sampleproject
A sample Python project
Decision gist · record as of 2026-08-14
Yes, if you are learning Python packaging or need a reference implementation to study. No, if you need production functionality—this is an educational example, not a utility. Install it to examine its source code and structure, not to use its runtime behavior.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- Low install friction with a single lightweight runtime dependency (peppercorn).
- Maintenance is dormant—no releases for 646 days—but the repository remains active with recent commits and substantial community interest (5245 stars), suggesting it serves as a stable reference rather than an actively developed tool.
License · maintenance · safety
permissive license (permissive) — MIT license (permissive) allows unrestricted use, modification, and distribution with minimal restrictions, making it suitable for learning and reference without licensing concerns.
last release 2024-11-06 (646 days) · last repo commit 2024-11-06 · 5,245 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 501,696 downloads/mo, #6,313 on PyPI
Alternatives
Verify before relying
pip install sampleproject
import peppercorn
# Review the package source to understand structure- What concrete functionality the peppercorn dependency provides in this context.
- Whether this is intended for direct use or primarily as a reference for understanding packaging patterns.
- What runnable example code or functionality the package itself exposes.
What it is and what it does
Sampleproject is a reference implementation created by the Python Packaging Authority to accompany their official packaging tutorial. It demonstrates how to structure a Python project, configure metadata in pyproject.toml, and prepare a package for distribution on PyPI. The package itself is minimal and educational—it exists primarily to show correct packaging patterns rather than to provide production functionality.
The project depends on peppercorn and supports Python 3.9 through 3.13. It is classified as Alpha-stage software and is intended for developers learning how to package and distribute their own Python projects. The repository remains active with recent commits, making it a stable reference point, though releases have been infrequent (dormant status with 646 days since the last release).
Use it for
- Learning how to structure a Python project and configure pyproject.toml for distribution.
- Understanding the correct layout and metadata requirements for publishing to PyPI.
- Using as a template or starting point when creating your own first Python package.
- Reviewing best practices for package metadata, classifiers, and project configuration.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are learning Python packaging or need a reference implementation to study.
No, if you need production functionality—this is an educational example, not a utility. Install it to examine its source code and structure, not to use its runtime behavior.
Install
sampleproject on PyPI
Before you install
Low install friction with a single lightweight runtime dependency (peppercorn). Maintenance is dormant—no releases for 646 days—but the repository remains active with recent commits and substantial community interest (5245 stars), suggesting it serves as a stable reference rather than an actively developed tool.
Requires Python 3.9 or later.
License in practice
MIT license (permissive) allows unrestricted use, modification, and distribution with minimal restrictions, making it suitable for learning and reference without licensing concerns.
Quickstart
pip install sampleproject
import peppercorn
# Review the package source to understand structure
Verify before relying
- What concrete functionality the peppercorn dependency provides in this context.
- Whether this is intended for direct use or primarily as a reference for understanding packaging patterns.
- What runnable example code or functionality the package itself exposes.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagepeppercorn |
| Maintenance | Dormant 646 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 501,696 / month, #6,313 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Topic :: Software Development :: Build Tools |
Evidence: sampleproject-4.0.0-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 packaging example”
- sampleprojectA minimal reference implementation demonstrating Python package…
- pip-hello-worldA minimal test package demonstrating setuptools installation;…
- wheelA command-line tool for inspecting, converting, and modifying Python…
Give your agent the search over MCP, or paste the wish link into any chat.
More Build Tools packages
Provides reusable utilities for Python packaging interoperability, including version handling, specifiers, markers, requirements, tags, and metadata parsing according to standards like PEP 440 and PEP 425.
Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.
pip is the standard installer for Python packages, enabling you to download and install packages from the Python Package Index and other indexes into your Python environment.
Hatchling is a standards-compliant Python build backend that handles packaging, metadata, and distribution of Python projects when configured in a project's pyproject.toml file.
Generates Python gRPC service stubs and message classes from Protocol Buffer definitions, enabling developers to build gRPC clients and servers.
pre-commit is a framework for installing and running git hooks written in any language before commits are made, automating code quality and validation checks across multi-language projects.
Install it if your team needs consistent, automated validation at commit time.
See also pip-hello-world · pyroma · validate-pyproject · setuptools · flit · pyproject-parser · distribute · jupyter-packaging · PyScaffold