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Comparison · Analytics

Athlytics vs gigs

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

Shared themes:ropenscir-package

Athlytics vs gigs: at a glance

FeatureAthlyticsgigs
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessports-analytics, strava, ropensci, r-packagegrowth-standards, neonatal-health, r-package, ropensci
Last editorial update5h ago56m 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 gigs?

gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.

gigs implements international newborn and infant growth standards — INTERGROWTH-21st, WHO — converting anthropometric measurements to z-scores and centiles and classifying growth outcomes. The 0.5.0 release rewrote the public API around rOpenSci review feedback; the two releases after it change no code at all, existing purely to get the documentation site building.

Read the full gigs trajectory →

Athlytics vs gigs: 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.

G
gigs
ANALYTICS
0.0

gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.

◆ Current state

gigs implements international newborn and infant growth standards — INTERGROWTH-21st, WHO — converting anthropometric measurements to z-scores and centiles and classifying growth outcomes. The 0.5.0 release rewrote the public API around rOpenSci review feedback; the two releases after it change no code at all, existing purely to get the documentation site building.

◆ Where it's heading

The package has moved from vector-in, vector-out conversion helpers to a data.frame-oriented interface with a single classify_growth() entry point that computes whatever outcomes the supplied columns allow. That is a shift from library to tool — the user describes their data rather than picking the right function. The trailing releases suggest the code is settled and the remaining work is packaging and discoverability.

◆ Prediction

With the API rewrite absorbed and hosting moved to rOpenSci, the next substantive release should add growth standards or outcomes rather than reshape the interface again.

Alternatives to Athlytics and gigs

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 gigs.

See all Athlytics alternatives → · See all gigs alternatives →

Recent activity from Athlytics and gigs

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

  1. 2mo agoAthlyticsPackaging metadata standardised for archival
  2. 2mo agoAthlyticsrOpenSci peer review completed; test suite consolidated
  3. 2mo agoAthlyticsACWR and stream parsing corrected for real-world exports
  4. 6mo agoAthlyticsv1.0.2: Documentation & Review Fixes
  5. 1y agogigsDocs and Zenodo archiving
  6. 1y agogigsDocs-only release; nothing changed internally
  7. 1y agogigsConversion API rewritten around data frames and classify_growth()
  8. 2y agogigsDocumentation fixes for autotest compliance
  9. 2y agogigsINTERGROWTH-21st fetal standards and input validation
  10. 2y agogigsPatch release with documentation update

Frequently asked questions

What is the difference between Athlytics and gigs?

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

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

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