rarfile
RAR archive reader for Python
Decision gist · record as of 2026-08-14
Yes. rarfile is actively maintained, has no Python dependencies, carries a permissive ISC license, and fills a clear need for RAR archive support in Python. The requirement for an external decompression tool is a known and documented constraint, not a deficiency. Suitable for production use when the external tool dependency is acceptable.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- An external decompression tool (unrar, 7zip, unar, or bsdtar) must be installed on the system; archive parsing and non-compressed file reading work in pure Python, but compressed files require the external tool.
- Low install friction with no runtime dependencies.
- Actively maintained as of 2026-08-13 with recent releases.
License · maintenance · safety
ISC (permissive) — Licensed under ISC (permissive), allowing commercial and private use with minimal restrictions. No copyleft obligations.
last release 2026-08-02 (12 days) · last repo commit 2026-08-13 · 267 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 6,033,515 downloads/mo, #1,980 on PyPI
Alternatives
Verify before relying
pip install rarfile
import rarfile
with rarfile.RarFile('archive.rar') as rf:
rf.extractall()- Whether the package's external tool detection is automatic or requires manual configuration.
- Performance characteristics when handling large multi-volume archives.
- Specific Python 3.10+ compatibility details beyond the stated requirement.
What it is and what it does
rarfile is a Python module that reads RAR archive files following the interface style of the standard zipfile library. It handles both RAR3 and RAR5 formats, multi-volume archives, password-protected files, and Unicode filenames. Archive parsing and non-compressed file access are implemented in pure Python, while compressed file extraction delegates to an external tool such as unrar, 7zip, unar, or bsdtar.
The module is designed for developers who need to programmatically work with RAR archives in Python. It requires an external decompression tool to be installed on the system for extracting compressed content, but provides a straightforward API for reading archive metadata and accessing file contents without requiring additional Python dependencies.
Use it for
- Extract files from RAR archives in a Python application without calling command-line tools directly.
- Read metadata and list contents of multi-volume RAR archives.
- Access password-protected RAR files programmatically with password support.
- Process RAR archives with Unicode filenames across different operating systems.
- Migrate legacy code that works with zip files to also handle RAR format archives.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
rarfile is actively maintained, has no Python dependencies, carries a permissive ISC license, and fills a clear need for RAR archive support in Python. The requirement for an external decompression tool is a known and documented constraint, not a deficiency. Suitable for production use when the external tool dependency is acceptable.
Install
rarfile on PyPI
Before you install
Low install friction with no runtime dependencies. Actively maintained as of 2026-08-13 with recent releases. Requires Python 3.10 or later and an external decompression tool (unrar, 7zip, unar, or bsdtar) to extract compressed files.
An external decompression tool (unrar, 7zip, unar, or bsdtar) must be installed on the system; archive parsing and non-compressed file reading work in pure Python, but compressed files require the external tool.
License in practice
Licensed under ISC (permissive), allowing commercial and private use with minimal restrictions. No copyleft obligations.
Quickstart
pip install rarfile
import rarfile
with rarfile.RarFile('archive.rar') as rf:
rf.extractall()
Verify before relying
- Whether the package's external tool detection is automatic or requires manual configuration.
- Performance characteristics when handling large multi-volume archives.
- Specific Python 3.10+ compatibility details beyond the stated requirement.
Package facts
| License | ISC permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 12 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 6,033,515 / month, #1,980 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 :: ISC License (ISCL)Operating System :: OS IndependentProgramming Language :: Python :: 3Topic :: Software Development :: Libraries :: Python ModulesTopic :: System :: Archiving :: Compression |
Evidence: rarfile-4.5-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 › “rar archive reader python”
- rarfileReads RAR archive files (RAR3 and RAR5 formats) in pure Python, with…
- unrarProvides Python access to RAR archive files through ctypes bindings…
- pyunpackUnpacks archive files in Python with support for multiple formats…
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 unrar · pyunpack · libarchive-c · py7zr · unix-ar · extractcode · zipfile-deflate64 · warc3-wet · arpy · warc3-wet-clueweb09