encode / httpx
A next generation HTTP client for Python. 🦋
github.com/encode/httpxIndexed at b5addb6Up to date with upstream
About this codebase
HTTPX is a Python HTTP client that takes your request inputs (methods, URLs, headers, bodies, auth, and timeout/proxy configuration), runs them through its request/transport pipeline, and produces structured responses (including status codes, headers, cookies, streams, and raised exceptions) via synchronous and asynchronous entry points like `httpx/init.py` and the transports in `httpx/_transports/base.py` and `httpx/_transports/asgi.py`/`httpx/_transports/wsgi.py`. It’s used by application developers and tooling authors who want an ergonomic, `requests`-style interface while supporting richer behaviors such as pluggable transports, typed request/response models, and multiple execution contexts (including ASGI/WSGI integration).
Written by gpt-5.4-nano from the index
98 files and 1,245 symbols in 2 modules, written in Python.
Code health
This codebase scores 6.9 out of 10 for code health, which we rate fair. It also scores maintainability 7.5 and static performance 9.9 out of 10. The three are scored separately and never blended into one number.
Do next
1 thing worth doing in the week to Feb 23, the last indexed commit, 1 of them now.
Now
- High
Start breaking up urlparse (CCN 42, 81 lines): first lift lines 231-264 into a helper
httpx/_urlparse.py:231
urlparse has many independent paths through it, and part of it is duplicated, so splitting it also removes a copy; 2 files import it.
- gain
- +0.6 health on this file(inferred)
- health recoverable
- +0.6(inferred)
- size
- CCN 42, 81 lines, nests 3 deep
- steps
- 2 (2 mechanical)
Small effort
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- line coverage
- Unknown, no report
Small effort
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[](https://repowise.dev/repo/encode/httpx?src=badge_card)How encode/httpx works
A next generation HTTP client for Python. 🦋 This page is a map of the encode/httpx repository, written primarily in Python, rebuilt from the source each time it is indexed. Repowise parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the architectural decisions into documentation you can read here or query through MCP.
The codebase has 98 files and 1,245 symbols in 2 modules, led by Python. Code health is 6.9 out of 10, rated fair.
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