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skylight vs spEDM

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

Shared themes:r-package

skylight vs spEDM: at a glance

FeatureskylightspEDM
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesastronomy, illuminance, cpp-port, scientific-computingcausal-inference, spatial-analysis, empirical-dynamic-modeling, r-package
Last editorial update47m ago2h ago
WebsiteVisit →Visit →

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 →

What is spEDM?

Spatial causal discovery in R, one exposed method per release

spEDM brings empirical dynamic modeling to spatial data — cross mapping, convergent cross mapping and pattern causality over spatial vector and raster inputs, with the numerics in C++ behind S4 generics. The recent releases have exposed geographical pattern causality and spatially convergent partial cross mapping at the R level with vignettes, and 1.12 turns to consolidating the API. It is part of the stscl family alongside the temporal-domain tEDM, with which it shares both its C++ core and its maintainer.

Read the full spEDM trajectory →

skylight vs spEDM: editorial side-by-side

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.

S
spEDM
ANALYTICS
0.0

Spatial causal discovery in R, one exposed method per release

◆ Current state

spEDM brings empirical dynamic modeling to spatial data — cross mapping, convergent cross mapping and pattern causality over spatial vector and raster inputs, with the numerics in C++ behind S4 generics. The recent releases have exposed geographical pattern causality and spatially convergent partial cross mapping at the R level with vignettes, and 1.12 turns to consolidating the API. It is part of the stscl family alongside the temporal-domain tEDM, with which it shares both its C++ core and its maintainer.

◆ Where it's heading

The cadence is steady and predictable: each release surfaces one more EDM method as an R-level API with a vignette, then spends the rest of its notes on parameter-handling consistency across the generics. Breaking changes are frequent and deliberate — argument renames, parameter reordering, NA-handling defaults — which reads as a package still settling its interface while the method surface expands. Shared changes appear in tEDM within days, so interface churn lands on both packages at once.

◆ Prediction

Expect the next release to expose another causality variant at the R level with an accompanying vignette, and to continue renaming or reordering parameters toward consistency across the spatial and temporal packages.

Alternatives to skylight and spEDM

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 skylight or spEDM.

See all skylight alternatives → · See all spEDM alternatives →

Recent activity from skylight and spEDM

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

  1. 4mo agospEDMData slicing for large-scale pattern causality, plus API breaks
  2. 6mo agospEDMspEDM 1.11
  3. 6mo agospEDMSpatially convergent partial cross mapping reaches the R API
  4. 8mo agospEDMRaster cross mapping with anisotropic embedding
  5. 9mo agoskylightNoisy parameter check removed from console output
  6. 10mo agoskylightCore routine moves from R to C++ for repeated-call speed
  7. 11mo agospEDMConfigurable distance metrics and multithreaded distance computation
  8. 1y agospEDMSpatial logistic map exposed at the R level
  9. 2y agoskylightCitation updated after the companion paper published
  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 skylight and spEDM?

Both compete on the same themes — r-package — within Analytics. skylight and spEDM 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 skylight better than spEDM?

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

What are the best alternatives to spEDM?

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