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Comparison · Analytics

Athlytics vs sftime

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

Shared themes:r-package

Athlytics vs sftime: at a glance

FeatureAthlyticssftime
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessports-analytics, strava, ropensci, r-packagespatiotemporal, r-spatial, interoperability, tidyverse-integration
Last editorial update2h ago1h 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 sftime?

The spatiotemporal companion to sf, moving at the pace of the packages around it.

sftime extends sf with an active time column, giving R a data frame class for data that is both spatial and temporal. Its recent history is almost entirely integration work: 0.3.0 added conversion methods from spatstat point patterns, sftrack and sftraj movement objects and cubble data frames, plus dedicated tidyr::drop_na() and dplyr::dplyr_reconstruct() methods. The two releases since are a namespace version-check correction and a switch from the magrittr pipe to the native pipe in examples.

Read the full sftime trajectory →

Athlytics vs sftime: 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.

S
sftime
ANALYTICS
0.0

The spatiotemporal companion to sf, moving at the pace of the packages around it.

◆ Current state

sftime extends sf with an active time column, giving R a data frame class for data that is both spatial and temporal. Its recent history is almost entirely integration work: 0.3.0 added conversion methods from spatstat point patterns, sftrack and sftraj movement objects and cubble data frames, plus dedicated tidyr::drop_na() and dplyr::dplyr_reconstruct() methods. The two releases since are a namespace version-check correction and a switch from the magrittr pipe to the native pipe in examples.

◆ Where it's heading

The package's job is to be interoperable, so its releases follow whatever the surrounding spatial and tidyverse packages do. The dplyr_reconstruct() work is the clearest example of why that matters: inheriting sf's method caused column binding to silently return an sf object where an sftime object was expected, which is the kind of class-preservation bug that only surfaces two steps downstream. Development is sparse, roughly one release a year.

◆ Prediction

Expect further conversion methods as new spatiotemporal classes appear in the R spatial ecosystem, and continued tracking of dplyr and tidyr generics. The entries do not indicate any planned change to the sftime class itself.

Alternatives to Athlytics and sftime

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 sftime.

See all Athlytics alternatives → · See all sftime alternatives →

Recent activity from Athlytics and sftime

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. 3mo agosftimeExamples switched to the native R pipe
  5. 6mo agoAthlyticsv1.0.2: Documentation & Review Fixes
  6. 11mo agosftimeFixes the cubble namespace version check
  7. 1y agosftimeConverts from spatstat, sftrack and cubble objects

Frequently asked questions

What is the difference between Athlytics and sftime?

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

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

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