance C++ server through a loopback interface. boost.beast client is also included for reference. You can find benchmark sources and more results here.

💡 Key Features

Faster (up to 2x) drop-in replacement for the popular websockets library.
Maximally efficient WebSocket frame parser and builder implemented in C/Cython
Reuse memory as much as possible, avoid reallocations, and avoid unnecessary Python object creation
Use aiofastnet to achieve excellent TCP/TLS performance regardless of the event loop used
Lower-level core API with non-async data path, to reduce latency and achieve maximum performance
Provide a 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

📦 Installation

picows requires Python 3.9 or greater and is available on PyPI:

pip install picows

🤔 Getting started

picows provides two APIs:

A reimplementation of the popular websockets library's asyncio interface.
A low-level and significantly more efficient (lower latency, better throughput, zero copy) core API.

websockets API

This is a drop-in replacement; you only need to change imports to transition from websockets to picows.

Certain features from websockets library are not supported yet. Check out documentation for the full list.

Client

# Import picows.websockets instead of websockets
from picows.websockets.asyncio.client import connect
import asyncio


async def hello():
    async with connect("ws://localhost:8765") as websocket:
        await websocket.send("Hello world!")
        message = await websocket.recv()
        print(message)


if __name__ == "__main__":
    asyncio.run(hello())

Server

# Import picows.websockets instead of websockets
from picows.websockets.asyncio.server import serve
import asyncio


async def echo(websocket):
    async for message in websocket:
        await websocket.send(message)


async def main():
    async with serve(echo, "localhost", 8765) as server:
        await server.serve_forever()


if __name__ == "__main__":
    asyncio.run(main())

Core API

The Core API 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 low-level details about the current parser state, which may help to further optimize the behavior of the user's application.

The Core API doesn't offer high-level features like permessage-deflate extension support or an async iterator interface for reading. These features are often not required in real-world applications, significantly slow down the data path, and make a true zero-copy interface impossible.

Client

import asyncio
from picows import ws_connect, WSFrame, WSTransport, WSListener, WSMsgType, WSCloseCode


class ClientListener(WSListener):
    def on_ws_connected(self, transport: WSTransport):
        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():
    transport, client = await ws_connect(ClientListener, "ws://127.0.0.1:9001")
    await transport.wait_disconnected()


if __name__ == "__main__":
    asyncio.run(main())

Server

import asyncio
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.CLOSE:
            transport.send_close(frame.get_close_code(), frame.get_close_message())
            transport.disconnect()
        else:
            transport.send(frame.msg_type, frame.get_payload_as_memoryview())


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.run(main())

:hammer: Contributing / Building From Source

Contributions are welcome!

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

Build in place and run tests:

python setup.py build_ext --inplace --dev
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 perf, see call graph

For Intel:

$ perf record -F 999 -g --call-graph lbr --user-callchains -- python -m examples.perf_test --msg-size 8192 --ssl
$ DEBUGINFOD_URLS= perf report -G -n --stdio

For AMD:

$ perf record -F 999 -g --call-graph dwarf --user-callchains -- python -m examples.perf_test --msg-size 8192 --ssl
$ DEBUGINFOD_URLS= perf report -G -n --stdio

Build coverage report:

Building for coverage testing requires enabling line tracing in cython, which significantly slows down extension modules. It is disabled by default. You would need to rebuild specifically with coverage support.

python setup.py build_ext --inplace --dev --with-coverage
pytest -s -v --cov=picows --cov-report=html

Build docs:

pip install -r docs/requirements.txt
make -C docs clean html

Download files

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

Source Distribution

picows-2.1.3.tar.gz (94.4 kB view details)

Uploaded Aug 4, 2026 Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

picows-2.1.3-cp314-cp314t-win_arm64.whl (308.3 kB view details)

Uploaded Aug 4, 2026 CPython 3.14tWindows ARM64

picows-2.1.3-cp314-cp314t-win_amd64.whl (362.9 kB view details)

Uploaded Aug 4, 2026 CPython 3.14tWindows x86-64

picows-2.1.3-cp314-cp314t-win32.whl (311.6 kB view details)

Uploaded Aug 4, 2026 CPython 3.14tWindows x86

picows-2.1.3-cp314-cp314t-musllinux_1_2_x86_64.whl (440.1 kB view details)

