pypyp
Easily run Python at the shell! Magical, but never mysterious.
Decision gist · record as of 2026-08-14
Yes, if you regularly write one-liners at the shell and want to avoid boilerplate imports and explicit print statements. The low install friction, permissive license, and lack of known vulnerabilities make it safe to try. The aging maintenance status (595 days since last release) is a minor concern for a stable utility, but the active repository and solid user base suggest it remains reliable for its narrow, well-defined purpose.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or above; pyp is primarily a shell command-line tool, not a library for direct Python import.
- Low friction: pure Python wheel with a single runtime dependency (astunparse).
- Maintenance is aging—last release was 595 days ago—but the repository remains active and unarchived with a modest user base (1528 stars).
License · maintenance · safety
permissive license (permissive) — MIT license (permissive) means you can use, modify, and redistribute pypyp with minimal restrictions, making it safe for both personal and commercial projects.
last release 2024-12-27 (595 days) · last repo commit 2026-01-04 · 1,528 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 108,435 downloads/mo, #12,558 on PyPI
Alternatives
Verify before relying
pip install pypyp
# In shell:
echo -e "hello\nworld" | pyp 'x.upper()'
# In Python (less common):
import subprocess
result = subprocess.run(['pyp', 'x.upper()'], input=b'hello\n', capture_output=True)
print(result.stdout.decode())- Whether the --explain output is guaranteed to be runnable Python or merely illustrative
- Performance characteristics when processing very large input streams
- Compatibility with all standard library modules beyond those explicitly mentioned
What it is and what it does
pyp is a command-line tool that lets you run Python code directly from the shell without boilerplate. You write a Python expression or snippet, and pyp statically analyzes it to infer what you need: it detects undefined variables like `x` (current line), `lines` (all lines), `stdin`, or `i` (loop index), automatically imports any modules you reference, and executes the code with those bindings in place. The result is printed intelligently—dicts and iterables format nicely, and the last expression prints automatically unless it's None or you explicitly call print yourself.
It's designed to replace common shell utilities: `ls | pyp 'x[:3]'` acts like cut, `cat file | pyp 'sum(map(int, lines))'` acts like awk, and `cat data.json | pyp 'json.load(stdin)[0]'` acts like jq. You can also use `--explain` to see the generated Python script before running it, chain multiple pyp invocations, or configure a custom config file (via PYP_CONFIG_PATH) to predefine functions and imports for your own use cases.
Use it for
- Extract or transform text line-by-line: `ls | pyp 'x.upper()'` or `cat file | pyp 'x.split()[2]'`
- Aggregate or filter input: `cat data | pyp 'sum(map(int, lines))'` or `cat words | pyp 'x if "python" in x else None'`
- Process structured data: `curl api | pyp 'json.load(stdin)[0]["key"]'` or `cat file.csv | pyp 'len(lines)'`
- Add line numbers or indices: `cat file | pyp 'f"{idx+1}: {x}"'`
- Understand generated code before execution: `pyp --explain 'complex_expression'` to inspect the AST transformation
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you regularly write one-liners at the shell and want to avoid boilerplate imports and explicit print statements.
The low install friction, permissive license, and lack of known vulnerabilities make it safe to try. The aging maintenance status (595 days since last release) is a minor concern for a stable utility, but the active repository and solid user base suggest it remains reliable for its narrow, well-defined purpose.
Install
pypyp on PyPI
Before you install
Low friction: pure Python wheel with a single runtime dependency (astunparse). Maintenance is aging—last release was 595 days ago—but the repository remains active and unarchived with a modest user base (1528 stars).
Requires Python 3.8 or above; pyp is primarily a shell command-line tool, not a library for direct Python import.
License in practice
MIT license (permissive) means you can use, modify, and redistribute pypyp with minimal restrictions, making it safe for both personal and commercial projects.
Quickstart
pip install pypyp
# In shell:
echo -e "hello\nworld" | pyp 'x.upper()'
# In Python (less common):
import subprocess
result = subprocess.run(['pyp', 'x.upper()'], input=b'hello\n', capture_output=True)
print(result.stdout.decode())
Verify before relying
- Whether the --explain output is guaranteed to be runnable Python or merely illustrative
- Performance characteristics when processing very large input streams
- Compatibility with all standard library modules beyond those explicitly mentioned
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageastunparse |
| Maintenance | Aging 595 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 108,435 / month, #12,558 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Environment :: ConsoleIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Topic :: Software DevelopmentTopic :: Utilities |
Evidence: pypyp-1.3.0-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 › “python one-liners shell”
- pypyppyp lets you write Python expressions and scripts directly at the…
- shyamlCommand-line tool for querying and extracting data from YAML files…
- nietA command-line tool that extracts and transforms data from YAML,…
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 bash · setproctitle · plumbum · piper · subprocess.run · pipe · subprocrunner · ptyprocess · pprintpp · runs