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Comparison · Infra & APIs

ggVennDiagram vs ipeaplot

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

ggVennDiagram vs ipeaplot: at a glance

FeatureggVennDiagramipeaplot
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, venn-diagram, visualization, r-packageggplot2-themes, data-visualization, brazil, r-packages
Last editorial update2h ago7h ago
WebsiteVisit →Visit →

What is ggVennDiagram?

A Venn diagram package whose public release notes say almost nothing — including about its copyright cleanup.

ggVennDiagram draws Venn diagrams as ggplot2 objects. The visible release feed is thin and irregular: three entries between 2021 and 2024, two of which contain nothing but a pointer to NEWS. Only the most recent, V1.5, describes actual changes, and both of them are legal housekeeping rather than features.

Read the full ggVennDiagram trajectory →

What is 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.

Read the full ipeaplot trajectory →

ggVennDiagram vs ipeaplot: editorial side-by-side

G
ggVennDiagram
INFRA · APIS
0.0

A Venn diagram package whose public release notes say almost nothing — including about its copyright cleanup.

◆ Current state

ggVennDiagram draws Venn diagrams as ggplot2 objects. The visible release feed is thin and irregular: three entries between 2021 and 2024, two of which contain nothing but a pointer to NEWS. Only the most recent, V1.5, describes actual changes, and both of them are legal housekeeping rather than features.

◆ Where it's heading

What can be read here is not a feature direction but a tidying of provenance. V1.5 removed code copied from yulab.utils and made the package comply with the copyright terms of the venn package it draws on, with the yulab.utils maintainer appearing as a first-time contributor to do it. Everything else in the window defers to a changelog kept outside the feed, so the direction of the package itself is not readable from these entries.

◆ Prediction

No reliable prediction is available from this feed — the release notes are pointers rather than descriptions, and the visible entries skip whole version ranges.

I
ipeaplot
INFRA · APIS
0.0

An institutional chart theme whose recent releases are all vignette repair.

◆ Current state

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.

◆ Where it's heading

The package has been converging on a smaller, more uniform surface: separate save_eps() and save_pdf() helpers gave way to one save_ipeaplot() covering vector and raster formats with sensible defaults, and the Frutiger font dependency was dropped for a default sans-serif. What consumes releases now is downstream breakage — two consecutive patches in ten days, the second traced to geobr, both in vignettes rather than package code.

◆ Prediction

The palette line has grown one colour set at a time and is the most likely place for the next addition, but nothing in these entries commits to it. On current evidence the near term is more compatibility patching against the geobr and ggplot2 packages the vignettes depend on.

Alternatives to ggVennDiagram and ipeaplot

Other Infra & APIs 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 ggVennDiagram or ipeaplot.

See all ggVennDiagram alternatives → · See all ipeaplot alternatives →

Recent activity from ggVennDiagram and ipeaplot

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

  1. 1mo agoipeaplotVignette fix for geobr breakage
  2. 1mo agoipeaplotPatch for a vignette build error
  3. 10mo agoipeaplotsave_ipeaplot() unifies vector and raster export
  4. 1y agoipeaplotPink palette added; axis break and categorical Y-axis fixes
  5. 1y agoipeaplotFrutiger dropped for a default sans-serif; save_pdf() added
  6. 2y agoipeaplottheme_ipea, colour and fill scales, save_eps on CRAN
  7. 2y agoggVennDiagramCopied code removed and venn copyright terms satisfied
  8. 2y agoggVennDiagramCRAN release 1.4.9
  9. 5y agoggVennDiagramCRAN release v1.1.4

Frequently asked questions

What is the difference between ggVennDiagram and ipeaplot?

They serve adjacent needs but don't currently overlap on shipped themes. ggVennDiagram and ipeaplot 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 ggVennDiagram better than ipeaplot?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggVennDiagram and ipeaplot 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to ggVennDiagram?

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

What are the best alternatives to ipeaplot?

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