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Comparison · Analytics

ApexCharts vs r2dii.plot

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

ApexCharts vs r2dii.plot: at a glance

FeatureApexChartsr2dii.plot
SectorAnalyticsAnalytics
Velocity score10.00.0
Sparks · 30d30
Top themescharting, raw-data-input, chart-morphing, premium-tieringclimate-finance, data-visualization, pacta, ggplot2
Last editorial update1d ago2d ago
WebsiteVisit →Visit →

What is ApexCharts?

Licensing settled, ApexCharts is back to changing what a chart can take as input.

ApexCharts is deep into a fast v6 line, shipping roughly weekly. The licensing arc that dominated 6.5 through 6.7 — trial watermarks, the first premium-gated chart type, then entitlement checks — has settled, and the last three releases are library work again. 6.9.0 is the largest of them: a histogram type that bins raw samples, a morph engine that conserves marks across chart types, and the end of the library's dependency-free packaging.

Read the full ApexCharts 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 →

ApexCharts vs r2dii.plot: editorial side-by-side

A
ApexCharts
ANALYTICS
10.0

Licensing settled, ApexCharts is back to changing what a chart can take as input.

◆ Current state

ApexCharts is deep into a fast v6 line, shipping roughly weekly. The licensing arc that dominated 6.5 through 6.7 — trial watermarks, the first premium-gated chart type, then entitlement checks — has settled, and the last three releases are library work again. 6.9.0 is the largest of them: a histogram type that bins raw samples, a morph engine that conserves marks across chart types, and the end of the library's dependency-free packaging.

◆ Where it's heading

The through-line now is input and arrangement rather than catalogue size. Charts increasingly accept the measurements a team actually has instead of pre-aggregated values, and the seams that let you hand a chart its own layout — plotOptions.unit.positions, the pluggable layout hook — are being filled in with kits rather than hard-coded options. The premium boundary has stopped moving; the free catalogue keeps growing around it.

◆ Prediction

Expect the raw-observation pattern to reach another chart type now that the bar pathway handles binning, and expect the remaining pluggable seams to get companion kits the way positions just did.

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 ApexCharts 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 ApexCharts or r2dii.plot.

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

Recent activity from ApexCharts and r2dii.plot

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

  1. 1d agoApexChartsUnit charts get a 39-shape companion kit
  2. 2d agoApexChartsHistogram bins raw samples; charts morph between types
  3. 9d agoApexChartsPer-data-point label offsets land as functions
  4. 10d agoApexChartsPie and donut slice clicks work again after a 6.7.0 regression
  5. 16d agoApexChartsSunburst charts arrive; premium features now need an entitled plan
  6. 22d agoApexChartsUnit chart is the first premium-gated chart type
  7. 1y agor2dii.plotBundled datasets renamed to mark them as demos
  8. 1y agor2dii.plotColumn definitions added to the data dictionary
  9. 1y agor2dii.plotData dictionary lands and the package declares itself stable
  10. 2y agor2dii.plotr2dii.plot 0.4.0
  11. 3y agor2dii.plotPACTA colour palettes exposed as datasets after org move
  12. 4y agor2dii.plotTrajectory plots move to percentage scaling alongside r2dii.analysis

Frequently asked questions

What is the difference between ApexCharts and r2dii.plot?

They serve adjacent needs but don't currently overlap on shipped themes. ApexCharts is currently shipping more aggressively (velocity 10.0 vs 0.0), with 3 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is ApexCharts better than r2dii.plot?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ApexCharts is currently shipping more aggressively (velocity 10.0 vs 0.0), with 3 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to ApexCharts?

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