An event loop for asyncio written in Rust

rsloop is a PyO3-based asyncio event loop implemented in Rust.

Each rsloop.Loop owns a dedicated Rust runtime thread for loop coordination and I/O work. On Linux, low-level fd watchers plus plain TCP / Unix socket readiness, socket reads, and non-TLS server accepts are driven from that thread through compio with io_uring support enabled. Python callbacks, tasks, and coroutines still run on the thread that calls run_forever() or run_until_complete() (usually the main Python thread).

The package exposes:

a native extension module at rsloop._loop
a Python wrapper in python/rsloop/__init__.py
rsloop.Loop, rsloop.EventLoopPolicy, rsloop.new_event_loop(), rsloop.run(...), rsloop.install(), and rsloop.uninstall()

Repository metadata currently targets Python >=3.8. The packaged project now supports the core event-loop surface on Linux, macOS, and Windows, including Windows pipe transports and subprocess workflows.

Documentation

Project documentation now lives in docs/.

If you are new to the repository, start with:

To browse the docs locally with MkDocs:

uvx --from mkdocs mkdocs serve

Install

From PyPI:

pip install rsloop

With uv:

uv add rsloop

From conda-forge, using pixi:

pixi add rsloop

Usage

Simple entry point:

import rsloop

async def main():
    ...

rsloop.run(main())

Install as the default asyncio event loop policy:

import asyncio
import rsloop

rsloop.install()
try:
    asyncio.run(main())
finally:
    rsloop.uninstall()

Manual loop creation also works:

import asyncio
import rsloop

loop = rsloop.new_event_loop()
asyncio.set_event_loop(loop)
try:
    loop.run_until_complete(...)
finally:
    asyncio.set_event_loop(None)
    loop.close()

Importing rsloop also patches asyncio.set_event_loop() so Python 3.8 can accept an rsloop.Loop instance, matching the behavior exercised by tests/test_run.py.

Custom Async Rust Extensions

rsloop now exposes a small Rust interop API for downstream PyO3 extensions. That lets you write your own async Rust code, return it to Python as an awaitable, and run it under the active rsloop event loop.

The public entry point is rsloop::rust_async:

get_current_locals(...)
future_into_py(...)
future_into_py_with_locals(...)
local_future_into_py(...)
local_future_into_py_with_locals(...)
re-exports of TaskLocals and into_future_with_locals(...)

See examples/rust/README.md for a complete extension example built with maturin.

Verified Surface Area

The current codebase implements these user-facing areas.

Loop lifecycle and scheduling:

run_forever, run_until_complete, stop, close
time, is_running, is_closed
get_debug, set_debug
call_soon, call_soon_threadsafe, call_later, call_at
returned Handle and TimerHandle objects with cancel() / cancelled()

Tasks, futures, and execution helpers:

create_future, create_task
set_task_factory, get_task_factory
set_exception_handler, get_exception_handler, call_exception_handler, default_exception_handler
set_default_executor, run_in_executor
shutdown_asyncgens, shutdown_default_executor
callback execution under captured contextvars.Context
asyncio.get_running_loop() support while running on rsloop
rsloop.run(...) helper, with asyncio.run(..., loop_factory=...) integration on Python 3.12+

I/O and networking:

add_reader, remove_reader, add_writer, remove_writer
sock_recv, sock_recv_into, sock_sendall, sock_accept, sock_connect
getaddrinfo, getnameinfo
create_server, create_connection
create_unix_server, create_unix_connection
connect_accepted_socket
returned Server objects with close(), is_serving(), get_loop(), and sockets()
returned StreamTransport objects with write(), writelines(), close(), abort(), is_closing(), write_eof(), can_write_eof(), get_extra_info(), get_protocol(), set_protocol(), pause_reading(), resume_reading(), is_reading()

Pipes, subprocesses, and signals:

connect_read_pipe, connect_write_pipe
subprocess_exec, subprocess_shell
returned ProcessTransport and ProcessPipeTransport objects
higher-level compatibility with asyncio.create_subprocess_exec() and asyncio.create_subprocess_shell()
Unix subprocess options including cwd, env, executable, pass_fds, start_new_session, process_group, user, group, extra_groups, umask, and restore_signals
add_signal_handler, remove_signal_handler

Profiling:

profile(...), profiler_running(), start_profiler(), stop_profiler()

Fast Streams

Importing rsloop patches asyncio.open_connection() and asyncio.start_server() by default.

