← Back to home
Comparison · Analytics

healthyR.ts vs skylight

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

healthyR.ts vs skylight: at a glance

FeaturehealthyR.tsskylight
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestime series, healthyverse, stationarity, ggplot2astronomy, illuminance, cpp-port, scientific-computing
Last editorial update1h ago45m ago
WebsiteVisit →Visit →

What is healthyR.ts?

healthyR.ts keeps adding time-series helpers, then quietly breaks the old ones to modernise them.

A time-series companion in the healthyverse family, shipping helper functions in batches: growth-rate vectors, an ADF test and auto_stationarize() in 0.2.11, then five log and differencing transforms in 0.3.0, and a random-walk plot in 0.3.2. Alongside the additions runs a steady stream of breaking cleanups — invisible returns dropped, R 4.1 required for the native pipe, and ts_ma_plot() refactored onto ggplot2 facets with its xts output removed and its return value cut from six items to two.

Read the full healthyR.ts trajectory →

What is skylight?

A frozen astronomical model quietly became the inner loop of its sibling's optimizer.

skylight returns sun and moon illuminance, azimuth and altitude for a given date, time and location, implemented as a near-verbatim transcription of a 1987 US Naval Observatory circular. The model formulation has not changed since the initial 2022 release and the author states so explicitly. Everything shipped since has been packaging, citation and speed: v1.3 moved the main routine from R to C++, and v1.4 removed a parameter check that was flooding the console with messages.

Read the full skylight trajectory →

healthyR.ts vs skylight: editorial side-by-side

H
healthyR.ts
ANALYTICS
0.0

healthyR.ts keeps adding time-series helpers, then quietly breaks the old ones to modernise them.

◆ Current state

A time-series companion in the healthyverse family, shipping helper functions in batches: growth-rate vectors, an ADF test and auto_stationarize() in 0.2.11, then five log and differencing transforms in 0.3.0, and a random-walk plot in 0.3.2. Alongside the additions runs a steady stream of breaking cleanups — invisible returns dropped, R 4.1 required for the native pipe, and ts_ma_plot() refactored onto ggplot2 facets with its xts output removed and its return value cut from six items to two.

◆ Where it's heading

Two threads, both consistent. The functional one is coverage of the stationarity workflow — transform, test, auto-stationarize, plot — assembled function by function rather than as a single API. The structural one is convergence on ggplot2 and tidy conventions, retiring xts objects and multi-object return lists as it goes. The package is not afraid to break return shapes to get there, so upgrades are not drop-in.

◆ Prediction

Expect the remaining functions that still return xts objects or bundled lists to get the same ggplot2-only treatment, since ts_ma_plot() was refactored on exactly that rationale.

S
skylight
ANALYTICS
0.0

A frozen astronomical model quietly became the inner loop of its sibling's optimizer.

◆ Current state

skylight returns sun and moon illuminance, azimuth and altitude for a given date, time and location, implemented as a near-verbatim transcription of a 1987 US Naval Observatory circular. The model formulation has not changed since the initial 2022 release and the author states so explicitly. Everything shipped since has been packaging, citation and speed: v1.3 moved the main routine from R to C++, and v1.4 removed a parameter check that was flooding the console with messages.

◆ Where it's heading

This is a reference implementation of a published algorithm rather than a product accumulating features, and it is being maintained that way. The movement that does occur is driven from downstream: the C++ port was written for the inverse-modelling loop in the sibling skytrackr package, which calls skylight repeatedly during optimization. That reframes skylight from a standalone calculator into the compute kernel another package's fitting routine depends on.

◆ Prediction

With the model formulation deliberately fixed and the C++ path already in place, the next release is most likely another small maintenance fix. The entries give no indication of planned new capability.

Alternatives to healthyR.ts and skylight

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 healthyR.ts or skylight.

See all healthyR.ts alternatives → · See all skylight alternatives →

Recent activity from healthyR.ts and skylight

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

  1. 6mo agohealthyR.tsRandom walk plot added; ts_ma_plot drops xts for ggplot2 facets
  2. 9mo agoskylightNoisy parameter check removed from console output
  3. 10mo agoskylightCore routine moves from R to C++ for repeated-call speed
  4. 1y agohealthyR.tsInvisible returns dropped; random walk and vva plot fixes
  5. 2y agohealthyR.tsFive log and differencing transform utilities added
  6. 2y agoskylightCitation updated after the companion paper published
  7. 2y agohealthyR.tsStationarity testing and auto_stationarize added
  8. 2y agohealthyR.tsSingle example fix
  9. 3y agohealthyR.tsBoilerplate fitting uses show_best directly
  10. 3y agoskylightSkylight v1.1
  11. 3y agoskylightFirst release: sun and moon illuminance from the 1987 USNO circular

Frequently asked questions

What is the difference between healthyR.ts and skylight?

They serve adjacent needs but don't currently overlap on shipped themes. healthyR.ts and skylight 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 healthyR.ts better than skylight?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. healthyR.ts and skylight 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 healthyR.ts?

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

What are the best alternatives to skylight?

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