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glmbayes vs worldbank

A side-by-side editorial comparison of glmbayes and worldbank — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

glmbayes vs worldbank: at a glance

Featureglmbayesworldbank
SectorAnalyticsAnalytics
Velocity score6.30.0
Sparks · 30d10
Top themesbayesian-statistics, generalized-linear-models, opencl, r-packageworld-bank, development-data, r-package, api-wrapper
Last editorial update1h ago45m ago
WebsiteVisit →Visit →

What is glmbayes?

A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain

glmbayes fits Bayesian generalized linear models with optional OpenCL acceleration. The last four months moved it from a package with its own vocabulary to one that answers the insight and bayestestR generics the rest of the R Bayesian ecosystem is built on, while pushing the OpenCL kernels out into a separate nmathopencl dependency that carries CRAN Windows binaries. It returned to CRAN in August after an archival over a configure policy issue.

Read the full glmbayes trajectory →

What is worldbank?

A World Bank data wrapper that keeps finding the places its own API can't reach.

worldbank provides R access to the World Bank's public data: World Development Indicators, the Poverty and Inequality Platform, project records, and the Finances One datasets. It settled its type contract early — always a data.frame, never a conditional tibble — and has since layered on opt-in request caching, multi-indicator queries, and query conveniences like most-recent-values and gap filling. The most recent addition sidesteps the API entirely, pulling the full WDI archive as a zip.

Read the full worldbank trajectory →

glmbayes vs worldbank: editorial side-by-side

G
glmbayes
ANALYTICS
6.3

A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain

◆ Current state

glmbayes fits Bayesian generalized linear models with optional OpenCL acceleration. The last four months moved it from a package with its own vocabulary to one that answers the insight and bayestestR generics the rest of the R Bayesian ecosystem is built on, while pushing the OpenCL kernels out into a separate nmathopencl dependency that carries CRAN Windows binaries. It returned to CRAN in August after an archival over a configure policy issue.

◆ Where it's heading

The arc is about removing reasons not to use it. GPU support was previously blocked on Windows because the OpenCL kernels were vendored; splitting them into a CRAN package with binaries fixed that. The ecosystem work does the same thing for tooling — a glmb fit now responds to get_parameters, get_priors, simulate_prior and check_prior, so it drops into workflows built around easystats rather than requiring its own. The CRAN archival and the configure fixes that followed show how much of the effort goes into distribution rather than modelling.

◆ Prediction

get_priors() returning the full prior specification rather than a marginal table is the kind of detail that invites further bayestestR integration, and the diagnostic surface is the least built-out part of what has shipped so far.

W
worldbank
ANALYTICS
0.0

A World Bank data wrapper that keeps finding the places its own API can't reach.

◆ Current state

worldbank provides R access to the World Bank's public data: World Development Indicators, the Poverty and Inequality Platform, project records, and the Finances One datasets. It settled its type contract early — always a data.frame, never a conditional tibble — and has since layered on opt-in request caching, multi-indicator queries, and query conveniences like most-recent-values and gap filling. The most recent addition sidesteps the API entirely, pulling the full WDI archive as a zip.

◆ Where it's heading

Two threads run through the log. The first is query ergonomics: multiple indicators per call, mrv and gapfill parameters, regex search across the indicator catalog, a shorter wb_data() name that has since become the primary entry point. The second is coverage of things the standard API handles poorly — bulk download reaches footnote and series-time metadata the endpoints never expose, and PIP nowcasts and project records extend past the indicator tables most users start with. The maintainer runs the same infrastructure across their other data packages, and the caching design here is identical to what bbk and treasury received.

◆ Prediction

Expect the remaining rough edges of the World Bank's own API — inconsistent empty responses, metadata only available in bulk files — to keep driving releases, rather than a push into new data providers.

Alternatives to glmbayes and worldbank

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either glmbayes or worldbank.

See all glmbayes alternatives → · See all worldbank alternatives →

Recent activity from glmbayes and worldbank

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 10d agoglmbayesBack on CRAN after a configure policy fix
  2. 22d agoglmbayesOpenCL split out to nmathopencl; insight and bayestestR integration
  3. 1mo agoworldbankEmpty queries return an empty frame instead of erroring
  4. 1mo agoglmbayesMulti-response models and conjugate GLM priors
  5. 3mo agoglmbayesOpenCL kernels restructured and a binomial GPU bug fixed
  6. 3mo agoglmbayesVersion bump for CRAN resubmission
  7. 3mo agoworldbankBulk WDI download reaches metadata the API never exposes
  8. 5mo agoworldbankMost-recent-values and gap filling, plus project records
  9. 8mo agoworldbankTest suite stops caching queries for CRAN compliance
  10. 9mo agoworldbankOpt-in request caching with a one-day default
  11. 1y agoglmbayesCRAN-ready beta with the core S3 interface
  12. 1y agoworldbankwb_data() added as an alias for wb_country_indicator()

Frequently asked questions

What is the difference between glmbayes and worldbank?

Both compete on the same themes — r-package — within Analytics. glmbayes is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is glmbayes better than worldbank?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. glmbayes is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to glmbayes?

Top glmbayes alternatives in Analytics are ranked by recent ship velocity. Browse the "glmbayes alternatives" section above for the current picks, or visit /alternatives/glmbayes for the full list with editorial commentary on each.

What are the best alternatives to worldbank?

Top worldbank alternatives in Analytics are ranked by recent ship velocity. Browse the "worldbank alternatives" section above for the current picks, or visit /alternatives/worldbank for the full list with editorial commentary on each.