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Comparison · Analytics
hubVis vs segregatr
A side-by-side editorial comparison of hubVis and segregatr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
hubVis vs segregatr: at a glance
What is hubVis?
The hubverse plotting layer spends its releases absorbing upstream churn, not adding charts.
hubVis is the visualization component of the hubverse stack, centred on plot_step_ahead_model_output() for static and interactive forecast plots. Since the stable 0.1.0 in late 2024 it has shipped three patch releases, every one of them a single referenced issue fix. The plotting surface itself has not grown.
What is segregatr?
A segregation-analysis tool that keeps widening which pedigrees it can actually handle.
segregatr computes full-likelihood Bayes factors for variant segregation in families, built on pedtools and part of the wider pedsuite ecosystem. Its releases are infrequent but each one lifts a structural restriction: loops, recessive and X-linked models, liability classes, and most recently a proband-free variant of the score. The companion shinyseg app gives the same machinery a clinical front end.
hubVis vs segregatr: editorial side-by-side
hubVis
0.0ANALYTICS
The hubverse plotting layer spends its releases absorbing upstream churn, not adding charts.
◆ Current state
hubVis is the visualization component of the hubverse stack, centred on plot_step_ahead_model_output() for static and interactive forecast plots. Since the stable 0.1.0 in late 2024 it has shipped three patch releases, every one of them a single referenced issue fix. The plotting surface itself has not grown.
◆ Where it's heading
The pattern across all four releases is narrow and reactive: a legend construction fix, a palette assignment fix, and most recently a compatibility change for ggplot2 4.0.0 written to keep working with earlier versions too. Two of the three fixes concern colour and legend handling, which suggests palette assignment is the fragile part of the codebase. As a thin layer over ggplot2 inside a larger stack, the package's release triggers come from below it rather than from its own roadmap.
◆ Prediction
Expect continued single-issue patches driven by upstream ggplot2 changes and by whatever the sibling hubverse packages emit, rather than new plot types.
segregatr
0.0ANALYTICS
A segregation-analysis tool that keeps widening which pedigrees it can actually handle.
◆ Current state
segregatr computes full-likelihood Bayes factors for variant segregation in families, built on pedtools and part of the wider pedsuite ecosystem. Its releases are infrequent but each one lifts a structural restriction: loops, recessive and X-linked models, liability classes, and most recently a proband-free variant of the score. The companion shinyseg app gives the same machinery a clinical front end.
◆ Where it's heading
The through-line is coverage of awkward real-world pedigrees rather than new statistics. Loops were handled for the core score in 0.3.0 and then extended to liability classes in 0.4.0, so the same structural capability is being pushed through the codebase feature by feature. The 2025 release moves in a different direction, relaxing the requirement for a designated proband. Development is slow and steady, roughly annual, and tracks its pedtools dependency closely.
◆ Prediction
Expect the next release to continue relaxing modelling constraints — the pattern of retrofitting each new capability across loops, liability classes and inheritance models is unfinished — rather than expanding beyond segregation scoring.
Alternatives to hubVis and segregatr
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 hubVis or segregatr.
secuTrialR
A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.
flightsbr
Brazil's flight-data package keeps working around what ANAC publishes and when.
rolap
A star-schema modelling package grew a query language, a deployment path, and then a map layer.
kwb.db
A water-research lab's ODBC helper, still fighting Windows database drivers a decade in.
r2dii.match
PACTA's loan-book matcher opened up to sector taxonomies other than its own.
See all hubVis alternatives → · See all segregatr alternatives →
Recent activity from hubVis and segregatr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agohubVisCompatibility fix for ggplot2 4.0.0
- 11mo agosegregatrProband-free variant of the FLB score
- 1y agohubVisPalette creation fixed for colour parameters
- 1y agohubVisLegend built after plot so all traces appear
- 1y agohubVisStable release brings group parameter to interactive plots
- 2y agosegregatrLiability classes now work in looped pedigrees
- 3y agosegregatrsegregatr 0.3.0 ⚡
Frequently asked questions
What is the difference between hubVis and segregatr?
Both compete on the same themes — r-package — within Analytics. hubVis and segregatr 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 hubVis better than segregatr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hubVis and segregatr 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 hubVis?
Top hubVis alternatives in Analytics are ranked by recent ship velocity. Browse the "hubVis alternatives" section above for the current picks, or visit /alternatives/hubvis for the full list with editorial commentary on each.
What are the best alternatives to segregatr?
Top segregatr alternatives in Analytics are ranked by recent ship velocity. Browse the "segregatr alternatives" section above for the current picks, or visit /alternatives/segregatr for the full list with editorial commentary on each.