Uploaded Aug 4, 2026 CPython 3.14tmusllinux: musl 1.2+ x86-64

picows-2.1.3-cp314-cp314t-musllinux_1_2_aarch64.whl (414.7 kB view details)

Uploaded Aug 4, 2026 CPython 3.14tmusllinux: musl 1.2+ ARM64

picows-2.1.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (436.3 kB view details)

Uploaded Aug 4, 2026 CPython 3.14tmanylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

picows-2.1.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (408.8 kB view details)

Uploaded Aug 4, 2026 CPython 3.14tmanylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

picows-2.1.3-cp314-cp314t-macosx_11_0_arm64.whl (371.8 kB view details)

Uploaded Aug 4, 2026 CPython 3.14tmacOS 11.0+ ARM64

picows-2.1.3-cp314-cp314t-macosx_10_15_x86_64.whl (392.2 kB view details)

Uploaded Aug 4, 2026 CPython 3.14tmacOS 10.15+ x86-64

picows-2.1.3-cp314-cp314-win_arm64.whl (291.6 kB view details)

Uploaded Aug 4, 2026 CPython 3.14Windows ARM64

picows-2.1.3-cp314-cp314-win_amd64.whl (339.9 kB view details)

Uploaded Aug 4, 2026 CPython 3.14Windows x86-64

picows-2.1.3-cp314-cp314-win32.whl (291.1 kB view details)

Uploaded Aug 4, 2026 CPython 3.14Windows x86

picows-2.1.3-cp314-cp314-musllinux_1_2_x86_64.whl (438.2 kB view details)

Uploaded Aug 4, 2026 CPython 3.14musllinux: musl 1.2+ x86-64

picows-2.1.3-cp314-cp314-musllinux_1_2_aarch64.whl (406.9 kB view details)

Uploaded Aug 4, 2026 CPython 3.14musllinux: musl 1.2+ ARM64

picows-2.1.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (434.3 kB view details)

Uploaded Aug 4, 2026 CPython 3.14manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

picows-2.1.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (400.5 kB view details)

Uploaded Aug 4, 2026 CPython 3.14manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

picows-2.1.3-cp314-cp314-macosx_11_0_arm64.whl (350.7 kB view details)

Uploaded Aug 4, 2026 CPython 3.14macOS 11.0+ ARM64

picows-2.1.3-cp314-cp314-macosx_10_15_x86_64.whl (370.9 kB view details)

Uploaded Aug 4, 2026 CPython 3.14macOS 10.15+ x86-64

picows-2.1.3-cp313-cp313-win_arm64.whl (283.7 kB view details)

Uploaded Aug 4, 2026 CPython 3.13Windows ARM64

picows-2.1.3-cp313-cp313-win_amd64.whl (333.7 kB view details)

Uploaded Aug 4, 2026 CPython 3.13Windows x86-64

picows-2.1.3-cp313-cp313-win32.whl (287.4 kB view details)

Uploaded Aug 4, 2026 CPython 3.13Windows x86

picows-2.1.3-cp313-cp313-musllinux_1_2_x86_64.whl (435.7 kB view details)

Uploaded Aug 4, 2026 CPython 3.13musllinux: musl 1.2+ x86-64

picows-2.1.3-cp313-cp313-musllinux_1_2_aarch64.whl (400.3 kB view details)

Uploaded Aug 4, 2026 CPython 3.13musllinux: musl 1.2+ ARM64

picows-2.1.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (432.8 kB view details)

Uploaded Aug 4, 2026 CPython 3.13manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

picows-2.1.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (395.6 kB view details)

Uploaded Aug 4, 2026 CPython 3.13manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

picows-2.1.3-cp313-cp313-macosx_11_0_arm64.whl (349.7 kB view details)

Uploaded Aug 4, 2026 CPython 3.13macOS 11.0+ ARM64

picows-2.1.3-cp313-cp313-macosx_10_13_x86_64.whl (369.7 kB view details)

Uploaded Aug 4, 2026 CPython 3.13macOS 10.13+ x86-64

picows-2.1.3-cp312-cp312-win_arm64.whl (283.7 kB view details)

Uploaded Aug 4, 2026 CPython 3.12Windows ARM64

picows-2.1.3-cp312-cp312-win_amd64.whl (332.9 kB view details)

Uploaded Aug 4, 2026 CPython 3.12Windows x86-64

picows-2.1.3-cp312-cp312-win32.whl (287.4 kB view details)

