PurpleAir
The R client for PurpleAir sensors keeps finding its time-averaging was wrong.
Comparison · Analytics
bbk vs glmbayes
A side-by-side editorial comparison of bbk and glmbayes — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
bbk vs glmbayes: at a glance
What is bbk?
One R interface is absorbing the world's central bank data portals, one API at a time.
bbk began as a Bundesbank client and has become a single R interface to central bank statistics generally: the ECB, BIS, and the national banks of Switzerland, Canada, the UK, France, Spain, Austria, Sweden, Norway, Portugal, Japan, Poland, the Czech Republic, and now Brazil and Mexico. Each provider gets a consistent set of verbs — a data function, a dimension function for the dataflow structure, and provider-specific extras like PRIBOR or CZEONIA fixings. Response caching, data.table returns, and an updated_after argument for incremental retrieval are shared plumbing rather than per-provider features.
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.
bbk vs glmbayes: editorial side-by-side
bbk
0.0ANALYTICS
One R interface is absorbing the world's central bank data portals, one API at a time.
◆ Current state
bbk began as a Bundesbank client and has become a single R interface to central bank statistics generally: the ECB, BIS, and the national banks of Switzerland, Canada, the UK, France, Spain, Austria, Sweden, Norway, Portugal, Japan, Poland, the Czech Republic, and now Brazil and Mexico. Each provider gets a consistent set of verbs — a data function, a dimension function for the dataflow structure, and provider-specific extras like PRIBOR or CZEONIA fixings. Response caching, data.table returns, and an updated_after argument for incremental retrieval are shared plumbing rather than per-provider features.
◆ Where it's heading
The expansion is steady and the integration work is what makes it more than a list of wrappers: arguments introduced for one provider get pushed to the others, dimension introspection is being generalised across dataflows, and the bug fixes in recent releases are almost all about the same class of problem — series with missing observations, unsupported frequency codes, or date/value misalignment breaking a parser written for a tidier feed. The maintainer ships the same infrastructure across their packages in lockstep; bbk 0.9.0 and the sibling treasury package's 0.5.0 landed identical opt-in caching within minutes of each other. Geography is the visible frontier, but consistency across an increasingly ragged set of upstream APIs is the actual work.
◆ Prediction
Expect more national central banks to be added on the same template, and the newer providers to be retrofitted with the dimension and updated_after functions the older ones already have.
glmbayes
6.3ANALYTICS
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.
Alternatives to bbk and glmbayes
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 bbk or glmbayes.
piecepackr
A board game graphics package runs one of the most disciplined deprecation cycles in R.
e2tree
The explainable-ensemble-tree package now measures whether its own explanations are faithful.
discretefdr
The discrete-data FDR package is being pared into one piece of a larger multiple-testing suite.
contentanalysis
A scientific-text analysis package moved from counting citations to classifying argument structure.
relialearnr
The teaching arm of an R reliability suite keeps pace with whatever its analysis siblings ship.
See all bbk alternatives → · See all glmbayes alternatives →
Recent activity from bbk and glmbayes
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 10d agoglmbayesBack on CRAN after a configure policy fix
- 22d agoglmbayesOpenCL split out to nmathopencl; insight and bayestestR integration ⚡
- 1mo agobbkBrazil and Mexico join, bringing survey expectations data ⚡
- 1mo agoglmbayesMulti-response models and conjugate GLM priors
- 2mo agobbkCzech National Bank support lands with a broad parser repair
- 3mo agoglmbayesOpenCL kernels restructured and a binomial GPU bug fixed
- 3mo agobbkIncremental retrieval generalised beyond the ECB endpoint
- 3mo agoglmbayesVersion bump for CRAN resubmission
- 4mo agobbkOpt-in response caching plus dimension introspection everywhere
- 10mo agobbkBank of Canada data and exchange rates added
- 11mo agobbkFour European central banks added; validation moves to checkmate
- 1y agoglmbayesCRAN-ready beta with the core S3 interface
Frequently asked questions
What is the difference between bbk and glmbayes?
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 bbk better than glmbayes?
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 bbk?
Top bbk alternatives in Analytics are ranked by recent ship velocity. Browse the "bbk alternatives" section above for the current picks, or visit /alternatives/bbk for the full list with editorial commentary on each.
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.