---
id: backoff
version: "2.2.1"
license: MIT
license_treatment: permissive
maintenance: abandoned
---

# backoff — Function decoration for backoff and retry

License: permissive · Maintenance: abandoned · Popularity: top 1,000 on PyPI

## Install

pip install backoff
uv add backoff
poetry add backoff

## Description

backoff
=======

.. image:: https://travis-ci.org/litl/backoff.svg
    :target: https://travis-ci.org/litl/backoff
.. image:: https://coveralls.io/repos/litl/backoff/badge.svg
    :target: https://coveralls.io/r/litl/backoff?branch=python-3
.. image:: https://github.com/litl/backoff/workflows/CodeQL/badge.svg
    :target: https://github.com/litl/backoff/actions/workflows/codeql-analysis.yml
.. image:: https://img.shields.io/pypi/v/backoff.svg
    :target: https://pypi.python.org/pypi/backoff
.. image:: https://img.shields.io/github/license/litl/backoff
    :target: https://github.com/litl/backoff/blob/master/LICENSE

**Function decoration for backoff and retry**

This module provides function decorators which can be used to wrap a
function such that it will be retried until some condition is met. It
is meant to be of use when accessing unreliable resources with the
potential for intermittent failures i.e. network resources and external
APIs. Somewhat more generally, it may also be of use for dynamically
polling resources for externally generated content.

Decorators support both regular functions for synchronous code and
`asyncio...

## AI interpretation — verify before relying

Provides decorators to automatically retry functions with configurable backoff strategies (exponential, fibonacci, constant) when exceptions occur or predicates are met, supporting both synchronous and asynchronous code.

Verdict: Backoff is a stable, well-established retry library with zero security vulnerabilities and permissive licensing, making it safe to adopt for existing projects. Its abandonment since October 2022 poses minimal risk for stable use cases but means no new features or fixes will arrive; consider it only if its current feature set fully meets your needs.

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