packaging
Core utilities for Python packages
This package has a good security score with no known vulnerabilities.
Community Reviews
Rock-solid utility for version parsing with excellent security hygiene
From a security perspective, this is exemplary. Input validation is robust without being brittle—malformed version strings raise clear InvalidVersion exceptions rather than crashing or producing undefined behavior. The library has no network dependencies, no file I/O beyond basic operations, and no cryptographic operations to misconfigure. It's pure Python string parsing and comparison logic, which minimizes attack surface. The maintainers have a solid CVE response track record, and the library is designed to handle untrusted input safely.
Day-to-day, I primarily use Version() for comparing package versions and SpecifierSet() for dependency resolution. The exceptions are informative without leaking sensitive data, and the library handles edge cases in PEP 440 version specifiers correctly. It's a model of what a focused, security-conscious utility library should be.
Best for: Any project that needs to parse, validate, or compare Python package versions and dependency specifiers safely.
Avoid if: You need non-Python package versioning schemes (e.g., semantic versioning with different rules).
Rock-solid utility for version parsing and dependency management
From a security perspective, this library is low-risk by design. It's pure Python with no external dependencies, minimizing supply chain exposure. The parsing logic handles malformed input gracefully without exposing stack traces that leak internals. I've thrown all kinds of malicious version strings at it during fuzzing exercises and it fails safely with clear ValueError exceptions.
The error messages are excellent for validation—when users provide invalid version strings, the exceptions are clear enough to show directly to end users. It's maintained by the PyPA, has a strong CVE response history, and follows secure-by-default principles by not making network calls or performing any I/O operations. It's purely computational parsing and validation.
Best for: Any project that needs to parse, validate, or compare Python package versions and dependency specifications securely.
Avoid if: You need to parse version schemes from non-Python ecosystems (use language-specific parsers instead).
Lightweight, battle-tested version parsing with minimal overhead
The Version class handles PEP 440 version parsing reliably and the SpecifierSet API makes requirements checking straightforward. Error handling is reasonable—invalid version strings raise InvalidVersion with clear messages, though you'll need to wrap calls yourself for production logging. No retry logic needed since everything is synchronous parsing with no I/O.
One gotcha: the API has changed between major versions (pre-20.x vs current), particularly around markers and requirements parsing. If you're maintaining long-lived services, pin your version. There are no connection pools, timeouts, or observability hooks because this is fundamentally a parsing library, not a service client. It does one thing well: interpreting Python package metadata without the baggage of pip or setuptools internals.
Best for: Services that need to parse, compare, or validate Python package versions and requirement specifiers without pulling in heavyweight packaging tools.
Avoid if: You need full package installation or build capabilities—use pip or build tools instead.
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