Uploaded Aug 4, 2026 CPython 3.12Windows x86

picows-2.1.3-cp312-cp312-musllinux_1_2_x86_64.whl (435.7 kB view details)

Uploaded Aug 4, 2026 CPython 3.12musllinux: musl 1.2+ x86-64

picows-2.1.3-cp312-cp312-musllinux_1_2_aarch64.whl (399.4 kB view details)

Uploaded Aug 4, 2026 CPython 3.12musllinux: musl 1.2+ ARM64

picows-2.1.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (432.8 kB view details)

Uploaded Aug 4, 2026 CPython 3.12manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

picows-2.1.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (394.5 kB view details)

Uploaded Aug 4, 2026 CPython 3.12manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

picows-2.1.3-cp312-cp312-macosx_11_0_arm64.whl (351.1 kB view details)

Uploaded Aug 4, 2026 CPython 3.12macOS 11.0+ ARM64

picows-2.1.3-cp312-cp312-macosx_10_13_x86_64.whl (370.5 kB view details)

Uploaded Aug 4, 2026 CPython 3.12macOS 10.13+ x86-64

picows-2.1.3-cp311-cp311-win_arm64.whl (291.7 kB view details)

Uploaded Aug 4, 2026 CPython 3.11Windows ARM64

picows-2.1.3-cp311-cp311-win_amd64.whl (338.2 kB view details)

Uploaded Aug 4, 2026 CPython 3.11Windows x86-64

picows-2.1.3-cp311-cp311-win32.whl (293.9 kB view details)

Uploaded Aug 4, 2026 CPython 3.11Windows x86

picows-2.1.3-cp311-cp311-musllinux_1_2_x86_64.whl (432.4 kB view details)

Uploaded Aug 4, 2026 CPython 3.11musllinux: musl 1.2+ x86-64

picows-2.1.3-cp311-cp311-musllinux_1_2_aarch64.whl (404.3 kB view details)

Uploaded Aug 4, 2026 CPython 3.11musllinux: musl 1.2+ ARM64

picows-2.1.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (428.4 kB view details)

Uploaded Aug 4, 2026 CPython 3.11manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

picows-2.1.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (398.2 kB view details)

Uploaded Aug 4, 2026 CPython 3.11manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

picows-2.1.3-cp311-cp311-macosx_11_0_arm64.whl (352.6 kB view details)

Uploaded Aug 4, 2026 CPython 3.11macOS 11.0+ ARM64

picows-2.1.3-cp311-cp311-macosx_10_9_x86_64.whl (372.5 kB view details)

Uploaded Aug 4, 2026 CPython 3.11macOS 10.9+ x86-64

picows-2.1.3-cp310-cp310-win_arm64.whl (291.6 kB view details)

Uploaded Aug 4, 2026 CPython 3.10Windows ARM64

picows-2.1.3-cp310-cp310-win_amd64.whl (336.3 kB view details)

Uploaded Aug 4, 2026 CPython 3.10Windows x86-64

picows-2.1.3-cp310-cp310-win32.whl (293.9 kB view details)

Uploaded Aug 4, 2026 CPython 3.10Windows x86

picows-2.1.3-cp310-cp310-musllinux_1_2_x86_64.whl (432.9 kB view details)

Uploaded Aug 4, 2026 CPython 3.10musllinux: musl 1.2+ x86-64

picows-2.1.3-cp310-cp310-musllinux_1_2_aarch64.whl (403.4 kB view details)

Uploaded Aug 4, 2026 CPython 3.10musllinux: musl 1.2+ ARM64

picows-2.1.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (430.5 kB view details)

Uploaded Aug 4, 2026 CPython 3.10manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

picows-2.1.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (398.9 kB view details)

Uploaded Aug 4, 2026 CPython 3.10manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

picows-2.1.3-cp310-cp310-macosx_11_0_arm64.whl (354.2 kB view details)

Uploaded Aug 4, 2026 CPython 3.10macOS 11.0+ ARM64

picows-2.1.3-cp310-cp310-macosx_10_9_x86_64.whl (373.2 kB view details)

Uploaded Aug 4, 2026 CPython 3.10macOS 10.9+ x86-64

picows-2.1.3-cp39-cp39-win_arm64.whl (292.9 kB view details)

Uploaded Aug 4, 2026 CPython 3.9Windows ARM64

picows-2.1.3-cp39-cp39-win_amd64.whl (337.4 kB view details)

