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Comparison · Analytics

hubVis vs rolap

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

Shared themes:r-package

hubVis vs rolap: at a glance

FeaturehubVisrolap
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesforecast-visualization, hubverse, r-package, ggplot2olap, star-schema, data-warehousing, spatial-data
Last editorial update44m ago34m ago
WebsiteVisit →Visit →

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.

Read the full hubVis trajectory →

What is rolap?

A star-schema modelling package grew a query language, a deployment path, and then a map layer.

rolap builds dimensional models — star databases and constellations — from flat tables inside R. Over 2023 it acquired a multidimensional query interface, the ability to deploy models into relational databases, incremental refresh, and geographic layers exportable as GeoPackage. Since early 2024 it has been quiet, with the only 2025 release removing a test that clashed with another package.

Read the full rolap trajectory →

hubVis vs rolap: editorial side-by-side

H
hubVis
ANALYTICS
0.0

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.

R
rolap
ANALYTICS
0.0

A star-schema modelling package grew a query language, a deployment path, and then a map layer.

◆ Current state

rolap builds dimensional models — star databases and constellations — from flat tables inside R. Over 2023 it acquired a multidimensional query interface, the ability to deploy models into relational databases, incremental refresh, and geographic layers exportable as GeoPackage. Since early 2024 it has been quiet, with the only 2025 release removing a test that clashed with another package.

◆ Where it's heading

The 2023 releases trace a deliberate progression from modelling to operating: first a common data model and flat table class, then role-playing dimensions, then incremental refresh, then querying and deployment, then geography, then slowly changing dimensions. That is essentially the feature checklist of a data warehouse, assembled in about six months and documented with a vignette at each step. The pace since has dropped to almost nothing, which reads as a project that reached its intended scope rather than one that stalled.

◆ Prediction

Given eighteen months in which the only release was a test removal, the next release is more likely to be maintenance than another warehouse feature — though the entries give no clear signal either way.

Alternatives to hubVis and rolap

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 rolap.

See all hubVis alternatives → · See all rolap alternatives →

Recent activity from hubVis and rolap

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

  1. 11mo agohubVisCompatibility fix for ggplot2 4.0.0
  2. 1y agohubVisPalette creation fixed for colour parameters
  3. 1y agorolapConflicting test temporarily removed
  4. 1y agohubVisLegend built after plot so all traces appear
  5. 1y agohubVisStable release brings group parameter to interactive plots
  6. 2y agorolapSlowly changing dimension structure added
  7. 2y agorolapGeographic layers and GeoPackage export
  8. 2y agorolaprolap 2.4.0
  9. 2y agorolapIncremental refresh for star databases
  10. 2y agorolapFlat table class and a shared data model

Frequently asked questions

What is the difference between hubVis and rolap?

Both compete on the same themes — r-package — within Analytics. hubVis and rolap 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 rolap?

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

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