iterproxy
Give any iterable object capability to use .one(), .one_or_none(), .many(k), .skip(k), .all() API.
Decision gist · record as of 2026-08-14
Yes, if you frequently work with custom iterables and prefer a fluent query API over nested filter() calls or manual slicing. The zero-dependency footprint and permissive license make it low-risk. However, the dormant maintenance status means it will not receive updates for future Python versions; install only if your Python version is already in the supported range (3.7–3.11) and you do not expect the package to evolve.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction installation with no runtime dependencies.
- Package is dormant (last release 2023-11-02, 1016 days ago) but has seen no recent changes to warrant concern; suitable for stable, self-contained use.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you may use, modify, and distribute this package freely with minimal restrictions.
last release 2023-11-02 (1016 days) · last repo commit 2023-11-02 · 1 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 870,817 downloads/mo, #4,847 on PyPI
Alternatives
Verify before relying
from iterproxy import IterProxy
proxy = IterProxy(range(10))
proxy.one() # returns 0
proxy.many(3) # returns [1, 2, 3]
proxy.skip(2).many(2) # returns [6, 7]
proxy.all() # returns [8, 9]- Whether the package is actively maintained or if dormancy signals abandonment risk for future Python versions.
- Performance characteristics when wrapping very large iterables or deeply chained filter operations.
What it is and what it does
IterProxy is a lightweight wrapper that adds ORM-like query methods to any Python iterable. Instead of manually slicing, filtering, and consuming iterators with nested loops or built-in functions, you wrap an iterable in IterProxy and call chainable methods like .one(), .many(k), .skip(k), .all(), and .filter() to retrieve items in a more readable style. It supports both simple and compound filter logic using and_, or_, and not_ operators, and can group items into chunks.
The package has no runtime dependencies and works across Python 3.7 through 3.11. It is useful when you want to add a familiar query-like interface to custom iterables or when refactoring code that currently uses nested filter() calls or manual iteration. The dormant maintenance status (last release November 2023) means it is stable but unlikely to receive updates for new Python versions or features.
Use it for
- Simplify access to query results in custom ORM wrappers or data-fetching functions by replacing manual iteration with .one(), .many(k), or .all().
- Chain multiple filter predicates on an iterable without nesting built-in filter() calls, improving readability.
- Skip and retrieve a fixed number of items from an iterator using .skip(k).many(n) in a single readable expression.
- Group large iterables into fixed-size chunks for batch processing using .iter_chunks(k).
- Add type hints to iterator results by subclassing IterProxy with a generic type parameter for IDE autocomplete.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you frequently work with custom iterables and prefer a fluent query API over nested filter() calls or manual slicing.
The zero-dependency footprint and permissive license make it low-risk. However, the dormant maintenance status means it will not receive updates for future Python versions; install only if your Python version is already in the supported range (3.7–3.11) and you do not expect the package to evolve.
Install
iterproxy on PyPI
Before you install
Low friction installation with no runtime dependencies. Package is dormant (last release 2023-11-02, 1016 days ago) but has seen no recent changes to warrant concern; suitable for stable, self-contained use.
License in practice
MIT license is permissive; you may use, modify, and distribute this package freely with minimal restrictions.
Quickstart
from iterproxy import IterProxy
proxy = IterProxy(range(10))
proxy.one() # returns 0
proxy.many(3) # returns [1, 2, 3]
proxy.skip(2).many(2) # returns [6, 7]
proxy.all() # returns [8, 9]Verify before relying
- Whether the package is actively maintained or if dormancy signals abandonment risk for future Python versions.
- Performance characteristics when wrapping very large iterables or deeply chained filter operations.
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Dormant 1,016 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 870,817 / month, #4,847 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: UnixProgramming Language :: PythonProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: iterproxy-0.3.1-py2.py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “iterator wrapper query methods”
- iterproxyWraps any iterable object to provide ORM-style query methods like…
- sliceratorSlicerator wraps a class's `__getitem__` method to create a…
- iteratorsWraps Python iterators to add timeout behavior, returning a sentinel…
Give your agent the search over MCP, or paste the wish link into any chat.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also pipe · slicerator · lmz · first · django-chunkator · iterable-io · lazy-object-proxy · nr-stream · flupy · proxy_tools