Uploaded Aug 4, 2026 CPython 3.9Windows x86-64

picows-2.1.3-cp39-cp39-win32.whl (295.0 kB view details)

Uploaded Aug 4, 2026 CPython 3.9Windows x86

picows-2.1.3-cp39-cp39-musllinux_1_2_x86_64.whl (434.5 kB view details)

Uploaded Aug 4, 2026 CPython 3.9musllinux: musl 1.2+ x86-64

picows-2.1.3-cp39-cp39-musllinux_1_2_aarch64.whl (404.7 kB view details)

Uploaded Aug 4, 2026 CPython 3.9musllinux: musl 1.2+ ARM64

picows-2.1.3-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (431.8 kB view details)

Uploaded Aug 4, 2026 CPython 3.9manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

picows-2.1.3-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (399.6 kB view details)

Uploaded Aug 4, 2026 CPython 3.9manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

picows-2.1.3-cp39-cp39-macosx_11_0_arm64.whl (356.3 kB view details)

Uploaded Aug 4, 2026 CPython 3.9macOS 11.0+ ARM64

picows-2.1.3-cp39-cp39-macosx_10_9_x86_64.whl (374.8 kB view details)

Uploaded Aug 4, 2026 CPython 3.9macOS 10.9+ x86-64

File details

Details for the file picows-2.1.3.tar.gz.

File metadata

Download URL: picows-2.1.3.tar.gz
Upload date: Aug 4, 2026
Size: 94.4 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for picows-2.1.3.tar.gz
Algorithm	Hash digest
SHA256	`2ce2882601cfaaa149696645cc72c93f8d4e8988e6c5823341853bd11fa715a5`
MD5	`05f8955056dfd07cb2d2ec0417ad9989`
BLAKE2b-256	`5c7c41d4e2e13cc6fa6a3f99f51f9756b629378f202f50a8c7f0887015a2378d`

Algorithm	Hash digest
SHA256	`659f64336aaa4c2dacd01fd7b2a2ec298a171724c6f925e07b1f318a5ed482ce`
MD5	`aa491889d2af30178010af4a58adcf04`
BLAKE2b-256	`255a82be5ccd4b42f956cdc5a973d3474fb7a90de5a2c2cb2c847ae8f6e98371`

Algorithm	Hash digest
SHA256	`9bb1b56bdcfaf840529273a424443b4ccb664392a35424c3256f3b868b3fc2b5`
MD5	`1166d5029bbbf0d05895c67ed3b44093`
BLAKE2b-256	`0cd63e86750dc3bff456e5792b59251554f7f34a1b87eb9538c7a322b74b1f75`

Algorithm	Hash digest
SHA256	`54681ccb89dc5a021446acb8d7d5c6830f52721bd44c2dbac614a91e9249743a`
MD5	`3d57cea068a128da9633ddfa3735bd49`
BLAKE2b-256	`e3372665c114fd3bb9698cc27c53787bda686ddb5329d4c81031401c33e651fd`

Algorithm	Hash digest
SHA256	`23a270a5db4d2e875bcd4172183189f76ef457a64760f37b61ff8e47aba0826a`
MD5	`63280dbd807365374b2d3d25860fc6f3`
BLAKE2b-256	`573ff7f618310ec19703531eb884e923b7fab57118ebeb0ac2eb1684b702ca00`

Algorithm	Hash digest
SHA256	`3e59553eddf1566339d5ff16395e49e344c2087354899a8bdb60f867ffdb8f92`
MD5	`12d20dd6a6a18f896d9a1c44ddc87f98`
BLAKE2b-256	`2706b9956220f02b5e9ed8c9d05cf39eae46a956f808b47d96e94f9078786909`

Algorithm	Hash digest
SHA256	`868c05495bc8c3683e5fe24a9e9565329822cb7df1c8a5a9ebba472296ee1552`
MD5	`58483591b7eb3192b645bb40450057b6`
BLAKE2b-256	`dba9469392a6dab10e096695bab5511a57ab604abd1c8050ba9e715789d4e588`

Algorithm	Hash digest
SHA256	`e93f845b589fdd57732b4e24bd834898b7e11df23f1c360c15b0b8935a6e5c31`
MD5	`a38035017151d50c20d6c67c1a4a7172`
BLAKE2b-256	`fb4d05763fe55475b027f382c888a678b1df6a3efa777ea516a14742516999a5`

