$npx skillfedfor your agent

aioitertools

itertools and builtins for AsyncIO and mixed iterables

Worth itPyPI LibrariesReleased Nov 2025106.6M downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — aioitertools-0.13.0-py3-none-any.whl
v0.13.0 · released 2025-11-06 · Python >=3.9 · 1 runtime deps: typing_extensions

Yes. Low install friction, permissive MIT license, active maintenance, no vulnerabilities, and a narrow, well-defined scope make this a safe dependency for async code that needs familiar iteration patterns. Install if you work with async generators and want to avoid writing custom iteration wrappers.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.9 or newer
  • Low friction: pure Python wheel with a single lightweight dependency (typing_extensions).
  • Active maintenance with recent release; repository shows steady engagement.

License · maintenance · safety

MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; you must retain the license notice in distributions.

last release 2025-11-06 (281 days) · last repo commit 2026-03-01 · 278 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 106,599,820 downloads/mo, #326 on PyPI

Verify before relying

pip install aioitertools

from aioitertools import map, zip, chain

async for value in map(fetch, urls):
    print(value)

async for a, b in zip(iter1, iter2):
    print(a, b)
  • Performance characteristics compared to manual async iteration
  • Whether all itertools functions are implemented or only a subset
Same gist for agents: .md · .json

What it is and what it does

aioitertools shadows the standard library's itertools and builtins modules to provide async-first equivalents. It lets you use familiar functions like map, zip, chain, and islice directly on async generators and coroutines, without wrapping or manual iteration logic. The package accepts both standard iterables and async iterables interchangeably, so you can mix them in the same call.

Typical usage involves importing async versions of functions you already know, then using them in async for loops or with await. It requires Python 3.9 or newer and has only one runtime dependency. The package is maintained actively and carries no known security vulnerabilities.

Use it for

  • Fetch multiple URLs concurrently and process results as they arrive using async map
  • Combine output from multiple async generators into a single stream with chain
  • Zip together async iterables for parallel processing in an async for loop
  • Slice or filter async generator output without materializing the entire sequence
  • Replace manual async iteration boilerplate in mixed-type iteration scenarios

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

Low install friction, permissive MIT license, active maintenance, no vulnerabilities, and a narrow, well-defined scope make this a safe dependency for async code that needs familiar iteration patterns. Install if you work with async generators and want to avoid writing custom iteration wrappers.

Install

aioitertools on PyPI

Before you install

Low friction: pure Python wheel with a single lightweight dependency (typing_extensions). Active maintenance with recent release; repository shows steady engagement.

Requires Python 3.9 or newer

License in practice

MIT license permits commercial and private use with minimal restrictions; you must retain the license notice in distributions.

Quickstart

pip install aioitertools

from aioitertools import map, zip, chain

async for value in map(fetch, urls):
    print(value)

async for a, b in zip(iter1, iter2):
    print(a, b)

Verify before relying

  • Performance characteristics compared to manual async iteration
  • Whether all itertools functions are implemented or only a subset

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.9
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
typing_extensions
MaintenanceActively maintained 281 days since the last release
Last repo commit
First released
Downloads106,599,820 / month, #326 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Framework :: AsyncIOIntended Audience :: DevelopersTopic :: Software Development :: Libraries

Evidence: aioitertools-0.13.0-py3-none-any.whl

Tags

Capabilities
async itertoolsasyncio iteration utilitiesasync generatorsasync map zip chainmixed async iterablesasyncio builtinsasync iteration helpers
Topics
asyncioiteration

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “asyncio iteration utilities”

  • aioitertoolsProvides async-compatible versions of Python's itertools and builtins…
  • aiosqliteaiosqlite provides an async interface to SQLite databases that…
  • aiofileProvides asynchronous file I/O operations for asyncio programs, with…

Give your agent the search over MCP, or paste the wish link into any chat.

More Libraries packages

urllib3 Worth it
PyPI · Libraries · released May 2026

urllib3 is an HTTP client library that provides thread-safe connection pooling, SSL/TLS verification, multipart file uploads, request retries, compression support, and proxy handling for Python applications.

MITpure Python · 3.10+
1.8Bdownloads / mo
requests Worth it
PyPI · Libraries · released May 2026

Requests is a Python HTTP library that simplifies sending HTTP/1.1 requests with automatic handling of headers, authentication, cookies, and response parsing.

Apache-2.0pure Python · 3.10+
1.8Bdownloads / mo
pluggy Worth it
PyPI · Libraries · released May 2025

Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.

Install it if you're building an extensible application or framework.

MITpure Python · 3.9+aging
1.3Bdownloads / mo
python-dateutil Worth it
PyPI · Libraries · released Mar 2024

Provides parsing, arithmetic, and recurrence rule computation for dates and times, with timezone support and iCalendar RFC compliance.

Install it if you need to parse flexible date strings, compute relative dates, handle timezones, or work with recurrence rules—it's the de facto choice for these tasks.

Apache-2.0pure Python
1.2Bdownloads / mo
six With conditions
PyPI · Libraries · released Dec 2024

Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.

MITpure Python
1.2Bdownloads / mo
pytest Worth it
PyPI · Libraries · released Jun 2026

pytest is a testing framework that lets you write test functions using plain assert statements and automatically discovers and runs them, with detailed failure reporting.

MITpure Python · 3.10+
1.1Bdownloads / mo

See also asyncstdlib · asyncstdlib-fw · more-itertools · aiostream · aiomultiprocess · jaraco.itertools · iterators · asyncio-pool · async_generator · ijson