HTTPX

A next-generation HTTP client for Python with sync, async, and HTTP/2 support

Library
PyPI
v0.28.1
15,736 stars
BSD 3-Clause License

Repository Health

Pre-computed score based on development activity, maintenance, community, maturity, and trend momentum. How we score it →
66 /100 Good
Development Activity 40
Maintenance 44
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 →
87 /100 Excellent
Architecture 85
Code Quality 88
Innovation 84
Learning Curve 90

HTTPX is a fully featured HTTP client for Python 3 that provides a broadly requests-compatible API while adding first-class support for both synchronous and asynchronous programming models. It supports HTTP/1.1 and HTTP/2 out of the box, ships an optional command-line client, and can dispatch requests directly to WSGI or ASGI applications for in-process testing.

Built by the Encode organization (also behind Starlette and Uvicorn), HTTPX layers a friendly, typed API on top of the lower-level httpcore transport library, giving developers connection pooling, streaming responses, proxy support, and strict timeout handling without sacrificing the ergonomics that made requests popular.

What You Get

  • A Client/AsyncClient pair with identical APIs for sync and async code, plus module-level httpx.get()/httpx.post() shortcuts
  • Native HTTP/2 support (opt-in via the http2 extra) alongside HTTP/1.1
  • Direct-to-app transports (WSGITransport, ASGITransport) for testing web apps without a running server
  • Connection pooling, streaming request/response bodies, and multipart file uploads
  • A pluggable httpcore-based transport layer with a MockTransport for unit-testing HTTP calls
  • An optional CLI (httpx[cli]) for making requests from the terminal with syntax-highlighted output

Common Use Cases

  • Calling external REST APIs from a Python backend service, sync or async
  • Writing integration tests for FastAPI/Starlette apps via ASGITransport without binding a real port
  • Streaming large file downloads or uploads with bounded memory usage
  • Migrating an existing requests-based codebase to async with minimal API changes
  • Building HTTP/2-aware clients that need multiplexed connections to modern APIs

Under The Hood

Architecture — HTTPX separates concerns cleanly across a few layers: _client.py (2,019 lines) defines a BaseClient holding shared state (auth, headers, cookies, timeouts, redirect policy) that both the synchronous Client and asynchronous AsyncClient subclass; _api.py exposes stateless module-level functions (get, post, request, stream, etc.) that construct a short-lived Client under the hood for one-off calls; _models.py (1,277 lines) implements Request/Response/Headers/URL value objects; and the _transports/ package (default.py, asgi.py, wsgi.py, mock.py, base.py) implements the actual wire-level dispatch, delegating real network I/O to the httpcore library while ASGITransport/WSGITransport bypass the network entirely to call an application object in-process — this is what makes HTTPX popular for testing async web frameworks.

Tech Stack — Pure Python 3.9+, built with hatchling/hatch-fancy-pypi-readme. Core runtime dependencies are minimal and deliberate: httpcore==1.* (transport), certifi (CA bundle), idna (IDN support), and anyio (async concurrency abstraction, enabling both asyncio and Trio backends). Optional extras (h2 for HTTP/2, socksio for SOCKS proxies, click/rich/pygments for the CLI, brotli/zstandard for extra content-encoding support) keep the base install lean while allowing opt-in capability.

Code Quality — The project advertises and maintains 100% test coverage (tool.coverage.run config enforces this), with 37 test modules under tests/ covering client behavior, transports, models, and edge cases like redirects and multipart encoding. Strict mypy mode is enabled project-wide (tool.mypy: strict = true), and ruff lint rules (E, F, I, B, PIE) are enforced. Internal modules use a leading-underscore convention (_client.py, _models.py) to clearly separate public API surface (re-exported via __init__.py) from implementation detail.

API Design — HTTPX deliberately mirrors the requests API (httpx.get(url), response .json()/.text/.status_code) so migration is close to a drop-in replacement, while extending it with async def equivalents on AsyncClient using the identical method names and signatures. Context-manager usage (with httpx.Client() as client: / async with httpx.AsyncClient() as client:) is the documented idiom for connection reuse, and the library is fully type-annotated, giving strong editor autocomplete and static-analysis support out of the box.

Used by 86 apps in this directory

Python
71%
MIT

Langflow

AI Agents · AI Development

155,973

Build, test, and deploy AI agents and RAG workflows visually with native API and MCP server export.

View details
90
Repo Health
85
Technical
64
Dependency
Built with
Python 71%
TypeScript 21%
Updated 6 days ago
TypeScript
78%
LGPL 3.0

Latitude

AI Agents · Monitoring

4,733

Open-source AI agent monitoring that catches what will break next before your users do.

View details
87
Repo Health
88
Technical
67
Dependency
Built with
TypeScript 78%
Python 11%
Rust 11%
Updated 1 weeks ago
Python
53%
AGPL 3.0

LearnHouse

CMS · Learning Management

2,413

Open-source LMS with AI tutoring, real-time collaboration boards, live code execution, and built-in course monetization — self-hosted in minutes.

View details
90
Repo Health
77
Technical
65
Dependency
Built with
Python 53%
TypeScript 45%
Updated 6 days 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
97%
MIT

local-deep-researcher

AI Assistants · AI Development

9,387

A fully local web research assistant that iteratively searches, summarizes, and refines markdown reports using any Ollama or LMStudio model—no cloud or API keys required.

View details
49
Repo Health
74
Technical
76
Dependency
Built with
Python 97%
Updated 2 weeks ago
TypeScript
49%
Apache 2.0

LTX-Desktop

AI Design Tools · Video Editors

2,141

An open-source Electron app that runs LTX-2 text-to-video, image-to-video, and video editing models locally on your GPU, or via a cloud API when your hardware can't keep up.

View details
76
Repo Health
82
Technical
73
Dependency
Built with
TypeScript 49%
Python 46%
Updated 1 weeks ago
Rust
79%
MIT

mnemo

AI Agents · AI Development · AI Memory

237

A local-first AI memory sidecar that extracts entities, builds a persistent knowledge graph, and injects ranked context into any LLM pipeline — no cloud required.

View details
27
Repo Health
78
Technical
76
Dependency
Built with
Rust 79%
Python 16%
Updated 4 months ago
Python
66%
Other

Morphik

AI Development · Databases · Search

3,717

Morphik is an AI-native ingestion and retrieval engine that lets developers store, search, and reason over visually rich documents — scanned PDFs, manuals, slides, and video — without duct-taping together OCR, an embedding model, and a vector database.

View details
64
Repo Health
71
Technical
67
Dependency
Built with
Python 66%
TypeScript 23%
Updated 1 weeks ago
TypeScript
84%
Apache 2.0

nao

AI Development · Analytics

1,949

Build and deploy an open-source analytics agent that understands your data warehouse and answers business questions in plain English.

View details
85
Repo Health
76
Technical
67
Dependency
Built with
TypeScript 84%
Python 15%
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