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Comparison · Infra & APIs

ipeaplot vs vcfR

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

ipeaplot vs vcfR: at a glance

FeatureipeaplotvcfR
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2-themes, data-visualization, brazil, r-packagesgenomics, vcf, population-genetics, r-package
Last editorial update7h ago2h ago
WebsiteVisit →Visit →

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 →

What is vcfR?

A genomics workhorse whose visible release feed stops dead in mid-2020.

vcfR reads, manipulates and visualises VCF files, the standard format for genomic variant calls, and bridges them into R population-genetics classes such as genind, genlight and DNAbin. The three entries available here all come from the first half of 2020 and stop there, so the feed shows the state of the package six years ago rather than today.

Read the full vcfR trajectory →

ipeaplot vs vcfR: editorial side-by-side

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.

V
vcfR
INFRA · APIS
0.0

A genomics workhorse whose visible release feed stops dead in mid-2020.

◆ Current state

vcfR reads, manipulates and visualises VCF files, the standard format for genomic variant calls, and bridges them into R population-genetics classes such as genind, genlight and DNAbin. The three entries available here all come from the first half of 2020 and stop there, so the feed shows the state of the package six years ago rather than today.

◆ Where it's heading

Within that window the direction is unmistakably consolidation, not growth. 1.9.0 pushed error handling down into the C++ layer that actually reads the VCF so failures surface earlier and shared files stop tripping a readability pre-check, tightened class checks, and added conversion options. The two releases after it exist only to keep pace with R 4.0.0 and dplyr 1.0.0. Any development after June 2020 is not visible in this feed, so the current trajectory cannot be read from it.

◆ Prediction

No prediction can be grounded in these entries — the feed has been silent for six years, which points at a stale or broken source rather than at a package that stopped.

Alternatives to ipeaplot and vcfR

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 ipeaplot or vcfR.

See all ipeaplot alternatives → · See all vcfR alternatives →

Recent activity from ipeaplot and vcfR

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. 6y agovcfRCompatibility release for R 4.0 and dplyr 1.0
  8. 6y agovcfRDeprecated dplyr verbs handled in the tidy conversion path
  9. 6y agovcfRVCF read errors move into C++; allele-return options added

Frequently asked questions

What is the difference between ipeaplot and vcfR?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ipeaplot and vcfR 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 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.

What are the best alternatives to vcfR?

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