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hubVis vs r2dii.plot

A side-by-side editorial comparison of hubVis and r2dii.plot — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-packageggplot2

hubVis vs r2dii.plot: at a glance

FeaturehubVisr2dii.plot
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesforecast-visualization, hubverse, r-package, ggplot2climate-finance, data-visualization, pacta, ggplot2
Last editorial update43m ago38m 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 r2dii.plot?

PACTA's climate-alignment charting layer split prep from plotting, then settled into stable.

r2dii.plot renders the standard PACTA climate-alignment charts — trajectory, tech mix, emission intensity — as ggplot2 objects, paired with the 2DII colour palettes and theme. Since 0.4.0 the package has exposed a two-step pipeline where prep_*() shapes the data before plot_*() draws it, while qplot_*() remains the one-call convenience path. It declared itself stable in early 2025.

Read the full r2dii.plot trajectory →

hubVis vs r2dii.plot: 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
r2dii.plot
ANALYTICS
0.0

PACTA's climate-alignment charting layer split prep from plotting, then settled into stable.

◆ Current state

r2dii.plot renders the standard PACTA climate-alignment charts — trajectory, tech mix, emission intensity — as ggplot2 objects, paired with the 2DII colour palettes and theme. Since 0.4.0 the package has exposed a two-step pipeline where prep_*() shapes the data before plot_*() draws it, while qplot_*() remains the one-call convenience path. It declared itself stable in early 2025.

◆ Where it's heading

The package has been converging on a settled contract for years. Early releases chased visual polish and label handling, then 0.2.0 exposed the palette scales as reusable ggplot2 components, and 0.4.0 made the prepared data a first-class artefact rather than something hidden inside a plotting call. Recent releases are documentation and hygiene: a data_dictionary describing every column, definitions filled in, demo datasets renamed to say they are demos. It also moved organisations, from 2DII to RMI-PACTA, and its releases stay pinned to r2dii.analysis and to ggplot2's deprecation schedule.

◆ Prediction

With the lifecycle marked stable and the last two releases confined to dataset naming and documentation, the next release is most likely another ggplot2 compatibility pass or a sibling-package alignment rather than new chart types.

Alternatives to hubVis and r2dii.plot

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 r2dii.plot.

See all hubVis alternatives → · See all r2dii.plot alternatives →

Recent activity from hubVis and r2dii.plot

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

  1. 11mo agohubVisCompatibility fix for ggplot2 4.0.0
  2. 1y agor2dii.plotBundled datasets renamed to mark them as demos
  3. 1y agohubVisPalette creation fixed for colour parameters
  4. 1y agor2dii.plotColumn definitions added to the data dictionary
  5. 1y agor2dii.plotData dictionary lands and the package declares itself stable
  6. 1y agohubVisLegend built after plot so all traces appear
  7. 1y agohubVisStable release brings group parameter to interactive plots
  8. 2y agor2dii.plotr2dii.plot 0.4.0
  9. 3y agor2dii.plotPACTA colour palettes exposed as datasets after org move
  10. 4y agor2dii.plotTrajectory plots move to percentage scaling alongside r2dii.analysis

Frequently asked questions

What is the difference between hubVis and r2dii.plot?

Both compete on the same themes — r-package, ggplot2 — within Analytics. hubVis and r2dii.plot 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 r2dii.plot?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hubVis and r2dii.plot 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 r2dii.plot?

Top r2dii.plot alternatives in Analytics are ranked by recent ship velocity. Browse the "r2dii.plot alternatives" section above for the current picks, or visit /alternatives/r2dii-plot for the full list with editorial commentary on each.