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crossmap vs svines

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

crossmap vs svines: at a glance

Featurecrossmapsvines
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themespurrr extension, functional programming, deprecations, furrrvine-copulas, time-series, dependence-modelling, rcpp
Last editorial update2h ago47m ago
WebsiteVisit →Visit →

What is crossmap?

crossmap's roadmap is set by purrr and furrr — it deprecates what upstream deprecates.

A small package for mapping over combinations of arguments, following purrr and furrr conventions. Its own functional additions stopped after xpluck() in 2023 and the cross_fit() clustering work in 2022. Everything since tracks upstream: xmap_raw() and future_xmap_raw() are now defunct because purrr removed map_raw() and furrr removed future_pmap_raw(), and re-exported parallel helpers now come from parallelly rather than future.

Read the full crossmap trajectory →

What is svines?

Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.

svines fits stationary vine copula models to multivariate time series, extending the rvinecopulib engine with the serial dependence structure that makes vines usable for temporal data. The visible history is three releases carrying one real addition — pseudo-residual computation and logLik support at 0.2.2 — with the rest tracking its C++ dependency.

Read the full svines trajectory →

crossmap vs svines: editorial side-by-side

C
crossmap
ANALYTICS
0.0

crossmap's roadmap is set by purrr and furrr — it deprecates what upstream deprecates.

◆ Current state

A small package for mapping over combinations of arguments, following purrr and furrr conventions. Its own functional additions stopped after xpluck() in 2023 and the cross_fit() clustering work in 2022. Everything since tracks upstream: xmap_raw() and future_xmap_raw() are now defunct because purrr removed map_raw() and furrr removed future_pmap_raw(), and re-exported parallel helpers now come from parallelly rather than future.

◆ Where it's heading

The package has settled into being a compatible extension rather than an independent one — its release notes read as a mirror of purrr's and furrr's deprecation schedules. Note that the release stamps are unreliable here: several versions were backfilled minutes apart and the 0.3.x tags carry timestamps in reverse version order, so feed position says nothing about what shipped when.

◆ Prediction

Expect the next release to be driven by another purrr or furrr change rather than new functionality, since that has been the sole trigger for the last four.

S
svines
ANALYTICS
0.0

Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.

◆ Current state

svines fits stationary vine copula models to multivariate time series, extending the rvinecopulib engine with the serial dependence structure that makes vines usable for temporal data. The visible history is three releases carrying one real addition — pseudo-residual computation and logLik support at 0.2.2 — with the rest tracking its C++ dependency.

◆ Where it's heading

This package moves when rvinecopulib moves. The 0.2.4 release exists solely to adapt to a new rvinecopulib version, and 0.2.7 carries auto-generated GitHub release notes with no description at all. It shipped on the same day as kde1d 1.1.1, another package from the same maintainer, which is the pattern to watch: changes in the shared C++ layer surface as near-simultaneous releases across the vine family rather than as independent work.

◆ Prediction

The next release most plausibly follows another rvinecopulib update rather than adding modelling capability. Two of the three visible entries carry no substantive notes, so this feed will keep underreporting what changed.

Alternatives to crossmap and svines

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 crossmap or svines.

See all crossmap alternatives → · See all svines alternatives →

Recent activity from crossmap and svines

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

  1. 6mo agocrossmapRaw-vector mapping functions removed
  2. 6mo agocrossmapRe-exports moved to the parallelly namespace
  3. 11mo agocrossmapFuture-backed tests skipped on CRAN
  4. 11mo agocrossmapInternal test fixes
  5. 1y agosvinessvines 0.2.7
  6. 1y agosvinesAdapted to new rvinecopulib version
  7. 2y agosvinesPseudo residuals and logLik support added
  8. 3y agocrossmapxpluck adds multi-index plucking
  9. 4y agocrossmapCluster specifications supported in cross_fit

Frequently asked questions

What is the difference between crossmap and svines?

They serve adjacent needs but don't currently overlap on shipped themes. crossmap and svines 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 crossmap better than svines?

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

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

What are the best alternatives to svines?

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