timeout-sampler
Timeout utility class to wait for any function output and interact with it in given time
Decision gist · record as of 2026-08-14
Yes, if you need polling with selective exception handling and timeout-based retry logic. The active maintenance and permissive license are favorable. However, verify whether pytest is a true runtime dependency—if it is, the high install friction may be a concern for lightweight deployments. The minimal community visibility (0 stars) suggests limited real-world validation, so evaluate it in a test environment first.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.10
- High install friction due to two runtime dependencies (pytest and python-simple-logger).
- Active maintenance with a recent release (24 days ago), though the project has minimal community visibility (0 stars).
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-07-21 (24 days) · last repo commit 2026-08-13
0 known vulnerabilities (OSV.dev, 2026-08-14) · 184,964 downloads/mo, #10,022 on PyPI
Alternatives
Verify before relying
from timeout_sampler import TimeoutSampler
for sample in TimeoutSampler(
wait_timeout=60,
sleep=1,
func=my_function,
arg1=value1,
):
if sample:
break- Whether pytest is truly required at runtime or only for testing (listed as runtime dependency but typically test-only)
- Performance characteristics when polling high-frequency or long-running functions
- Behavior and overhead of sensitive-key redaction in logging
What it is and what it does
TimeoutSampler is a polling utility that repeatedly calls a function at fixed intervals until it returns a truthy value or a timeout expires. It wraps the function call in a loop, sleeping between attempts, and can be configured to ignore or retry on specific exception types—either all instances of an exception class or only those matching string patterns or callable filters. The package includes a decorator form (@retry) for wrapping functions directly.
The primary use case is waiting for external conditions (SSH connectivity, service availability, async task completion) with fine-grained control over which exceptions should trigger retries versus immediate failure. It logs outcomes (success, failure, timeout) with elapsed time and optional custom labels, and automatically redacts sensitive kwargs like Authorization headers from logs.
Use it for
- Wait for a service to become available before proceeding with integration tests or deployment scripts
- Retry API calls with selective exception handling (e.g., retry on 5xx errors but fail immediately on 4xx)
- Poll for completion of long-running background tasks with a timeout and custom logging
- Decorate functions to add automatic retry logic with timeout and exception filtering
- Wait for SSH or network connectivity with detailed logging of connection attempts
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need polling with selective exception handling and timeout-based retry logic.
The active maintenance and permissive license are favorable. However, verify whether pytest is a true runtime dependency—if it is, the high install friction may be a concern for lightweight deployments. The minimal community visibility (0 stars) suggests limited real-world validation, so evaluate it in a test environment first.
Install
timeout-sampler on PyPI
Before you install
High install friction due to two runtime dependencies (pytest and python-simple-logger). Active maintenance with a recent release (24 days ago), though the project has minimal community visibility (0 stars).
Requires Python >=3.10
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
from timeout_sampler import TimeoutSampler
for sample in TimeoutSampler(
wait_timeout=60,
sleep=1,
func=my_function,
arg1=value1,
):
if sample:
breakVerify before relying
- Whether pytest is truly required at runtime or only for testing (listed as runtime dependency but typically test-only)
- Performance characteristics when polling high-frequency or long-running functions
- Behavior and overhead of sensitive-key redaction in logging
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | High. Source build required |
| Runtime dependencies | 2 packagespytestpython-simple-logger |
| Maintenance | Actively maintained 24 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 184,964 / month, #10,022 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Operating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: timeout_sampler-1.1.2.tar.gz
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See also inputimeout · polling2 · waiter · retry · python-timeout · reretry · redo · func-timeout · retry2 · waiting