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Comparison · Analytics

qualtRics vs RBesT

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

qualtRics vs RBesT: at a glance

FeaturequaltRicsRBesT
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessurvey-data, api-client, qualtrics, ropenscibayesian-statistics, clinical-trials, stan, r-language
Last editorial update1h ago42m ago
WebsiteVisit →Visit →

What is qualtRics?

qualtRics moved its contact functions onto XM Directory days before the old endpoints died.

qualtRics is the R client for the Qualtrics v3 API — fetching survey responses, definitions, distributions, and contact lists into tidy data frames. Version 3.3.0 migrated all_mailinglists() and fetch_mailinglist() from the deprecated Research Core Contacts endpoints to XM Directory, ahead of Qualtrics retiring the old ones on June 30, 2026. Authentication and directory discovery are handled automatically, but the new endpoints return a different data shape, so column names changed. Before that, releases had been steady maintenance for two years, mostly around how survey response archives are unpacked.

Read the full qualtRics trajectory →

What is RBesT?

RBesT is teaching its Bayesian decision rules to answer two-sided questions.

RBesT builds meta-analytic-predictive priors — the machinery for borrowing historical control data into a new trial — and evaluates the operating characteristics of decisions made with them. The stable line has spent several releases on effective sample size: ESS for normal mixtures via a new `family` argument, boundary corrections when no responses or no non-responses are observed, and stabilised ELIR computations. The 1.9-0 release candidate extends the normal, binomial and Poisson outcome functions to two-sided decisions.

Read the full RBesT trajectory →

qualtRics vs RBesT: editorial side-by-side

Q
qualtRics
ANALYTICS
0.0

qualtRics moved its contact functions onto XM Directory days before the old endpoints died.

◆ Current state

qualtRics is the R client for the Qualtrics v3 API — fetching survey responses, definitions, distributions, and contact lists into tidy data frames. Version 3.3.0 migrated all_mailinglists() and fetch_mailinglist() from the deprecated Research Core Contacts endpoints to XM Directory, ahead of Qualtrics retiring the old ones on June 30, 2026. Authentication and directory discovery are handled automatically, but the new endpoints return a different data shape, so column names changed. Before that, releases had been steady maintenance for two years, mostly around how survey response archives are unpacked.

◆ Where it's heading

This package's roadmap is set by Qualtrics, not by its maintainers, and the release history reads as a sequence of accommodations — endpoint changes, retired APIs, and edge cases in exported files. The team's own recurring theme is reducing surprise: caching was removed from fetch_survey() in 3.2.0 so results are never stale, error handling was standardized on retry semantics, and column mappings were made inspectable via extract_colmap(). Feature additions, when they come, are new endpoints wrapped rather than new abstractions.

◆ Prediction

With the Contacts migration complete, the next likely work is bringing the remaining Research Core-era functions onto XM Directory equivalents before Qualtrics retires more of the old surface.

R
RBesT
ANALYTICS
0.0

RBesT is teaching its Bayesian decision rules to answer two-sided questions.

◆ Current state

RBesT builds meta-analytic-predictive priors — the machinery for borrowing historical control data into a new trial — and evaluates the operating characteristics of decisions made with them. The stable line has spent several releases on effective sample size: ESS for normal mixtures via a new `family` argument, boundary corrections when no responses or no non-responses are observed, and stabilised ELIR computations. The 1.9-0 release candidate extends the normal, binomial and Poisson outcome functions to two-sided decisions.

◆ Where it's heading

Two currents run through the changelog. One is ESS hardening — nearly every release since 1.7-4 fixes another edge case where the ELIR calculation aborted or returned something unstable, which is what happens when a quantity used to justify prior strength to regulators gets scrutinised. The other is Stan and brms integration debt: array syntax updates, a minimum Stan version bump, truncated prior generation for `mixstanvar`, deterministic EM. The RC's contributor list shows a second active maintainer, and the work is broader than any recent stable release.

◆ Prediction

The release candidate covers all three outcome families and has already absorbed a round of review comments, so the next step is most likely the 1.9-0 CRAN release itself rather than further feature work.

Alternatives to qualtRics and RBesT

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 qualtRics or RBesT.

See all qualtRics alternatives → · See all RBesT alternatives →

Recent activity from qualtRics and RBesT

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

  1. 1mo agoqualtRicsMailing list functions migrated to the XM Directory API
  2. 5mo agoRBesTTwo-sided decisions across normal, binomial and Poisson outcomes
  3. 11mo agoqualtRicsZip extraction handles more special characters in survey titles
  4. 1y agoRBesTJSON read and write for mixture objects
  5. 1y agoRBesTess() fixed inside apply functions
  6. 1y agoRBesTESS for normal mixtures in the exponential family
  7. 1y agoRBesTTruncated mixture priors for brms, plus faster Stan models
  8. 1y agoqualtRicsFix for questions with both recoded values and variable naming
  9. 1y agoqualtRicsBuild and CI housekeeping alongside the 3.2.1 release
  10. 2y agoqualtRicsSurvey response caching removed from fetch_survey()
  11. 2y agoRBesTStan array syntax update and CRAN system requirements
  12. 3y agoqualtRicsArgument checking refactor and include_* NA fix

Frequently asked questions

What is the difference between qualtRics and RBesT?

They serve adjacent needs but don't currently overlap on shipped themes. qualtRics and RBesT 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 qualtRics better than RBesT?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. qualtRics and RBesT 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 qualtRics?

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

What are the best alternatives to RBesT?

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