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 · Programming-language package registry
Measure the R ecosystem's package breadth, release activity, dependencies, and available tooling when evaluating analytics/data-product integrations or R developer demand. Strong for founders targeting R/data-science developers, analytics teams, statistical computing, and package-based integrations.
Put it to work
Measure the R ecosystem's package breadth, release activity, dependencies, and available tooling when evaluating analytics/data-product integrations or R developer demand. Strong for founders targeting R/data-science developers, analytics teams, statistical computing, and package-based integrations.
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: Measure the R ecosystem's package breadth, release activity, dependencies, and available tooling when evaluating analytics/data-product integrations or R developer demand.
Source type: Programming-language package registry
Access and cost
Public web/FTP-style repository and mirror browsing/download; package pages and indexes are publicly readable. Package-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.
Before you use it
CRAN is an R package ecosystem rather than a general developer survey; mirror contents are intended to be identical, but package quality, maintenance, and licenses vary by package.