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J·BJon BishopIndependent growth marketer

Developer ecosystems · Programming-language package registry and API

MetaCPAN: coverage and access

Analyze Perl module supply, versions, documentation, dependencies, and ecosystem/search demand; power a Perl-focused catalog or developer intelligence workflow through API queries. Useful for developer-tool and data-product founders serving Perl-heavy enterprise, infrastructure, or legacy-system environments.

What it covers

Geography and granularity

Geography: Use the geography stated by the source; coverage can vary by dataset and release.

Granularity: Analyze Perl module supply, versions, documentation, dependencies, and ecosystem/search demand; power a Perl-focused catalog or developer intelligence workflow through API queries.

Source type: Programming-language package registry and API

Potential use

Analyze Perl module supply, versions, documentation, dependencies, and ecosystem/search demand; power a Perl-focused catalog or developer intelligence workflow through API queries. Useful for developer-tool and data-product founders serving Perl-heavy enterprise, infrastructure, or legacy-system environments.

Access and cost

Public source

Public web interface plus API at https://api.metacpan.org/; the official About page describes using the API to build custom searches. Module-specific terms apply.

Cost: Current price was not established in this review; check the provider's access terms.

Update cadence: Release cadence was not normalized in this review; check the source's dates, update notes, and API limits before comparing periods.

Interpret carefully

Limits that affect the decision

MetaCPAN is a community front end/mirror and the underlying modules have heterogeneous maintainers, freshness, and licenses; it is not a representative survey of all Perl usage.

Release cadence was not normalized in this review; check the source's dates, update notes, and API limits before comparing periods.

This record summarizes source documentation; Jon Bishop did not conduct an independent audit of the underlying dataset.

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