That import-time behavior is controlled by RSLOOP_USE_FAST_STREAMS and can be disabled with:

export RSLOOP_USE_FAST_STREAMS=0

The native fast-stream path is used only when:

the running loop is an rsloop.Loop
ssl is unset or None

Otherwise rsloop falls back to the stdlib asyncio.streams helpers.

The implementation lives in src/fast_streams.rs and is backed by the lower level transport code in src/stream_transport.rs.

Runtime Model

Today the runtime is hybrid rather than fully single-threaded:

the loop coordination thread is always the central scheduler
on Linux, add_reader / add_writer, plain socket reads, and non-TLS socket accept loops use the compio runtime on that thread
some transport paths still fall back to helper threads, especially TLS I/O, TLS server accept, and parts of the legacy transport write path

That means the codebase has started the move toward a single-runtime-thread I/O model, but has not finished eliminating every helper thread yet.

Current Limitations

These gaps are visible in the current implementation.

TLS uses a rustls backend with a narrower compatibility surface than CPython's OpenSSL-backed ssl module. In particular, encrypted private keys are not supported yet, and the fast-stream monkeypatch still falls back to stdlib helpers whenever ssl is enabled. TLS transport internals also still use helper-thread paths instead of the newer runtime-thread compio socket path.
Subprocess support still has one notable gap: preexec_fn remains unsupported because running arbitrary Python between fork() and exec() is unsafe in this runtime model.
Unix-specific APIs remain Unix-specific: create_unix_server, create_unix_connection, add_signal_handler, remove_signal_handler.
Platform-specific limitations still apply: Unix socket APIs and Unix signal handlers remain Unix-only, and several subprocess options such as pass_fds, user, group, and umask are still specific to Unix process spawning.
The transport runtime model is still in transition: plain socket reads and non-TLS accepts now run on the loop runtime thread on Linux, but writes and TLS-heavy paths are not fully collapsed onto that same single-threaded I/O path yet.

Build

Quick check:

cargo check

Release build and editable install:

cargo build --release
uv run --with maturin maturin develop --release

Build release wheels into dist/wheels:

scripts/build-wheels.sh

scripts/build-wheels.sh currently defaults to CPython 3.8 3.9 3.10 3.11 3.12 3.13 3.14 plus free-threaded 3.14t, and uses uv python install / uv python find to locate interpreters.

Profiling

Profiling is behind the Cargo feature profiler and is disabled by default. Build or install with that feature first:

cargo build --release --features profiler
uv run --with maturin maturin develop --release --features profiler

Then wrap the code you want to inspect:

import rsloop

with rsloop.profile():
    rsloop.run(main())

Or manage the session manually:

import rsloop

rsloop.start_profiler()
try:
    rsloop.run(main())
finally:
    rsloop.stop_profiler()

This starts a Tracy client inside the process. Build a release binary, open the Tracy desktop profiler, then connect to the running process while the profiled code is executing.

Release wheels do not include profiler support. Build locally with --features profiler to enable it. The Tracy feature set is aimed at local profiling: enable, only-localhost, and sampling.

For very short-lived runs you can force the process to block on exit until a server has connected and drained all data by setting TRACY_NO_EXIT=1 in the environment.

If the extension was built without --features profiler, profile() and start_profiler() raise a runtime error.

