pipe
Module enabling a sh like infix syntax (using pipes)
Decision gist · record as of 2026-08-14
Yes, if you value readable, functional-style data pipelines and work frequently with iterables. The library is stable, has no dependencies, and installs easily. However, maintenance is aging (last release April 2024, no recent commits), so consider it for stable use cases rather than as a foundation for mission-critical infrastructure. Not worth installing if you prefer standard Python idioms (list comprehensions, itertools) or need active development support.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later.
- Low install friction; pure Python wheel with no runtime dependencies.
- Maintenance status is aging—last release was 2024-04-04 and the repository shows no recent activity, though it remains archived=false and the package is marked Production/Stable.
License · maintenance · safety
MIT License (permissive) — MIT License (permissive) means you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2024-04-04 (862 days) · last repo commit 2025-03-23 · 2,106 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 111,231 downloads/mo, #12,425 on PyPI
Alternatives
Verify before relying
from pipe import where, take_while
from itertools import count
result = sum(count() | where(lambda x: x % 2 == 0) | take_while(lambda x: x < 100))- Whether the package is actively maintained or in maintenance-only mode (last commit 2025-03-23 but no recent releases).
- Performance characteristics when chaining many pipes or working with very large iterables.
- Compatibility with third-party libraries that may override or conflict with the `|` operator.
What it is and what it does
Pipe is a Python library that brings shell-like infix syntax to iterable operations by overloading the `|` operator. Instead of nested function calls, you write transformations in a left-to-right pipeline: `data | filter_fn | map_fn | take(n)`. Each pipe operation is lazy-evaluated, meaning computation happens only when needed, and pipes can be aliased and partially initialized for reuse.
The library provides a collection of composable operations—select (map), where (filter), take, skip, groupby, dedup, transpose, traverse, and many others—that work on any iterable. It's useful for data processing tasks where readability and functional composition matter more than raw performance, and it integrates naturally with Python's itertools and generator patterns.
Use it for
- Process sequences of data with readable, left-to-right transformations instead of nested function calls or list comprehensions.
- Solve algorithmic problems (like Project Euler) by chaining filters and transformations on infinite generators.
- Debug multi-stage data pipelines by inserting the `tee` pipe to inspect intermediate values without breaking the chain.
- Build reusable, aliased pipes for common filtering or transformation patterns in data processing workflows.
- Flatten or traverse nested iterables recursively using the `traverse` pipe for complex data structures.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you value readable, functional-style data pipelines and work frequently with iterables.
The library is stable, has no dependencies, and installs easily. However, maintenance is aging (last release April 2024, no recent commits), so consider it for stable use cases rather than as a foundation for mission-critical infrastructure. Not worth installing if you prefer standard Python idioms (list comprehensions, itertools) or need active development support.
Install
pipe on PyPI
Before you install
Low install friction; pure Python wheel with no runtime dependencies. Maintenance status is aging—last release was 2024-04-04 and the repository shows no recent activity, though it remains archived=false and the package is marked Production/Stable.
Requires Python 3.8 or later.
License in practice
MIT License (permissive) means you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
from pipe import where, take_while
from itertools import count
result = sum(count() | where(lambda x: x % 2 == 0) | take_while(lambda x: x < 100))Verify before relying
- Whether the package is actively maintained or in maintenance-only mode (last commit 2025-03-23 but no recent releases).
- Performance characteristics when chaining many pipes or working with very large iterables.
- Compatibility with third-party libraries that may override or conflict with the `|` operator.
Package facts
| License | MIT License permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 862 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 111,231 / month, #12,425 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Topic :: Software DevelopmentTopic :: Software Development :: Libraries :: Python Modules |
Evidence: pipe-2.2-py3-none-any.whl
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