GitHub Innovation Graph
Study trends in public GitHub activity across included economies at an aggregate level.
Coverage: Economies included in the dataset · Quarterly economy-level aggregates from 2020 onward
Developer ecosystems · Python package registry and open-source distribution metadata
Create Python ecosystem intelligence for an SDK or data product: identify fast-moving libraries, inspect supported Python versions and dependencies, and trigger release/catalog monitoring for integration opportunities. Direct fit for Python developer-tool founders, data/ML infrastructure products, SDK vendors, and package-security or dependency-management SaaS.
Put it to work
Create Python ecosystem intelligence for an SDK or data product: identify fast-moving libraries, inspect supported Python versions and dependencies, and trigger release/catalog monitoring for integration opportunities. Direct fit for Python developer-tool founders, data/ML infrastructure products, SDK vendors, and package-security or dependency-management SaaS.
Use the available ecosystem signals to shortlist a language, platform or integration for further research. Validate adoption signals with conversations about the problem your product solves.
What it covers
Geography: Use the geography stated by the source; coverage can vary by dataset and release.
Granularity: Create Python ecosystem intelligence for an SDK or data product: identify fast-moving libraries, inspect supported Python versions and dependencies, and trigger release/catalog monitoring for integration opportunities.
Source type: Python package registry and open-source distribution metadata
Access and cost
Public JSON API: GET /pypi/<project>/json returns latest-project metadata, all releases, and project URLs; the official docs also point to the Index API for distributions/versions.
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.
Before you use it
Do not treat the JSON API's downloads field as usage: the official documentation says it is always -1; use another validated telemetry source for download counts.; PyPI is a global public index, but the cited API documentation gives no country-by-country coverage or geographic representativeness; it covers projects indexed by PyPI.; The JSON API returns metadata for the latest version plus all releases at query time; the docs explicitly say the downloads key is always -1 and should not be used as a download metric.