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maths.genealogy vs svines

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

Shared themes:r-package

maths.genealogy vs svines: at a glance

Featuremaths.genealogysvines
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesacademic-genealogy, api-client, graph-visualisation, cran-compliancevine-copulas, time-series, dependence-modelling, rcpp
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is maths.genealogy?

A young Mathematics Genealogy client spending its first four releases satisfying CRAN.

maths.genealogy queries the Mathematics Genealogy Project over a WebSocket connection and renders academic advisor-student trees, with plot_grviz() as the visualisation entry point. The package reached CRAN in early 2025 and its functional surface has barely moved since — max_zoom() for deep trees at 0.1.1 is the only user-facing addition in the visible history.

Read the full maths.genealogy 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 →

maths.genealogy vs svines: editorial side-by-side

M0.0

A young Mathematics Genealogy client spending its first four releases satisfying CRAN.

◆ Current state

maths.genealogy queries the Mathematics Genealogy Project over a WebSocket connection and renders academic advisor-student trees, with plot_grviz() as the visualisation entry point. The package reached CRAN in early 2025 and its functional surface has barely moved since — max_zoom() for deep trees at 0.1.1 is the only user-facing addition in the visible history.

◆ Where it's heading

Every release after the first is CRAN policy management. Three consecutive entries deal with the same underlying problem: examples that hit a live network resource and therefore fail unpredictably on check machines. The progression from wrapping them in \donttest{} to catching a stray case to rewriting all examples against published API-package guidance shows the maintainer converging on a pattern rather than adding features. That is the normal cost of shipping a network client to CRAN, and it appears to be settling.

◆ Prediction

With the examples problem resolved, the next release is the first plausible opportunity for feature work — likely on the plotting side, given max_zoom() was the sole non-compliance change so far. The entries do not name anything specific in progress.

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 maths.genealogy 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 maths.genealogy or svines.

See all maths.genealogy alternatives → · See all svines alternatives →

Recent activity from maths.genealogy and svines

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

  1. 1y agomaths.genealogyExamples rewritten to CRAN API-package guidance
  2. 1y agomaths.genealogyRemaining network-dependent example wrapped in donttest
  3. 1y agosvinessvines 0.2.7
  4. 1y agomaths.genealogyDESCRIPTION quoting and donttest example wrapping
  5. 1y agomaths.genealogyplot_grviz() gains max_zoom for deep trees
  6. 1y agosvinesAdapted to new rvinecopulib version
  7. 2y agosvinesPseudo residuals and logLik support added

Frequently asked questions

What is the difference between maths.genealogy and svines?

Both compete on the same themes — r-package — within Analytics. maths.genealogy 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 maths.genealogy better than svines?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. maths.genealogy 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 maths.genealogy?

Top maths.genealogy alternatives in Analytics are ranked by recent ship velocity. Browse the "maths.genealogy alternatives" section above for the current picks, or visit /alternatives/maths-genealogy 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.