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Athlytics vs qualtRics

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

Shared themes:ropenscir-package

Athlytics vs qualtRics: at a glance

FeatureAthlyticsqualtRics
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessports-analytics, strava, ropensci, r-packagesurvey-data, api-client, qualtrics, ropensci
Last editorial update3h ago55m ago
WebsiteVisit →Visit →

What is Athlytics?

A Strava analytics package spent its 1.0 cycle surviving rOpenSci review, not adding features.

Athlytics computes endurance-training metrics — ACWR, EWMA load, efficiency factor, decoupling, personal bests — from Strava exports. Every release in view is review-driven: test-suite consolidation, dataset renames, styler passes, and a substantial robustness pass over the metric calculations and stream parsers. 1.0.6 explicitly changes nothing but packaging metadata.

Read the full Athlytics trajectory →

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 →

Athlytics vs qualtRics: editorial side-by-side

A
Athlytics
ANALYTICS
0.0

A Strava analytics package spent its 1.0 cycle surviving rOpenSci review, not adding features.

◆ Current state

Athlytics computes endurance-training metrics — ACWR, EWMA load, efficiency factor, decoupling, personal bests — from Strava exports. Every release in view is review-driven: test-suite consolidation, dataset renames, styler passes, and a substantial robustness pass over the metric calculations and stream parsers. 1.0.6 explicitly changes nothing but packaging metadata.

◆ Where it's heading

The package is optimising for credibility rather than surface area. It completed rOpenSci peer review, moved to an offline ZIP export workflow with hardened TCX/GPX parsing, corrected the EWMA half-life mapping, and deliberately softened its ACWR language away from injury-risk claims. Version numbers are also being published out of order, which makes the feed a poor guide to what shipped when.

◆ Prediction

With review complete and packaging metadata frozen for archival, the next substantive release is more likely to extend metric coverage or data sources than to continue polishing; nothing in these entries points to a specific new metric.

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.

Alternatives to Athlytics and qualtRics

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 Athlytics or qualtRics.

See all Athlytics alternatives → · See all qualtRics alternatives →

Recent activity from Athlytics and qualtRics

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

  1. 1mo agoqualtRicsMailing list functions migrated to the XM Directory API
  2. 2mo agoAthlyticsPackaging metadata standardised for archival
  3. 2mo agoAthlyticsrOpenSci peer review completed; test suite consolidated
  4. 2mo agoAthlyticsACWR and stream parsing corrected for real-world exports
  5. 6mo agoAthlyticsv1.0.2: Documentation & Review Fixes
  6. 11mo agoqualtRicsZip extraction handles more special characters in survey titles
  7. 1y agoqualtRicsFix for questions with both recoded values and variable naming
  8. 1y agoqualtRicsBuild and CI housekeeping alongside the 3.2.1 release
  9. 2y agoqualtRicsSurvey response caching removed from fetch_survey()
  10. 3y agoqualtRicsArgument checking refactor and include_* NA fix

Frequently asked questions

What is the difference between Athlytics and qualtRics?

Both compete on the same themes — ropensci, r-package — within Analytics. Athlytics and qualtRics 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 Athlytics better than qualtRics?

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

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

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.