The recursive-computation engine under massProps grows the accessors its consumer needed
ipeaplot alternatives
The best ipeaplot alternatives in developer tools, ranked by Sparkpulse's velocity_score.
Updated Aug 20, 2026
Looking for the best alternatives to ipeaplot? Sparkpulse tracks and ranks 12 alternatives in developer tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, ipeaplot shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About ipeaplot
An institutional chart theme whose recent releases are all vignette repair.
ipeaplot supplies Ipea's house style to ggplot2 — theme_ipea(), matching colour and fill scales, and export helpers that write the formats the institute's publications need. The feature line has been quiet since October, when save_ipeaplot() consolidated the format-specific savers. Both July releases exist to get the package building again, not to change it.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to ipeaplot
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
A mass-properties rollup spends a year on documentation and follows its sibling's API
Six months of releases and not one of them touched the scoring models
A cognitive-science sampling package ships once, then goes quiet for eighteen months
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
Spatial thinning grows a result object, and the API breaks to make room for it
A dormant plant-breeding package returns as a genomic selection index suite
CRAN download analytics maintained one micro-change at a time, hundreds per year
INSEE's statistics API gets a French R client that keeps meeting its edge cases
A bulk file reader became a labelled-survey-data toolkit, then went quiet
Network diffusion analysis returns from a seven-year gap able to track several behaviours at once
ipeaplot vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| ipeaplot (baseline) | 0.0 | 0 | ggplot2-themesdata-visualizationbrazil | — |
| rollupTree | 0.0 | 0 | recursive-computationtree-structuresdag | — |
| massProps | 0.0 | 0 | systems-engineeringmass-propertiesuncertainty-propagation | — |
| writeAlizer | 0.0 | 0 | writing-assessmentnlp-featuresmodel-artifacts | — |
| samplr | 0.0 | 0 | cognitive-sciencesampling-algorithmsmcmc | — |
| stochvol | 0.0 | 0 | bayesian-inferencestochastic-volatilitymcmc | — |
| midr | 0.0 | 0 | explainable-aisurrogate-modelsshapley | Matrix responses bring multi-class and survival models in scope |
| GeoThinneR | 0.0 | 0 | spatial-thinningspecies-distributionoccurrence-data | GeoThinned result objects and a reorganised method surface |
| selection.index | 0.0 | 0 | plant-breedingselection-indexgenomic-selection | Genomic, marker and multi-stage selection indices on an Rcpp core |
| packageRank | 0.0 | 0 | crandownload-analyticslog-filtering | — |
| melodi | 0.0 | 0 | official-statisticsapi-clientinsee | — |
| bulkreadr | 0.0 | 0 | data-importsurvey-datalabelled-data | SPSS import converting labelled variables to factors |
| netdiffuseR | 0.0 | 0 | network-analysisdiffusioncontagion | Multi-adoption: splitting several behaviours out of one network |
The 12 best ipeaplot alternatives, in depth
1. rollupTree · velocity 0.0
The recursive-computation engine under massProps grows the accessors its consumer needed.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ipeaplot leans on ggplot2 themes, data visualization and brazil, rollupTree focuses on recursive computation, tree structures and dag.
rollupTree and ipeaplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full rollupTree trajectory → · Compare ipeaplot vs rollupTree →
2. massProps · velocity 0.0
A mass-properties rollup spends a year on documentation and follows its sibling's API.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ipeaplot leans on ggplot2 themes, data visualization and brazil, massProps focuses on systems engineering, mass properties and uncertainty propagation.
massProps and ipeaplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full massProps trajectory → · Compare ipeaplot vs massProps →
3. writeAlizer · velocity 0.0
Six months of releases and not one of them touched the scoring models.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ipeaplot leans on ggplot2 themes, data visualization and brazil, writeAlizer focuses on writing assessment, nlp features and model artifacts.
writeAlizer and ipeaplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full writeAlizer trajectory → · Compare ipeaplot vs writeAlizer →
4. samplr · velocity 0.0
A cognitive-science sampling package ships once, then goes quiet for eighteen months.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ipeaplot leans on ggplot2 themes, data visualization and brazil, samplr focuses on cognitive science, sampling algorithms and mcmc.
samplr and ipeaplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. stochvol · velocity 0.0
A Bayesian volatility sampler in its maintenance decade, paying for its own speed.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ipeaplot leans on ggplot2 themes, data visualization and brazil, stochvol focuses on bayesian inference, stochastic volatility and mcmc.
stochvol and ipeaplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. midr · velocity 0.0
A black-box interpreter reaches CRAN, then learns multi-class and survival responses.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Matrix responses bring multi-class and survival models in scope”.
Where ipeaplot leans on ggplot2 themes, data visualization and brazil, midr focuses on explainable ai, surrogate models and shapley.
midr and ipeaplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. GeoThinneR · velocity 0.0
Spatial thinning grows a result object, and the API breaks to make room for it.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “GeoThinned result objects and a reorganised method surface”.
Where ipeaplot leans on ggplot2 themes, data visualization and brazil, GeoThinneR focuses on spatial thinning, species distribution and occurrence data.
GeoThinneR and ipeaplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full GeoThinneR trajectory → · Compare ipeaplot vs GeoThinneR →
8. selection.index · velocity 0.0
A dormant plant-breeding package returns as a genomic selection index suite.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Genomic, marker and multi-stage selection indices on an Rcpp core”.
Where ipeaplot leans on ggplot2 themes, data visualization and brazil, selection.index focuses on plant breeding, selection index and genomic selection.
selection.index and ipeaplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full selection.index trajectory → · Compare ipeaplot vs selection.index →
9. packageRank · velocity 0.0
CRAN download analytics maintained one micro-change at a time, hundreds per year.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ipeaplot leans on ggplot2 themes, data visualization and brazil, packageRank focuses on cran, download analytics and log filtering.
packageRank and ipeaplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full packageRank trajectory → · Compare ipeaplot vs packageRank →
10. melodi · velocity 0.0
INSEE's statistics API gets a French R client that keeps meeting its edge cases.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ipeaplot leans on ggplot2 themes, data visualization and brazil, melodi focuses on official statistics, api client and insee.
melodi and ipeaplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. bulkreadr · velocity 0.0
A bulk file reader became a labelled-survey-data toolkit, then went quiet.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “SPSS import converting labelled variables to factors”.
Where ipeaplot leans on ggplot2 themes, data visualization and brazil, bulkreadr focuses on data import, survey data and labelled data.
bulkreadr and ipeaplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full bulkreadr trajectory → · Compare ipeaplot vs bulkreadr →
12. netdiffuseR · velocity 0.0
Network diffusion analysis returns from a seven-year gap able to track several behaviours at once.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Multi-adoption: splitting several behaviours out of one network”.
Where ipeaplot leans on ggplot2 themes, data visualization and brazil, netdiffuseR focuses on network analysis, diffusion and contagion.
netdiffuseR and ipeaplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full netdiffuseR trajectory → · Compare ipeaplot vs netdiffuseR →
Frequently asked questions
What are the best alternatives to ipeaplot?
The top ipeaplot alternatives we currently track in developer tools are rollupTree, massProps, writeAlizer, samplr, stochvol, ranked by recent ship velocity.
How is this list of ipeaplot alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare ipeaplot directly with one of these alternatives?
Yes — every card has a "Compare with ipeaplot" link to a side-by-side /compare page.