websockets

Build correct, fast WebSocket servers and clients in Python with asyncio, threading, or Sans-I/O APIs.

Library
PyPI
v17.3
5,736 stars
BSD 3-Clause License

Repository Health

Pre-computed score based on development activity, maintenance, community, maturity, and trend momentum. How we score it →
91 /100 Excellent
Development Activity 100
Maintenance 84
Community 80
Maturity 60
Momentum 40

Technical Analysis

AI-assessed by reading the actual repository — architecture, code quality, innovation, and documentation. How we score it →
91 /100 Excellent
Architecture 91
Code Quality 93
Innovation 90
Learning Curve 88

websockets is a Python library for building WebSocket servers and clients with a focus on correctness, simplicity, robustness, and performance. Its default implementation is built on asyncio and exposes an elegant coroutine-based API, while additional threading and Sans-I/O implementations let you integrate WebSockets into any concurrency model.

Heavily tested for compliance with RFC 6455 and RFC 7692, websockets enforces 100% branch coverage in CI and ships a C extension with prebuilt wheels for fast, memory-efficient production deployments. All you need to remember is await ws.recv() and await ws.send(msg) — the library manages connections, ping/pong keepalives, backpressure, and clean closes for you.

What You Get

  • An asyncio implementation with a coroutine-based serve/connect API and async iteration over incoming messages
  • A synchronous threading implementation for scripts and codebases that do not use asyncio
  • A Sans-I/O core (websockets.protocol) you can drive from any I/O framework
  • A C speedups extension with prebuilt wheels for Linux, macOS, and Windows across Python versions
  • Built-in permessage-deflate compression, basic-auth helpers, proxy support, and a websockets CLI client

Common Use Cases

  • Serving realtime updates to browser or mobile clients over a persistent WebSocket connection
  • Writing a WebSocket client to consume a streaming API or exchange feed
  • Building the WebSocket transport layer underneath higher-level frameworks such as uvicorn or Sanic
  • Bridging services with low-latency bidirectional messaging without polling

Under The Hood

Architecture — websockets is organized around a Sans-I/O core: src/websockets/protocol.py together with client.py and server.py implement the RFC 6455 state machine as pure functions over bytes and events, entirely decoupled from any I/O. Concrete transports wrap this core — src/websockets/asyncio/ provides the asyncio Connection, ServerConnection, and ClientConnection classes plus serve/connect, src/websockets/sync/ provides the threading equivalents, and src/websockets/legacy/ retains the previous asyncio implementation for compatibility. Framing, headers, URIs, and HTTP/1.1 handshake handling are factored into dedicated modules (frames.py, headers.py, uri.py, http11.py), and the public surface is re-exported lazily via imports.lazy_import in __init__.py. Tech Stack — Pure Python (requires Python >=3.11) built on the standard-library asyncio and threading modules with no runtime third-party dependencies; an optional C extension (speedups.c) accelerates frame masking and is shipped as prebuilt wheels via cibuildwheel. Packaging uses setuptools with configuration in pyproject.toml, and the project ships a py.typed marker for full type-checker support. Code Quality — Exceptionally strong: 59 test modules under tests/ mirror the source layout, CI fails under 100% branch coverage, and the codebase is fully type-annotated with from __future__ import annotations and precise typing throughout. Naming is consistent, docstrings are thorough, and error handling is modeled by a dedicated exceptions.py hierarchy (ConnectionClosed, InvalidHandshake, and friends). API Design — The public API is deliberately minimal and ergonomic: async with serve(handler, host, port) for servers, async with connect(uri) for clients, and just send/recv plus async iteration for messages. The same conceptual API is mirrored across the asyncio and threading implementations, documentation on Read the Docs is a first-class concern with a tutorial and reference, and connection management, backpressure, and keepalive are handled automatically so little boilerplate is required.

Used by 30 apps in this directory

Python
60%
MIT

Foxel

File Storage

1,100

Self-hosted private cloud storage with AI semantic search and a pluggable multi-backend file management system.

View details
81
Repo Health
68
Technical
73
Dependency
Built with
Python 60%
TypeScript 37%
Updated 1 weeks ago
Python
71%
Apache 2.0

GPT Researcher

AI Assistants · Productivity

30,269

The pioneering open-source autonomous AI agent that conducts deep, multi-source research and produces citation-backed reports exceeding 2,000 words — faster and more reliably than any human researcher.

View details
90
Repo Health
91
Technical
64
Dependency
Built with
Python 71%
TypeScript 18%
Updated 2 weeks ago
JavaScript
54%
MIT

GPU Hot

Devops · Monitoring

1,643

Real-time NVIDIA GPU monitoring dashboard — self-hosted, scale from 1 to 100+ GPUs with sub-second metrics and no cloud dependency.

View details
51
Repo Health
73
Technical
79
Dependency
Built with
JavaScript 54%
Python 34%
Updated 2 months ago
Python
82%
Apache 2.0

headroom

AI Development · Developer Tools

77,676

Compress everything your AI agent reads — tool outputs, logs, RAG chunks, and files — before it reaches the LLM, achieving 60–95% fewer tokens with the same answers.

View details
85
Repo Health
86
Technical
69
Dependency
Built with
Python 82%
Rust 12%
Updated 6 days ago
TypeScript
91%
Apache 2.0

Helicone

AI Development · Analytics · Monitoring

6,235

An open-source AI gateway and LLM observability platform that routes requests to 100+ models while logging cost, latency, and full traces for every call.

View details
74
Repo Health
81
Technical
65
Dependency
Built with
TypeScript 91%
Updated 6 days ago
Rust
72%
Other

iii

Developer Tools · Devops

18,854

Compose, extend, and observe every backend service in real time using three primitives: Workers, Functions, and Triggers.

View details
87
Repo Health
85
Technical
65
Dependency
Built with
Rust 72%
TypeScript 16%
Updated 1 weeks ago
Python
51%
AGPL 3.0

Khoj

AI Assistants · Knowledge Management · Productivity

37,802

A self-hostable AI second brain that chats with your documents, searches the web, builds custom agents, and runs entirely on your own LLM.

View details
62
Repo Health
82
Technical
66
Dependency
Built with
Python 51%
TypeScript 36%
Updated 2 months ago
Python
84%
MIT

LiteLLM

AI Development · Developer Tools

61,933

Open source AI gateway and Python SDK that gives you one OpenAI-compatible interface to call 100+ LLM providers, with built-in routing, cost tracking, guardrails, and virtual keys.

View details
93
Repo Health
81
Technical
69
Dependency
Built with
Python 84%
TypeScript 11%
Updated 6 days ago
Python
62%
Apache 2.0

marimo

Data Engineering · Developer Tools

23,309

A reactive Python notebook that eliminates hidden state, runs reproducibly, and deploys as a web app or script — stored as pure Python, built for the AI era.

View details
90
Repo Health
91
Technical
65
Dependency
Built with
Python 62%
TypeScript 37%
Updated 6 days ago

Join founders buildingwith open source

Opinionated takes, migration guides, cost-saving tips, and insights from the open source ecosystem.

Subscribe on Substack
Join 750+ subscribers