Examples

Run the repository examples from the project root:

uv run python examples/01_basics.py
uv run python examples/02_fd_and_sockets.py
uv run python examples/03_streams.py
uv run python examples/04_unix_and_accepted_socket.py
uv run python examples/05_pipes_signals_subprocesses.py

Example files: examples/01_basics.py, examples/02_fd_and_sockets.py, examples/03_streams.py, examples/04_unix_and_accepted_socket.py, examples/05_pipes_signals_subprocesses.py.

The repository also includes:

demo/fastapi_service.py for running the same FastAPI app on stdlib asyncio, uvloop, or rsloop
benchmarks/compare_event_loops.py for callback, task, and TCP stream comparisons

Benchmark

uv run --with maturin maturin develop --release
uv run --with uvloop python benchmarks/compare_event_loops.py

An example output from that script on macOS (arm64) with CPython 3.14:

callbacks (200,000 ops)
loop           median_s       best_s      ops_per_s     peak_rss   vs_fastest
rsloop         0.033083     0.032710      6,045,401     67.5 MiB        1.00x
uvloop         0.040958     0.040721      4,883,026     72.8 MiB        1.24x
asyncio        0.082233     0.082093      2,432,114     65.3 MiB        2.49x

tasks (50,000 ops)
loop           median_s       best_s      ops_per_s     peak_rss   vs_fastest
rsloop         0.063593     0.063286        786,247     37.6 MiB        1.00x
uvloop         0.069614     0.069420        718,251     38.4 MiB        1.09x
asyncio        0.108114     0.107502        462,473     36.1 MiB        1.70x

tcp_streams (5,000 ops)
loop           median_s       best_s      ops_per_s     peak_rss   vs_fastest
rsloop         0.090940     0.083355         54,981     32.2 MiB        1.00x
uvloop         0.133182     0.127404         37,543     31.5 MiB        1.46x
asyncio        0.302337     0.299813         16,538     29.6 MiB        3.32x

See benchmarks/README.md for workload details and extra flags, and demo/README.md for the FastAPI loop comparison demo.

Acknowledgements

rsloop builds on the Python asyncio model and is implemented with PyO3 on the Rust side. The runtime and I/O work in the current implementation rely in part on compio. On Windows, parts of the runtime also rely on vibeio.

License

This project is licensed under the Apache License, Version 2.0. See LICENSE for the full text.

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SHA256	`6457fe457313822b589ee377f24d366e637850901614e62e0dc06cac4aee5d71`
MD5	`25097d74592c913dcfa984cea5437706`
BLAKE2b-256	`77e21d609c1d6e7a1238c43b90acae1cf9b1928e1ba6b7024022f2d0200c8352`

Algorithm	Hash digest
SHA256	`d967c52c5f35a694d4a5650bb98baffbed8e98905166b6275e625cc6fda711f5`
MD5	`bab92f1bb2c4064e419ee73ddf04cc4c`
BLAKE2b-256	`6274e54e2c45e73617cb064df64782738e494e9f63d3539a12d6f6ae233c6526`

Algorithm	Hash digest
SHA256	`e5d942b8003049a8df8842bb381761edafbaa3eb0d808a6998f9805738447b88`
MD5	`3a72e8b92ab8fbe61d7dce2e56f205ae`
BLAKE2b-256	`f0a9d3cab8b417c019fcaa06f6524b1757ccfef09675915811a2cb1966b8458a`

Algorithm	Hash digest
SHA256	`8809ab83e1090ef41be9f86d83470ac71eb57a430779612c572141e1bd3fa7d3`
MD5	`9a077cde169097029cba9b72babf8633`
BLAKE2b-256	`6c43ead6a1d7db879b4df53081bac09ed1e0614cc1a5ee664333411a20eaf7cf`

