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redo

Utilities to retry Python callables.

Worth itPyPI Application FrameworksReleased Jul 20241.0M downloads / moMPL-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — redo-3.0.0-py2.py3-none-any.whl
v3.0.0 · released 2024-07-17

Yes. Redo is a mature, dependency-free utility with active maintenance, no known vulnerabilities, and broad Python version support. It solves a common problem (retrying transient failures) with multiple clean integration patterns. The MPL-2.0 copyleft license is permissive for most use cases. Install it if you need retry logic and prefer a focused, lightweight tool over building your own.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Low install friction with no runtime dependencies.
  • Actively maintained as of 2026-08-04 with a recent release in 2024-07-17, supporting Python 3.8 through 3.12.

License · maintenance · safety

MPL-2.0 (copyleft) — Licensed under MPL-2.0 (copyleft). You must disclose source code modifications and distribute under the same license if you modify and redistribute the package, but can use it in proprietary applications without disclosing your own code.

last release 2024-07-17 (758 days) · last repo commit 2026-08-04 · 101 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,005,604 downloads/mo, #4,528 on PyPI

Verify before relying

pip install redo

from redo import retry

def unstable_action():
    # raises Exception on failure
    pass

result = retry(unstable_action, attempts=5, sleeptime=1, jitter=0)
  • Whether the package is actively maintained beyond the last commit date of 2026-08-04
  • Performance characteristics when handling high-frequency retries or very large numbers of attempts
Same gist for agents: .md · .json

What it is and what it does

Redo is a retry utility library that wraps Python functions to automatically retry them on failure with configurable backoff strategies. It offers multiple integration points: plain functions (retry, retry_async), decorators (retriable, retriable_async), and a context manager (retrying) so you can choose the pattern that fits your codebase. Each retry attempt can be separated by a sleep interval that grows exponentially with optional random jitter to avoid thundering herd problems.

The package handles both synchronous and asynchronous callables, lets you specify which exceptions trigger a retry versus which should fail immediately, and supports optional cleanup functions between attempts. It has no runtime dependencies and supports Python 3.8 through 3.12, making it lightweight to add to existing projects.

Use it for

  • Wrap unreliable network requests with automatic retry and exponential backoff to handle transient failures gracefully.
  • Decorate database operations that may fail due to temporary locks or connection issues, with configurable sleep between attempts.
  • Use as a context manager around a block of code that needs retry logic without modifying the function definition itself.
  • Retry async/await functions in concurrent applications with sleep callbacks tuned to your workload.
  • Add retry capability to CLI tools or scripts that interact with flaky external services or resources.

Worth the install?

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

Worth it

Yes.

Redo is a mature, dependency-free utility with active maintenance, no known vulnerabilities, and broad Python version support. It solves a common problem (retrying transient failures) with multiple clean integration patterns. The MPL-2.0 copyleft license is permissive for most use cases. Install it if you need retry logic and prefer a focused, lightweight tool over building your own.

Install

redo on PyPI

Before you install

Low install friction with no runtime dependencies. Actively maintained as of 2026-08-04 with a recent release in 2024-07-17, supporting Python 3.8 through 3.12.

License in practice

Licensed under MPL-2.0 (copyleft). You must disclose source code modifications and distribute under the same license if you modify and redistribute the package, but can use it in proprietary applications without disclosing your own code.

Quickstart

pip install redo

from redo import retry

def unstable_action():
    # raises Exception on failure
    pass

result = retry(unstable_action, attempts=5, sleeptime=1, jitter=0)

Verify before relying

  • Whether the package is actively maintained beyond the last commit date of 2026-08-04
  • Performance characteristics when handling high-frequency retries or very large numbers of attempts

Package facts

LicenseMPL-2.0 copyleft
Python supportNot specified
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceActively maintained 758 days since the last release
Last repo commit
First released
Downloads1,005,604 / month, #4,528 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9

Evidence: redo-3.0.0-py2.py3-none-any.whl

Tags

Capabilities
retry decorator pythonexponential backoff retryasync retry functionautomatic retry with backoffpython retry utilitiesretry context managerconfigurable retry attempts
Topics
retry-logicasync-supporterror-handling

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See also reretry · retry · retry2 · retrying · timeout-sampler · python-retry · python-backoff · backoff · waiter · mo-kwargs