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Comparison · Analytics

bbk vs rempsyc

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

Shared themes:r-package

bbk vs rempsyc: at a glance

Featurebbkrempsyc
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescentral-bank-data, macro-statistics, r-package, api-wrapperapa-formatting, psychology-research, statistical-tables, ggplot2
Last editorial update5h ago1h ago
WebsiteVisit →Visit →

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.

Read the full bbk trajectory →

What is rempsyc?

Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.

rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.

Read the full rempsyc trajectory →

bbk vs rempsyc: editorial side-by-side

B
bbk
ANALYTICS
0.0

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.

R
rempsyc
ANALYTICS
0.0

Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.

◆ Current state

rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.

◆ Where it's heading

Two forces drive this package and neither is its own roadmap. The first is APA style: when the 7th edition advised against beta for standardized coefficients, the package switched its output to italic b with an asterisk. The second is the surrounding ecosystem — formatting is aligned to what lavaanExtra and afex produce, contrast handling was delegated to easystats' modelbased, and Excel correlation matrix export was handed entirely to the correlation package to cut maintenance.

◆ Prediction

The pattern of delegating functionality to specialist packages while keeping the formatting layer is well established and likely continues. Because releases bundle many small dev versions, the next one will probably again mix plotting refinements with fixes surfaced by upstream changes.

Alternatives to bbk and rempsyc

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 rempsyc.

See all bbk alternatives → · See all rempsyc alternatives →

Recent activity from bbk and rempsyc

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

  1. 1mo agobbkBrazil and Mexico join, bringing survey expectations data
  2. 2mo agobbkCzech National Bank support lands with a broad parser repair
  3. 3mo agobbkIncremental retrieval generalised beyond the ECB endpoint
  4. 4mo agobbkOpt-in response caching plus dimension introspection everywhere
  5. 10mo agobbkBank of Canada data and exchange rates added
  6. 11mo agorempsycPoint labels and per-group correlations added to nice_scatter
  7. 11mo agobbkFour European central banks added; validation moves to checkmate
  8. 1y agorempsycExcel correlation export delegated to the correlation package
  9. 2y agorempsycTable spacing control and a fix for name collision with afex
  10. 2y agorempsycStandardized coefficients switch to APA 7th edition b* notation
  11. 2y agorempsycLegend and standardization-check fixes
  12. 2y agorempsycnice_table starts coercing model objects automatically

Frequently asked questions

What is the difference between bbk and rempsyc?

Both compete on the same themes — r-package — within Analytics. bbk and rempsyc are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is bbk better than rempsyc?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bbk and rempsyc are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). 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 rempsyc?

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