aiostream provides a collection of stream operators that can be combined to create asynchronous pipelines of operations.

It can be seen as an asynchronous version of itertools, although some aspects are slightly different. Essentially, all the provided operators return a unified interface called a stream. A stream is an enhanced asynchronous iterable providing the following features:

  • Operator pipe-lining - using pipe symbol |
  • Repeatability - every iteration creates a different iterator
  • Safe iteration context - using async with and the stream method
  • Simplified execution - get the last element from a stream using await
  • Slicing and indexing - using square brackets []
  • Concatenation - using addition symbol +


The stream operators rely heavily on asynchronous generators (PEP 525):

  • python >= 3.6

Stream operators

The stream operators are separated in 7 categories:

creation iterate, preserve, just, call, empty, throw, never, repeat, count, range
transformation map, enumerate, starmap, cycle, chunks
selection take, takelast, skip, skiplast, getitem, filter, until, takewhile, dropwhile
combination map, zip, merge, chain, ziplatest
aggregation accumulate, reduce, list
advanced concat, flatten, switch, concatmap, flatmap, switchmap
timing spaceout, timeout, delay
miscellaneous action, print


The following example demonstrates most of the streams capabilities:

import asyncio
from aiostream import stream, pipe

async def main():
    # Create a counting stream with a 0.2 seconds interval
    xs = stream.count(interval=0.2)

    # Operators can be piped using '|'
    ys = xs | x: x**2)

    # Streams can be sliced
    zs = ys[1:10:2]

    # Use a stream context for proper resource management
    async with as streamer:
        # Asynchronous iteration
        async for z in streamer:
            # Print 1, 9, 25, 49 and 81
            print("->", z)

    # Streams can be awaited and return the last value
    print("9² = ", await zs)

    # Streams can run several times
    print("9² = ", await zs)

    # Streams can be concatenated
    one_two_three = stream.just(1) + stream.range(2, 4)

    # Print [1, 2, 3]
    print(await stream.list(one_two_three))

# Run main coroutine
loop = asyncio.get_event_loop()

More examples are available in the example section.


This library is inspired by:

  • PEP 525: Asynchronous Generators
  • Rx - Reactive Extensions
  • aioreactive - Async/await reactive tools for Python 3.5+
  • itertools - Functions creating iterators for efficient looping