importlib_resources

importlib_resources is the standalone, PyPI-distributed version of the importlib.resources API that ships in the Python standard library, letting projects on older Python versions (or that want the latest API improvements before they land in a stdlib release) read data files bundled inside a package without manually computing filesystem paths. Its files() function returns a Traversable object that works uniformly whether the package is installed as a regular directory or packed inside a zip/wheel.

The codebase is explicitly shared with CPython itself — changes here are the upstream source that later gets vendored into the standard library’s importlib.resources module — so the PyPI package effectively lets you use tomorrow’s stdlib resource-reading API today, with as_file() providing a context-managed real filesystem path when a library you’re calling needs an actual path rather than a file-like object.

What You Get

• files(package) returning a Traversable for navigating a package’s bundled resource files regardless of whether it’s installed as a directory or a zip/wheel
• as_file(traversable) as a context manager that guarantees a real filesystem path, extracting to a temp location if the package is zipped
• Legacy functional API (read_text, read_binary, open_text, open_binary, contents, is_resource) for compatibility with older importlib.resources call patterns
• An abc.py module defining the ResourceReader/TraversableResources abstract interfaces that custom loaders can implement
• Direct interoperability with the stdlib: this codebase is the literal source that later gets vendored into CPython’s own importlib.resources

Common Use Cases

• Reading a bundled config, template, or data file from inside a package on Python versions predating the current stdlib importlib.resources feature set
• Getting a real filesystem path to a packaged resource (via as_file) to hand to a third-party API that requires an actual path, not a file object
• Iterating over all resource files bundled with a package using the Traversable interface, without caring whether the package is a directory or a zip
• Backporting a project’s resource-loading code to support older Python versions while still using the modern files()-based API

Under The Hood

Architecture - _common.py implements the core files()/as_file() entrypoints on top of readers.py’s concrete Traversable implementations for different package storage backends (regular directories vs. zip-packed wheels), _adapters.py bridges old-style ResourceReader loaders into the new Traversable interface, and _functional.py layers the legacy read_text/open_binary-style API on top of the same core for backward compatibility. Tech Stack - Pure Python with a single conditional dependency (zipp on Python < 3.10 for zip-file Traversable support), built with setuptools_scm for version derivation and the jaraco/skeleton project template shared across the Jason Coombs/jaraco ecosystem of stdlib-adjacent backport packages. Code Quality - 12 test files exercise both the modern Traversable/as_file API and the legacy functional wrappers across directory and zip-based packages, with mypy.ini/ruff.toml configured for static analysis and towncrier used for changelog management. API Design - The API is deliberately kept identical to (and is the literal source of) the stdlib’s importlib.resources, so anyone who has read Python’s own documentation for that module already knows this API; the split between the modern Traversable-based interface and the legacy functional calls is clearly delineated in __init__.py’s exports.