Algorithm	Hash digest
SHA256	`46d0024a71ebdf2eb2e505a15fec138d980a21ac90d2e1501ec05d051db0d718`
MD5	`dc22528050ef720e6c35b4891c18e534`
BLAKE2b-256	`9086e5992e7644c9abbdee05cb57d83a99de4181c59c86424a41237e16fc6b0f`

Algorithm	Hash digest
SHA256	`a8708ddd3d9441ad4c613bc5e5116d05fdf0d47ff93b9c67eddb682de578c22c`
MD5	`ffaf545d6f0d9798c7035711df5d6e1f`
BLAKE2b-256	`3fa76d42e105c2cbd8325724d989b196c9610ab5000d53399c45ae4fe9b980a1`

Algorithm	Hash digest
SHA256	`02e0a22c63dc819c8a7c07e0dfd03dc396bd9cfce7179c1e45f7b9714ae1af1a`
MD5	`96b17c265602323dcd15dd6648a4b876`
BLAKE2b-256	`460d0e75e44fd48bb85a868269a18976b4d7dbdda7d560ade80947070541070b`

Algorithm	Hash digest
SHA256	`ced209c6eb7b01bcc11333f5ca8dfc88a27c64df829be819ae7a2737df8ac0ae`
MD5	`09b48df73e72fccd469607f35abdb094`
BLAKE2b-256	`ad65fa203a70999cd872ed1c4bca5a4ebbb261df64aa407c9728ac1f49cdaaf1`

Algorithm	Hash digest
SHA256	`01bff8669b7068a5cdd98cb62a245e378f74d26cd46a407cfaeb33516cd9096e`
MD5	`dff0697e5cf92a1cd6f2d5fd6ea67019`
BLAKE2b-256	`d12a3eea3d2d0ff21253aba79667442d5528636684281dd93f0a7c9c1dcbc462`

Algorithm	Hash digest
SHA256	`de4bc99b6d9869aecff63aa038676ee50488cdd583bc942bbcfb50ad8a983893`
MD5	`6813a6d4a1ff2229975e338988af60b7`
BLAKE2b-256	`80eb0cfe173e087cc99a041609c8763284dbf0a8998359b690895aab2601da05`

Algorithm	Hash digest
SHA256	`a49971654008c4f142ba37dbc0d58d495cc6cff5ce8e82b473979284f6fdf04a`
MD5	`2f3b105eb2136ca11dfe35b85ba06d79`
BLAKE2b-256	`406018104003a7f0f1872ed6d16a39a0fe6ac48a58c65b99592ce3bbdbbc6bf0`

Algorithm	Hash digest
SHA256	`c6e1563bc137f005c2312fc9b444cb5e4ba4ccc01c98e6932ee9bdffef2d3d09`
MD5	`26816f53a1c7dfe1fc336f3b21e9d01b`
BLAKE2b-256	`535a4ecc1e6cb318a0f5aebce4ff941b8d414bae5e7e85e6ce3065f325fe3a9a`

Algorithm	Hash digest
SHA256	`1fcfaede711a78d66cb6d9e753da577a51eb6762bd185d8294df86a53a82754b`
MD5	`8a564b4e32e111e553817e68e8864326`
BLAKE2b-256	`12811e4fdd8423ea9175dcd4bb5b5fd36928857ff370f416fdbafb527735abea`

Algorithm	Hash digest
SHA256	`5685325d959bf76f1128cd1fb46edeaa3f03fa18454d4dab8873c3b32761070d`
MD5	`3345f999fafad2b40ec7ca966a500ec5`
BLAKE2b-256	`300b4dd03a680525177d7918fc384e578418f60d5e827414179c6860faa9c39a`

Algorithm	Hash digest
SHA256	`02345ed1d652ce2e170ac35016fadbe8c7b2bdf1597fc08f1453388e4465c260`
MD5	`46e4f00ea35f546e363272af8d681c19`
BLAKE2b-256	`753a31f922b27b84492621d4fc808ea43be1e63b6472be67ce1449c980da2b9d`

Algorithm	Hash digest
SHA256	`655807abcf84283173fe41e7de4db3903f6428a10e67f8074256152f503b7c97`
MD5	`0c8d2322ea50fcd45a37995e13cf3026`
BLAKE2b-256	`b5c6597d8042243b1000403cd2f490779b95f5649a1268df68cf4e1e4189feab`

