pyureq 0.1.1

A requests-compatible HTTP library powered by Rust's ureq crate

pyureq

A requests-compatible Python HTTP library backed by Rust's ureq crate. Drop-in replacement for requests — same API, lower overhead, no external runtime dependency.

Installation

pip install pyureq

Pre-built wheels are available for Linux, macOS, and Windows (Python 3.9+). The wheel bundles its own OpenSSL, so no system dependency is required.

Quick start

import pyureq

# Simple GET
r = pyureq.get("https://httpbin.org/get", params={"q": "hello"})
print(r.status_code)   # 200
print(r.json())

# POST JSON
r = pyureq.post("https://httpbin.org/post", json={"key": "value"})
print(r.json()["json"])

# POST form data
r = pyureq.post("https://httpbin.org/post", data={"field": "hello"})
print(r.json()["form"])

# With timeout and headers
r = pyureq.get(
    "https://httpbin.org/get",
    headers={"X-Custom": "header"},
    timeout=5,
)
r.raise_for_status()

Alias as requests

Existing code that imports requests can be pointed at pyureq with a one-line change:

import pyureq as requests          # <- only change needed

r = requests.get("https://example.com")
print(r.text)

Sessions

pyureq.Session maps directly to requests.Session and shares the same connection pool across requests:

import pyureq

with pyureq.Session() as s:
    s.headers.update({"Authorization": "Bearer mytoken"})
    s.timeout = 10

    r = s.get("https://api.example.com/users")
    r = s.post("https://api.example.com/items", json={"name": "widget"})

API reference

Top-level functions

Function	Description
pyureq.get(url, **kwargs)	GET
pyureq.post(url, data=None, json=None, **kwargs)	POST
pyureq.put(url, data=None, **kwargs)	PUT
pyureq.patch(url, data=None, **kwargs)	PATCH
pyureq.delete(url, **kwargs)	DELETE
pyureq.head(url, **kwargs)	HEAD
pyureq.options(url, **kwargs)	OPTIONS
pyureq.request(method, url, **kwargs)	Any method
pyureq.session()	Create a Session

Common keyword arguments

Argument	Type	Description
params	dict or list[tuple]	Query string parameters
data	dict, str, or bytes	Form-encoded or raw request body
json	any JSON-serializable	JSON request body
headers	dict	Extra HTTP headers
cookies	dict	Cookies to send
auth	(user, password)	HTTP Basic Auth
timeout	float	Seconds before timing out
allow_redirects	bool	Follow redirects (default True)
verify	bool	Verify TLS certificate (default True)

Response attributes and methods

Name	Description
.status_code	Integer status (e.g. 200)
.headers	Case-insensitive response headers
.content	Response body as bytes
.text	Response body decoded to str
.encoding	Encoding used for .text (readable/writable)
.url	Final URL after redirects
.ok	True if status < 400
.elapsed	datetime.timedelta of round-trip time
.json(**kwargs)	Parse body as JSON
.raise_for_status()	Raise HTTPError on 4xx/5xx

Exceptions

All exceptions live under pyureq.exceptions and mirror the requests exception hierarchy:

RequestException
├── ConnectionError
│   └── ProxyError
│       └── SSLError
├── HTTPError
├── URLRequired
├── TooManyRedirects
├── Timeout
│   ├── ConnectTimeout
│   └── ReadTimeout
└── ...

import pyureq
from pyureq.exceptions import Timeout, HTTPError

try:
    r = pyureq.get("https://example.com", timeout=2)
    r.raise_for_status()
except Timeout:
    print("Request timed out")
except HTTPError as e:
    print(f"HTTP error: {e.response.status_code}")

Building from source

Requires Rust and maturin:

pip install maturin
maturin build --release
pip install target/wheels/*.whl

For a development install (rebuild-on-change):

pip install maturin
maturin develop

Running tests

pip install pytest flask
pytest tests/ -v

Benchmarks

All benchmarks run against a local server to eliminate network jitter.

Single-thread latency

Mean latency (ms) per request — lower is better.

Scenario             pyureq   requests   curl_cffi    httpx†
──────────────────────────────────────────────────────────────
GET /get               1.58       2.59        2.46       2.39
GET /get (params)      1.45       2.68        2.36       2.37
POST JSON              1.56       2.74        2.16       2.39
POST form              1.68       3.33        2.17       2.17
GET /status/200        1.24       2.43        2.03       1.85
GET /headers           1.44       2.72        2.37       2.37
──────────────────────────────────────────────────────────────
Overall mean           1.49       2.75        2.26       2.26
                       ×1.0    ×1.85 slower ×1.52 slower ×1.52 slower

†httpx measured with Client() session; httpx.get() stateless has ~68 ms per-call overhead (creates/destroys a full transport each time).

Concurrency — 1 000 simultaneous threads

Each thread makes 5 sequential requests (5 000 total). Higher req/s and lower p99 latency is better; fewer errors is better.

Mode        Library      req/s    p99 ms    errors
──────────────────────────────────────────────────
stateless   pyureq         268      7 242      26 / 5000  ← fewest errors
            curl_cffi     226     10 039     457 / 5000
            requests      203     15 248     404 / 5000

session     pyureq         261      9 206      46 / 5000
            curl_cffi     232     10 038     450 / 5000
            requests      244     10 015     327 / 5000

At 1 000 threads pyureq delivers 19 % more throughput and 17× fewer timeouts than curl_cffi in stateless mode. The advantage comes from lower Python-layer overhead per request: because pyureq's response parsing happens entirely in Rust, it holds the GIL for a shorter window (~0.3 ms vs ~0.8 ms), reducing GIL pile-up under heavy concurrency.

GIL behaviour

All four libraries release the GIL during network I/O — background Python threads can run while requests are in flight. The difference is how much Python overhead each library runs with the GIL held before and after each I/O call.

Library      GIL held per request (approx)
──────────────────────────────────────────
pyureq        ~0.3 ms   (parsing in Rust)
curl_cffi     ~0.8 ms   (CFFI + Python result handling)
requests      ~1.2 ms   (urllib3 pure-Python stack)

Run the benchmarks yourself:

pip install requests httpx curl_cffi

python benchmarks/bench.py          --iterations 500   # latency
python benchmarks/bench_threads.py  --requests 5       # concurrency
python benchmarks/bench_gil.py      --iterations 200   # GIL behaviour

How it works

Python call
    │
    ▼
pyureq Python layer   ← thin: arg normalisation, exception mapping
    │
    │  py.allow_threads()  ← GIL released here
    ▼
Rust / ureq         ← HTTP request + response parsing, all in Rust
    │
    ▼
native-tls          ← system TLS on macOS/Windows, bundled OpenSSL on Linux
    │
    ▼
TCP socket

The GIL is released for the entire Rust call — connection, TLS handshake, send, recv, and response parsing all happen without blocking other Python threads. The GIL is re-acquired only to build the final Python Response object.

The Rust core uses ureq, a synchronous (no async runtime) HTTP/1.1 client built on Rust's standard blocking I/O.

License

MIT