handy-archives
Some handy archive helpers for Python.
Decision gist · record as of 2026-08-14
Yes, if you frequently work with archives and want to reduce boilerplate around standard library archiving. The zero-dependency design, permissive license, and active maintenance make it low-risk. However, verify that its specific helpers match your use case—the excerpt does not detail what operations it provides beyond standard tools.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction to install; no runtime dependencies.
- Actively maintained with recent commits, though last release was over a year ago.
License · maintenance · safety
permissive license (permissive) — MIT license (permissive); you can use, modify, and distribute this package with minimal restrictions.
last release 2023-07-31 (1110 days) · last repo commit 2026-07-08
0 known vulnerabilities (OSV.dev, 2026-08-14) · 810,670 downloads/mo, #5,006 on PyPI
Alternatives
Verify before relying
$ python -m pip install handy-archives
import handy_archives
# Use archive helper functions as documented- What specific archive operations the package provides beyond standard library shutil (e.g., streaming, filtering, format conversion).
- Whether the package offers performance improvements or convenience wrappers over native Python archive tools.
What it is and what it does
handy-archives is a lightweight utility library that provides helper functions for working with archive files in Python. It wraps and extends the standard library's archiving capabilities for ZIP, TAR, and related formats, reducing boilerplate when performing common archive operations. The package has no runtime dependencies, making it quick to install and integrate into existing projects.
The library is actively maintained and supports Python 3.6 through 3.11, including both CPython and PyPy. It's classified as Beta-stage software and includes type hints for better IDE support and code clarity.
Use it for
- Simplify ZIP and TAR file creation and extraction in data processing pipelines.
- Reduce boilerplate when archiving directories or file collections in build or deployment scripts.
- Add convenience wrappers around shutil archive operations in utility modules or CLI tools.
- Handle archive operations with better error handling or additional features than the standard library alone.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you frequently work with archives and want to reduce boilerplate around standard library archiving.
The zero-dependency design, permissive license, and active maintenance make it low-risk. However, verify that its specific helpers match your use case—the excerpt does not detail what operations it provides beyond standard tools.
Install
handy-archives on PyPI
Before you install
Low friction to install; no runtime dependencies. Actively maintained with recent commits, though last release was over a year ago.
License in practice
MIT license (permissive); you can use, modify, and distribute this package with minimal restrictions.
Quickstart
$ python -m pip install handy-archives
import handy_archives
# Use archive helper functions as documentedVerify before relying
- What specific archive operations the package provides beyond standard library shutil (e.g., streaming, filtering, format conversion).
- Whether the package offers performance improvements or convenience wrappers over native Python archive tools.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.6.1 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 1,110 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 810,670 / month, #5,006 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 LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Software Development :: Libraries :: Python ModulesTopic :: System :: ArchivingTopic :: System :: Archiving :: CompressionTyping :: Typed |
Evidence: handy_archives-0.2.0-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 › “archive utilities python”
- handy-archivesProvides utility functions for working with archive files (ZIP, TAR,…
- pyunpackUnpacks archive files in Python with support for multiple formats…
- rpmfileInspect and extract files from RPM archive files using a Python API…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also cabarchive · sphinx-toolbox · extension-helpers · deprecation-alias · domdf-python-tools · jupyter-archive · patool · pyunpack · zip-files · savepagenow