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Comparison · Analytics
Holistics vs r2dii.plot
A side-by-side editorial comparison of Holistics and r2dii.plot — release velocity, themes, recent moves, and the top alternatives to consider.
Holistics vs r2dii.plot: at a glance
What is Holistics?
Holistics is adding governance to the AI layer it spent the summer building.
Holistics ships small, frequent notes - often one or two sentences - covering three strands at once: AI features in Explore and Chat, as-code control over presentation through AML, and workspace hygiene like file history and dark mode. The August entries turn to the AI layer's edges rather than its capabilities, with an AI user attribute for restricting what the assistant can reach. Several entries are barely a line long, so scope frequently has to be read from the headline.
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.
Holistics vs r2dii.plot: editorial side-by-side
Holistics
5.0ANALYTICS
Holistics is adding governance to the AI layer it spent the summer building.
◆ Current state
Holistics ships small, frequent notes - often one or two sentences - covering three strands at once: AI features in Explore and Chat, as-code control over presentation through AML, and workspace hygiene like file history and dark mode. The August entries turn to the AI layer's edges rather than its capabilities, with an AI user attribute for restricting what the assistant can reach. Several entries are barely a line long, so scope frequently has to be read from the headline.
◆ Where it's heading
The AI work has moved through a recognizable sequence: capability first with chart suggestions, then observability with AI Chat Insights for admins, and now access control with an AI-specific user attribute. Alongside it, Holistics keeps pulling presentation into AML - custom charts, theme palettes, currency formats - so the things analysts used to click are versioned as code. File history is the join between the two threads, giving every dashboard, model, and dataset its own restorable timeline.
◆ Prediction
With capability, visibility, and access control now in place for the AI layer, the next step is likely audit or policy depth - logging what the assistant answered against which data - rather than new AI surfaces.
r2dii.plot
0.0ANALYTICS
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 Holistics 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 Holistics or r2dii.plot.
silx
silx settles into maintenance a release after its PySide6 migration
Plotly
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
aniread
aniread stops asking you to know which tracker wrote the file
Rho
Rho's release machinery finally produced a stable build — and it shipped no new product.
Usermaven
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
See all Holistics alternatives → · See all r2dii.plot alternatives →
Recent activity from Holistics and r2dii.plot
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoHolisticsAI user attribute restricts AI access to sensitive data
- 16d agoHolisticsCustom currency and unit formats, per field
- 19d agoHolisticsFile history: per-file version timeline and restore
- 22d agoHolisticsCustom charts become AML code with GUI authoring
- 23d agoHolisticsColor palettes can be assigned at the theme level
- 27d agoHolisticsDate-range presets and typed shorthands
- 1y agor2dii.plotBundled datasets renamed to mark them as demos
- 1y agor2dii.plotColumn definitions added to the data dictionary
- 1y agor2dii.plotData dictionary lands and the package declares itself stable
- 2y agor2dii.plotr2dii.plot 0.4.0 ⚡
- 3y agor2dii.plotPACTA colour palettes exposed as datasets after org move
- 4y agor2dii.plotTrajectory plots move to percentage scaling alongside r2dii.analysis
Frequently asked questions
What is the difference between Holistics and r2dii.plot?
They serve adjacent needs but don't currently overlap on shipped themes. Holistics is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 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 Holistics better than r2dii.plot?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Holistics is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 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 Holistics?
Top Holistics alternatives in Analytics are ranked by recent ship velocity. Browse the "Holistics alternatives" section above for the current picks, or visit /alternatives/holistics 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.