---
id: asyncache
version: "0.3.1"
license: MIT
license_treatment: permissive
maintenance: abandoned
---

# asyncache — Helpers to use cachetools with async code.

License: permissive · Maintenance: abandoned · Downloads: 1.3M/mo

## What it is and what it does

asyncache bridges cachetools and asyncio by providing a @cached decorator that works with async functions. It lets you apply caching strategies—TTL, LRU, and others from cachetools—to the results of coroutines, so repeated calls with the same arguments return cached values instead of re-running the async work.

The package is a thin wrapper around cachetools, adding asyncio compatibility. It is straightforward to use but has been abandoned since late 2022, meaning no active maintenance, no response to issues, and no updates for future Python versions. It works with Python 3.8, 3.9, 3.10, and declares support for current versions, but real-world compatibility with newer releases is unverified.

Use it for:

- Cache results of database queries in async web applications to reduce repeated I/O.
- Memoize expensive async API calls with automatic expiration using TTL caching.
- Reduce load on external services by caching async HTTP responses with size or time limits.
- Speed up async data processing pipelines by avoiding redundant computations on repeated inputs.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides decorator-based caching for async functions using cachetools strategies like TTL and LRU, allowing you to cache the results of async operations with configurable eviction policies.

Yes, if your codebase is stable on Python 3.8–3.10 and you need simple async caching without active maintenance. The package is small, well-scoped, and has no known vulnerabilities. No, if you require ongoing support, compatibility with future Python versions, or expect to file bugs—the maintainer is not active. Consider it a stable utility for existing projects, not a foundation for new ones.

## Install

pip install asyncache
uv add asyncache
poetry add asyncache

## Installing asyncache

Before you install: Low friction install with a single dependency on cachetools. However, the package is abandoned—last release was 1368 days ago with no recent maintenance activity, so it will not receive bug fixes or updates for newer Python versions beyond those already declared.

License in practice: MIT license is permissive and poses no restrictions on use, modification, or distribution in commercial or private projects.

Quickstart:

pip install asyncache

from asyncache import cached
from cachetools import TTLCache

@cached(TTLCache(1024, 60))
async def get_data(key):
    # async operation here
    return result

Requires Python 3.8 or later; the package is not actively maintained.

Verify before relying:

- Whether the package remains compatible with Python versions released after 2022-11-15 despite declaring support for current versions.
- Whether asyncio semantics or cachetools API changes since last release affect real-world usage.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: abandoned
- Downloads: 1.3M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

async function caching, cache decorator asyncio, ttl cache async, cachetools asyncio, async result memoization, asyncio, caching, abandoned

[View on SkillFed](https://skillfed.io/packages/asyncache) · [View on PyPI](https://pypi.org/project/asyncache/)