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bagyo vs ggquiver

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

bagyo vs ggquiver: at a glance

Featurebagyoggquiver
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesopen data, tropical cyclones, philippines, data packageggplot2 extension, vector fields, data visualization, coordinate systems
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is bagyo?

bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.

A data package distributing Philippine Area of Responsibility tropical cyclone records, developed through 2024 pre-releases and accepted by CRAN in early 2026. The substantive release is v0.2.0: 2021 and 2022 typhoon data added, an unexported helper for downloading cyclone reports, CITATION.cff, an R 4.1 dependency for the base pipe, and a full pass over vignettes, tests and README. The v0.1.1 tag announcing the first CRAN release carries no content and is stamped two hours after v0.2.0.

Read the full bagyo trajectory →

What is ggquiver?

ggquiver returned after four years to make arrows respect ggplot's own scales.

A small ggplot2 extension for quiver and vector-field plots. The 0.3.x line in late 2021 was about making arrows behave correctly outside plain Cartesian coordinates — non-Cartesian coordinate systems, ggmap backgrounds, arrow sizing and angles. Then nothing for over four years, until 0.4.0 made arrows honour scale transformations on the x and y aesthetics and exposed grid::arrow()'s appearance options.

Read the full ggquiver trajectory →

bagyo vs ggquiver: editorial side-by-side

B
bagyo
ANALYTICS
0.0

bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.

◆ Current state

A data package distributing Philippine Area of Responsibility tropical cyclone records, developed through 2024 pre-releases and accepted by CRAN in early 2026. The substantive release is v0.2.0: 2021 and 2022 typhoon data added, an unexported helper for downloading cyclone reports, CITATION.cff, an R 4.1 dependency for the base pipe, and a full pass over vignettes, tests and README. The v0.1.1 tag announcing the first CRAN release carries no content and is stamped two hours after v0.2.0.

◆ Where it's heading

The package is establishing itself as a citable, yearly-updated dataset rather than a one-off scrape — the download helper and the '2022 data and general yearly upkeep' commit both point at a recurring refresh, and the CRAN DOI and CITATION file exist so the data can be cited in papers. It sits alongside the same maintainer's other public-health and survey data packages, which received matching repository upkeep in the same month.

◆ Prediction

Expect an annual data release adding the next typhoon season, since that is the only recurring change in the history and the download helper was written to support it.

G
ggquiver
ANALYTICS
0.0

ggquiver returned after four years to make arrows respect ggplot's own scales.

◆ Current state

A small ggplot2 extension for quiver and vector-field plots. The 0.3.x line in late 2021 was about making arrows behave correctly outside plain Cartesian coordinates — non-Cartesian coordinate systems, ggmap backgrounds, arrow sizing and angles. Then nothing for over four years, until 0.4.0 made arrows honour scale transformations on the x and y aesthetics and exposed grid::arrow()'s appearance options.

◆ Where it's heading

The consistent theme across both eras is deferring to ggplot2 rather than drawing on top of it: coordinate systems first, then scale transformations, then arrow styling handed to grid. Development is episodic — years pass, then a release that closes the gap between what the geom does and what a user expects from any other layer. The changelog is entirely correctness and integration work; there is no sign of the package growing new plot types.

◆ Prediction

The entries only support a narrow read: further releases will likely keep closing ggplot2 integration gaps as they are reported, but the four-year gap means cadence is not predictable from this feed.

Alternatives to bagyo and ggquiver

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 bagyo or ggquiver.

See all bagyo alternatives → · See all ggquiver alternatives →

Recent activity from bagyo and ggquiver

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

  1. 6mo agoggquiverArrows respect scale transformations and grid arrow styling
  2. 7mo agobagyobagyo v0.1.1
  3. 7mo agobagyo2021 and 2022 typhoon data added
  4. 2y agobagyoPre-release for Zenodo archiving
  5. 2y agobagyoInitial pre-release
  6. 4y agoggquiverArrow scaling and centered-arrow angle fixes
  7. 4y agoggquiverFix for resized vectors via vecsize
  8. 4y agoggquiverNon-Cartesian coordinates and ggmap backgrounds supported

Frequently asked questions

What is the difference between bagyo and ggquiver?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bagyo and ggquiver 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 Analytics products to evaluate alongside.

What are the best alternatives to bagyo?

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

What are the best alternatives to ggquiver?

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