Algorithm	Hash digest
SHA256	`a722c0c469b22e23dc7491aa512b0737b07ff09f08ea3bb613bc99f620cb0738`
MD5	`f444fd9b90a58da1c8fa46f013b55142`
BLAKE2b-256	`2f7b7c1bdcf3734a90b8aff8d0262b49f6dc06d5f5819702804012935addf041`

rsloop 0.1.26

An event loop for asyncio written in Rust

Documentation

Install

Usage

Custom Async Rust Extensions

Verified Surface Area

Fast Streams

Runtime Model

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Benchmark

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1 maintainer

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Algorithm	Hash digest
SHA256	`b501e776a0b462a4ef047005a45d2c55033ffbe2871991442b91abf8ec43ef80`
MD5	`d85832bad3692ef13e3c6d56fd4958b9`
BLAKE2b-256	`e4fe1ccb3315daa0770ec99923496292026189f422a3e26258c49813ca69b316`

Algorithm	Hash digest
SHA256	`bb2570f0475bc365ea4d96057d96a26b6547fbafac8b246e7f3ff7186eedaec3`
MD5	`a2265c5767cfa3fe0993e54d6ed961ab`
BLAKE2b-256	`7ef3baf0a5106d6414129f3c117a4b8e6aed3ef2a8dcda2c2138750629c6a928`

Algorithm	Hash digest
SHA256	`01d65e337198c61622d802117ace9c2ecece8ff5a9164e9cf6fde3388fea1866`
MD5	`937e3397430a2d0a2a4aaeda15e2fd46`
BLAKE2b-256	`fd613f298f6c3647a05292e7031f6b6cbe3e011d94424483fecc8d7c21f2eb8e`

Algorithm	Hash digest
SHA256	`78661e6c3065552b4f83d4818f85e65e3bbcd2db2ea8c8d9862b1070e42656f8`
MD5	`de3cc084f214ed40e0b341bfc0cc1592`
BLAKE2b-256	`819836a5ce14693bce8829e38f3cfcc62994531e49d8b998aaae96a388f3e727`

Algorithm	Hash digest
SHA256	`24d8955a333c497a9a230ac764b981929adc4cf0bc419302716a3b90c3f51c09`
MD5	`3959bce42a40be71639bf09afc15e93b`
BLAKE2b-256	`a713ef97e56ec2f2561b9a3d9e9c9db46054ca291917312ad7e68c980b1492a2`

Algorithm	Hash digest
SHA256	`c742f3f90f6ca0bec7691c428e516cd7a8e15dcef9ede11b4a609025a5995c8a`
MD5	`f2b6bffe32c35841786880f53874b486`
BLAKE2b-256	`1eaf56a3341715551f110f8c392bf57e819a4b31866e0b063ee25dec4979576e`

Algorithm	Hash digest
SHA256	`eee821a78dfb5c90999e90ff44f75066ba05b1c16a23de18621a9ffdb12f2465`
MD5	`57b9bf864ccc0d4f8b18f91ea635002b`
BLAKE2b-256	`d0dbbabe5657c0a178384800d8c99a31b1ff41bb13d53b868e8879b62f4126f0`

Algorithm	Hash digest
SHA256	`6589a2a81d194fe5d61858e64b81e141335d87ae0d321f13d90df61e7f006ea7`
MD5	`85acfc324a9d617aa0ceb7e69b1b502d`
BLAKE2b-256	`9a797b4d09363844808af781490769de1c22b665d16a8aa2e9213cd6f97da599`

Algorithm	Hash digest
SHA256	`6645097198d097261619439620a6d5f200f81f01295cd7d184074f45a4681683`
MD5	`441b59b41dd2957f5dc6f5dd296f5a32`
BLAKE2b-256	`62cab28057d55efbfd3613c64ee1a108a7510da80e6afd928b38f2fe40bc33ee`

Algorithm	Hash digest
SHA256	`0cb5a78b2703cbd7b99a5ab513733e15a2bd480d6107bcc539606dc7bd2b4cef`
MD5	`69648c980ac142a1809882e105d0065d`
BLAKE2b-256	`61d50a6ec7b835e5720a4f2073a16eac6bac7d691100f5d594acc8086df52df5`