iterators
Iterator utility classes and functions
Decision gist · record as of 2026-08-14
Yes, if you need simple timeout semantics on synchronous iterators and can tolerate dormant maintenance. The package has no dependencies, low install friction, and a permissive license. However, verify that the timeout mechanism meets your concurrency and performance requirements before relying on it in production—the project has not been actively maintained since early 2023.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.6 or later.
- Low install friction with no runtime dependencies.
- Package is dormant—last release was 2023-01-23 with no commits since 2024-07-31—so expect no active maintenance or bug fixes.
License · maintenance · safety
permissive license (permissive) — MIT license (permissive) means you can use, modify, and distribute this package freely with minimal restrictions.
last release 2023-01-23 (1299 days) · last repo commit 2024-07-31 · 10 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 721,807 downloads/mo, #5,229 on PyPI
Alternatives
Verify before relying
from iterators import TimeoutIterator
def iter_with_sleep():
yield 1
yield 2
i = iter_with_sleep()
it = TimeoutIterator(i, timeout=0.5)
print(next(it))
print(next(it))- Whether TimeoutIterator works correctly with generators that yield at unpredictable intervals or with very short timeout windows.
- Whether the timeout mechanism is thread-safe or suitable for concurrent iteration scenarios.
- Performance overhead of wrapping iterators, especially for high-frequency iteration patterns.
What it is and what it does
TimeoutIterator is a wrapper class that adds timeout semantics to any Python iterator. When you wrap an iterator with TimeoutIterator and call next() on it, the wrapper will wait for the underlying iterator to yield a value, but only up to a specified timeout duration. If the timeout expires before a value arrives, TimeoutIterator returns a sentinel object instead of blocking indefinitely or raising an exception.
The package supports both fixed timeouts (set once at construction) and dynamic timeout adjustment via set_timeout(). When a timeout occurs, iteration continues—the next call to next() will attempt to retrieve the next value from the underlying iterator with the current timeout setting. This is useful for scenarios where you're iterating over slow or potentially stalled sources and need to enforce a deadline without terminating the entire iteration.
Use it for
- Wrap a generator that fetches data from a slow source to enforce per-item timeout and skip items that take too long.
- Protect against runaway generators in a data pipeline by returning a sentinel when iteration stalls beyond a threshold.
- Dynamically adjust timeout thresholds during iteration based on observed latency or changing system conditions.
- Iterate over file handles or network streams with a deadline, gracefully handling slow or hung sources.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need simple timeout semantics on synchronous iterators and can tolerate dormant maintenance.
The package has no dependencies, low install friction, and a permissive license. However, verify that the timeout mechanism meets your concurrency and performance requirements before relying on it in production—the project has not been actively maintained since early 2023.
Install
iterators on PyPI
Before you install
Low install friction with no runtime dependencies. Package is dormant—last release was 2023-01-23 with no commits since 2024-07-31—so expect no active maintenance or bug fixes.
Requires Python 3.6 or later.
License in practice
MIT license (permissive) means you can use, modify, and distribute this package freely with minimal restrictions.
Quickstart
from iterators import TimeoutIterator
def iter_with_sleep():
yield 1
yield 2
i = iter_with_sleep()
it = TimeoutIterator(i, timeout=0.5)
print(next(it))
print(next(it))Verify before relying
- Whether TimeoutIterator works correctly with generators that yield at unpredictable intervals or with very short timeout windows.
- Whether the timeout mechanism is thread-safe or suitable for concurrent iteration scenarios.
- Performance overhead of wrapping iterators, especially for high-frequency iteration patterns.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Dormant 1,299 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 721,807 / month, #5,229 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Topic :: Software Development :: Libraries :: Python Modules |
Evidence: iterators-0.2.0-py3-none-any.whl
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See also timeout-decorator · jaraco.itertools · waiter · scandir · pytest-timeouts · aioitertools · async-timeout · stopit · freezegun · sentinel