Algorithm	Hash digest
SHA256	`fac5e485741c2dc8764dfb21771090c5744d4cc8fb59d51edae747f41d4fbf51`
MD5	`1cdd1c8331e7da2af6b86bf02c8ed1ab`
BLAKE2b-256	`a35f99131522535ef179bb63517d529a4819a973df519980cadea763b489d514`

picows 2.1.3

:zap: Introduction

💡 Key Features

📦 Installation

🤔 Getting started

websockets API

Client

Server

Core API

Client

Server

:hammer: Contributing / Building From Source

Project links

Key dates

1 maintainer

Credits

GitHub Statistics

Requires

Provides Extra

Tags

Classifiers

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

Algorithm	Hash digest
SHA256	`97725e92b8f975b13920850c33786090df0bfe186953ea276bd351a1d304e39a`
MD5	`ad2003b85c7ea68e59e43d04d957d5e2`
BLAKE2b-256	`a74df9fc436e62e7923a8136b5b1fdf5e7a14a8c1670a1eec715d43337660af4`

Algorithm	Hash digest
SHA256	`5063630fb7a683842c1f6c8b540975cc61ede40e25ce6f84a2caefe8f7bdaf54`
MD5	`47f7de90f7485393656b398a7985625d`
BLAKE2b-256	`c5585be3f4396c8621a111c8b12ff59b874bd3275db241733ce64411c40d677c`

Algorithm	Hash digest
SHA256	`7cc2ce1970fd772c24f8e8d3b7f73666b80daec5c56fa4a35c7d80db8c7631b6`
MD5	`d092c3a3ad7161627d9f30939c2c5cf2`
BLAKE2b-256	`4aec190299997eb8eacfac67b198d80c556a28095ccfd937ebd1bbba89bf2ac7`

Algorithm	Hash digest
SHA256	`cd438ee094644ad842f19a73474403220373134b1c2bea31fdd3a3395bb177cc`
MD5	`ccbeda681d1c6b70ff5d3912cf7eb08c`
BLAKE2b-256	`738f31a581a81a371a11bb11e2ae51d51944a471279283a5dee3730ac238f017`

Algorithm	Hash digest
SHA256	`4d1049961ce829410d9c076d67a078978c647544c61c5e8ced47da3ee3d4c106`
MD5	`4c1e5c53139fa94fd065c00a55e65139`
BLAKE2b-256	`ff843b9853805a2ceef325e59dafd2d92b2b5c9989eb08c16fa1fd6f83b431ad`

Algorithm	Hash digest
SHA256	`c7aeaa85a98316f3b163246d18963ad6adbd71dcb780a09affe6bcd2ab47c0b6`
MD5	`6beee1e01b6bdb09b489faedf03b024a`
BLAKE2b-256	`6c93c78abaeea240d7bb4eeca23b896a7f3449a25cd9eea14f119d962811e182`

Algorithm	Hash digest
SHA256	`ae2e869ebfdd1886708201b127f429785169dae0d6063c6bef7cb222d95a10b7`
MD5	`93f63b80a4df5e18d1ec103031c741af`
BLAKE2b-256	`3192ed0d98be58c9a33490ad424eb73480f0e2085b46651f997bfc7bf57be9ec`

Algorithm	Hash digest
SHA256	`905802a041c49b9e7efe51b01e57a625838c1b520c10d159935c6538c1f9e5c1`
MD5	`0f7913a37537cee88fa3d406ab81eec6`
BLAKE2b-256	`54367f08c281c2e7d3414350df7e2307760260e182c93c2a97dc9548f1115383`

Algorithm	Hash digest
SHA256	`bb002feb6965f9ecb3d17107dd00fe68c0615b34526a03ee835dd2a3431f43c7`
MD5	`e12a07b6ae91e0950bceec0ff8f734a6`
BLAKE2b-256	`fe041432a7e9d7aa9b3d36ad198cbdf298f806b78d2f9ec6c0558f93dac83dd6`

Algorithm	Hash digest
SHA256	`12f95c5a9f936f5194c973faee81a8e77a835e2afb295cdae7c1648fe36108c8`
MD5	`f8bd1aeaed1df2b451238c889bed5b72`
BLAKE2b-256	`e7c071fe3f2d5a7a63f6e3ac173631e7f3f75a288fd13f308be6bfd12ecf38d4`