rsloop 0.1.1

An event loop for asyncio written in Rust

rsloop: An event loop for asyncio written in Rust

rsloop is a PyO3-based asyncio event loop. Each rsloop.Loop still owns a dedicated Rust runtime thread for timers, readiness polling, signal watchers, and transport coordination, but Python callbacks, tasks, and coroutines are driven on the thread that calls run_forever() / run_until_complete() (typically the main thread). The package exposes a Python module at rsloop._loop plus a small Python wrapper in python/rsloop/__init__.py.

The project metadata currently targets Python >=3.8.

Current Surface Area

Today’s codebase provides:

• rsloop.Loop, rsloop.new_event_loop(), and rsloop.run(...)
• loop lifecycle:
  • run_forever
  • run_until_complete
  • stop
  • close
  • time
  • is_running
  • is_closed
  • debug flag getters/setters
• callback scheduling:
  • call_soon
  • call_soon_threadsafe
  • call_later
  • call_at
  • returned Handle and TimerHandle objects
• future/task helpers:
  • create_future
  • create_task
  • set_task_factory / get_task_factory
  • exception handler storage and dispatch
  • set_default_executor
  • run_in_executor
  • shutdown_asyncgens
  • shutdown_default_executor
• callback execution inside captured contextvars.Context
• asyncio.get_running_loop() support for coroutines driven by rsloop
• asyncio.run(..., loop_factory=rsloop.new_event_loop) support on Python 3.12+
• Unix fd readiness callbacks via add_reader / remove_reader / add_writer / remove_writer
• raw socket awaitables:
  • sock_recv
  • sock_recv_into
  • sock_sendall
  • sock_accept
  • sock_connect
• DNS awaitables:
  • getaddrinfo
  • getnameinfo
• stream transports and servers:
  • create_server
  • create_connection
  • create_unix_server
  • create_unix_connection
  • connect_accepted_socket
  • returned Server and StreamTransport objects
  • transport.close() / transport.abort() fully close socket transports
• pipe transports:
  • connect_read_pipe
  • connect_write_pipe
• subprocess transports:
  • subprocess_exec
  • subprocess_shell
  • returned ProcessTransport and ProcessPipeTransport objects
  • higher-level asyncio.create_subprocess_exec()
  • higher-level asyncio.create_subprocess_shell()
  • low-level support for cwd, env, executable, pass_fds, start_new_session, process_group, user, group, extra_groups, umask, and restore_signals
• Unix signal handlers via add_signal_handler / remove_signal_handler
• a free-threaded module declaration via #[pymodule(gil_used = false)]
• profiler entry points:
  • profile
  • profiler_running
  • start_profiler
  • stop_profiler

Fast Streams

Importing rsloop patches asyncio.open_connection() and asyncio.start_server() by default. That import-time patch is controlled by RSLOOP_USE_FAST_STREAMS and can be disabled with:

export RSLOOP_USE_FAST_STREAMS=0

The patched helpers only take the native rsloop fast-stream path when:

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

Otherwise they fall back to the stdlib asyncio stream helpers. The fast stream implementation lives in Rust in src/fast_streams.rs, while the lower level transport implementation lives in src/stream_transport.rs.

Current Gaps

• TLS is not implemented:
  • start_tls() is stubbed
  • ssl=... is rejected for create_server, create_connection, create_unix_server, create_unix_connection, and connect_accepted_socket
• stream transport flow control is still partial:
  • pause_reading() / resume_reading() work
  • get_write_buffer_size() returns 0
  • get_write_buffer_limits() returns (0, 0)
  • set_write_buffer_limits() is a no-op
• subprocess support is intentionally incomplete:
  • preexec_fn is unsupported
  • text mode is rejected for higher-level asyncio.create_subprocess_exec() / asyncio.create_subprocess_shell() because the stdlib stream protocol is byte-oriented
  • low-level loop.subprocess_exec() / loop.subprocess_shell() do support text decoding when used with a custom subprocess protocol
• Unix-only APIs remain Unix-only:
  • create_unix_server
  • create_unix_connection
  • add_signal_handler / remove_signal_handler

Build

Quick check:

cargo check

Release build and editable install:

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

Build release wheels for CPython 3.8 through 3.14, plus the free-threaded 3.14 build, into dist/wheels:

scripts/build-wheels.sh

Publishing

PyPI releases are published from Git tags that start with v, for example v0.1.0. The GitHub Actions workflow builds wheels by calling scripts/build-wheels.sh, builds an sdist, and then publishes the combined artifacts to PyPI with GitHub trusted publishing.

Before the first release, configure the rsloop project on PyPI as a trusted publisher for this repository/workflow.

Use a release build for benchmarks and runtime comparisons. A debug extension will make the Rust loop look much slower than it really is.

Profiling

Profiling support is behind the Cargo feature profiler and is disabled by default. Build/install a release extension with that feature enabled first:

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

Then wrap the workload you want to inspect:

import rsloop

with rsloop.profile("rsloop-flamegraph.svg", frequency=999):
    rsloop.run(main())

You can also manage the session manually:

import rsloop

rsloop.start_profiler(frequency=999)
try:
    rsloop.run(main())
finally:
    rsloop.stop_profiler("rsloop-flamegraph.svg")

This writes an SVG flamegraph that you can open directly in a browser. Run the profile against a release build or the stack samples will be dominated by debug overhead. If the extension was built without --features profiler, start_profiler() and profile() will raise a runtime error.

Usage

Simple entry point:

import rsloop

async def main():
    ...

rsloop.run(main())

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()

Examples

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

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 comparing callback, task, and TCP stream workloads

Benchmark

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

See benchmarks/README.md for workload details and extra benchmark flags.