typed-concurrency
View typed-concurrency on PyPI
Typed structured concurrency with Go-ish ergonomics on top of asyncio.
uv add typed-concurrency
from typed_concurrency import Channel, Group, go, process, thread
Python 3.11 or newer is required. There are no dependencies beyond
typed-errs, which supplies the explicit
Option value used when a channel closes.
Tasks and groups
go() is deliberately boring: it creates an asyncio.Task[T] without losing
the coroutine's result type.
user = go(fetch_user())
config = go(fetch_config())
# Other async work happens here.
name: str = await user
settings: Config = await config
Group is a compact wrapper around asyncio.TaskGroup; it keeps the standard
structured-concurrency cancellation and exception behaviour.
async with Group() as group:
users = group.go(fetch_users())
config = group.go(fetch_config())
# Both tasks have completed here.
print(users.result())
print(config.result())
When a result is intentionally irrelevant, << makes that clear:
async with Group() as group:
group << report_progress()
group << refresh_cache()
Channels
Channel[T] is a buffered async queue with close semantics. recv() and
await channel return Option[T]: queued values are Some(value), and a
closed, drained channel returns Nothing(). This avoids a nullable receive
protocol while keeping normal closure distinct from an error.
from typed_concurrency import Channel
from typed_errs import Some
channel = Channel[int](16)
await channel.send(42)
received = await channel.recv()
if isinstance(received, Some):
print(received.value)
await channel.close()
Channels are async iterable, which is usually the pleasant producer/consumer form:
async def producer(channel: Channel[int]) -> None:
for value in range(10):
await channel.send(value)
await channel.close()
async def consumer(channel: Channel[int]) -> None:
async for value in channel:
print(value)
async with Group() as group:
channel = Channel[int](10)
group << producer(channel)
group << consumer(channel)
await (channel << value) sends and await channel receives; they are sugar
over send() and recv(). The named methods are the canonical API.
capacity=0 follows asyncio.Queue and means an unbounded buffer. It is not a
Go-style rendezvous channel.
Blocking and CPU work
thread() runs a blocking callable using asyncio.to_thread(). process()
runs pickle-compatible CPU-bound work in a shared process pool.
data = await thread(read_file, path)
result = await process(expensive_parse, data)
Use process() only for substantial CPU work: process startup and argument
serialization have a real cost.
Examples and development
Run the small end-to-end example with uv run python examples/basic.py.
Run mise run check for formatting-adjacent linting, type checks, tests, and a
package build.
License
MIT
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