retry

Install

retry on PyPI

pip install retry

uv add retry

poetry add retry

Package facts

Evidence: retry-0.9.2-py2.py3-none-any.whl

About retry

from the package's own PyPI description — quoted content, verbatim

$ pip install retry

def retry(exceptions=Exception, tries=-1, delay=0, max_delay=None, backoff=1, jitter=0, logger=logging_logger):
    """Return a retry decorator.

    :param exceptions: an exception or a tuple of exceptions to catch. default: Exception.
    :param tries: the maximum number of attempts. default: -1 (infinite).
    :param delay: initial delay between attempts. default: 0.
    :param max_delay: the maximum value of delay. default: None (no limit).
    :param backoff: multiplier applied to delay between...

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

A decorator and function wrapper for implementing automatic retry logic with configurable delays, backoff strategies, and exception handling.

Low friction install with just two lightweight runtime dependencies (decorator and py). However, the package is dormant—last release was 2016-05-11, over a decade ago, though the repository remains active with a recent commit on 2024-07-05.

Licensed under Apache License 2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions.

pip install retry

from retry import retry

@retry(ValueError, tries=3, delay=1)
def my_function():
    pass

my_function()

Verdict: A stable, lightweight retry decorator suitable for straightforward retry patterns. No known vulnerabilities and permissive licensing are strengths. The long dormancy since 2016-05-11 and lack of recent releases raise questions about modern compatibility, though the simple codebase and recent repository activity suggest it may still work. Best for projects with minimal retry needs where the decorator pattern fits naturally.

Needs verification

• Whether the package actually supports Python versions beyond 3.4 despite classifier listing
• Whether recent commits represent active maintenance or just repository preservation
• Real-world compatibility with current versions of decorator and py dependencies

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