trove-classifiers

This package is essentially a data repository with a simple API for validating and listing PyPI trove classifiers. The learning curve is practically non-existent - you import it, call `classifiers` to get the full list, or use simple functions to check validity. I've used it in CI pipelines and packaging tools to ensure setup.py/pyproject.toml classifiers are legitimate before publishing.

The package does exactly what it claims with zero surprises. Documentation is minimal because the API surface is tiny: basically just accessing a list of strings and maybe using `all_classifiers()` or checking membership. Error handling is straightforward since you're mostly checking if strings exist in a set. The main gotcha is remembering this is updated regularly, so your CI needs to use a reasonably recent version to catch newly added classifiers.

Community support isn't really needed because there's nothing complex to troubleshoot. The GitHub issues are mainly about adding new classifiers rather than bugs. For what it does - providing the canonical list of valid PyPI classifiers - it's reliable and maintenance-free in your projects.

This is essentially a versioned data package containing the canonical list of PyPI trove classifiers. In production, it's completely transparent - zero runtime overhead, no network calls, no connection pools to manage. You import it, call `classifiers` to get a frozenset, and validate against it. That's it.

The package updates regularly (weekly releases) to stay in sync with PyPI's classifier list. This is both good and bad - you get the latest classifiers, but your dependency resolver will constantly pull new versions during deploys if you're not pinning. In practice, this means your lock files change frequently even when nothing meaningful has changed for your use case. The package itself has no dependencies and is pure Python, so at least updates are fast and safe.

For operational concerns, there's literally nothing to tune or configure. No timeouts, no retries, no logging hooks - because it's just static data. Perfect for build-time validation in CI/CD pipelines where you want deterministic, fast checks without any external service dependencies.

trove-classifiers is fundamentally a data package providing the canonical list of PyPI classifiers (like 'Programming Language :: Python :: 3.8'). The API is extremely simple: import it and access the classifiers set. There's no complex functionality here—it's literally just a maintained list that gets updated with new Python versions and framework classifications.

The developer experience is bare-bones. You get a single `classifiers` set object and a `deprecated_classifiers` dict. No type hints, no autocompletion beyond what your IDE can infer from runtime inspection, and minimal documentation beyond a basic README. Error handling is non-existent because there's nothing to error on—you're just accessing data structures. The package does its job (providing canonical classifier strings), but offers no helpers for validation, fuzzy matching, or discovery of appropriate classifiers.

For most developers, you'll interact with this indirectly through tools like poetry or setuptools rather than importing it directly. When you do need it directly (like building packaging tooling), expect to write your own convenience layers around the raw data.