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fellingdater vs gigs

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

Shared themes:ropenscir-package

fellingdater vs gigs: at a glance

Featurefellingdatergigs
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdendrochronology, crossdating, archaeology, ropenscigrowth-standards, neonatal-health, r-package, ropensci
Last editorial update4h ago57m ago
WebsiteVisit →Visit →

What is fellingdater?

Went from estimating felling dates to doing the crossdating that produces them.

fellingdater estimates when a tree was felled from sapwood measurements, the core inference in dendrochronological dating of timber. Version 1.0.0 passed rOpenSci review with that scope, and the 2024 releases were mostly about the accompanying JOSS paper and user-supplied sapwood datasets. Version 1.2.0 changed the package's remit substantially, adding an entire trs_* family for tree-ring series handling: crossdating with multiple statistical measures, the Hollstein and Baillie-Pilcher t-value transformations, parallel variation percentages, synthetic series generation, and dated-series plotting.

Read the full fellingdater trajectory →

What is gigs?

gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.

gigs implements international newborn and infant growth standards — INTERGROWTH-21st, WHO — converting anthropometric measurements to z-scores and centiles and classifying growth outcomes. The 0.5.0 release rewrote the public API around rOpenSci review feedback; the two releases after it change no code at all, existing purely to get the documentation site building.

Read the full gigs trajectory →

fellingdater vs gigs: editorial side-by-side

F
fellingdater
ANALYTICS
0.0

Went from estimating felling dates to doing the crossdating that produces them.

◆ Current state

fellingdater estimates when a tree was felled from sapwood measurements, the core inference in dendrochronological dating of timber. Version 1.0.0 passed rOpenSci review with that scope, and the 2024 releases were mostly about the accompanying JOSS paper and user-supplied sapwood datasets. Version 1.2.0 changed the package's remit substantially, adding an entire trs_* family for tree-ring series handling: crossdating with multiple statistical measures, the Hollstein and Baillie-Pilcher t-value transformations, parallel variation percentages, synthetic series generation, and dated-series plotting.

◆ Where it's heading

The package has expanded backwards along the workflow. It began at the last step — given dated series, estimate the felling date — and 1.2.0 added the step before it, establishing those dates by crossdating in the first place. Version 1.2.1 is early polish on that new surface: axis control, non-syntactic column names, encoding safety in read_fh(). The direction is a single package covering the chain from raw ring widths to a felling-date estimate.

◆ Prediction

Expect the trs_* family to keep accumulating polish and additional crossdating statistics, since it is barely a year old and 1.2.1 was already fixing its plotting and top_n behaviour. Whether the two halves of the package get unified into one workflow interface is the open question the entries do not answer.

G
gigs
ANALYTICS
0.0

gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.

◆ Current state

gigs implements international newborn and infant growth standards — INTERGROWTH-21st, WHO — converting anthropometric measurements to z-scores and centiles and classifying growth outcomes. The 0.5.0 release rewrote the public API around rOpenSci review feedback; the two releases after it change no code at all, existing purely to get the documentation site building.

◆ Where it's heading

The package has moved from vector-in, vector-out conversion helpers to a data.frame-oriented interface with a single classify_growth() entry point that computes whatever outcomes the supplied columns allow. That is a shift from library to tool — the user describes their data rather than picking the right function. The trailing releases suggest the code is settled and the remaining work is packaging and discoverability.

◆ Prediction

With the API rewrite absorbed and hosting moved to rOpenSci, the next substantive release should add growth standards or outcomes rather than reshape the interface again.

Alternatives to fellingdater and gigs

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 fellingdater or gigs.

See all fellingdater alternatives → · See all gigs alternatives →

Recent activity from fellingdater and gigs

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

  1. 4mo agofellingdaterPolish for the crossdating plots and file reader
  2. 1y agofellingdaterAdds a full crossdating and tree-ring analysis toolkit
  3. 1y agofellingdaterUser-supplied sapwood data works across all functions
  4. 1y agofellingdaterFixes fd_report() with user-defined sapwood files
  5. 1y agogigsDocs and Zenodo archiving
  6. 1y agogigsDocs-only release; nothing changed internally
  7. 1y agogigsConversion API rewritten around data frames and classify_growth()
  8. 2y agofellingdaterJOSS paper accepted; citation updated
  9. 2y agofellingdaterAdds a workflow vignette ahead of JOSS submission
  10. 2y agogigsDocumentation fixes for autotest compliance
  11. 2y agogigsINTERGROWTH-21st fetal standards and input validation
  12. 2y agogigsPatch release with documentation update

Frequently asked questions

What is the difference between fellingdater and gigs?

Both compete on the same themes — ropensci, r-package — within Analytics. fellingdater and gigs 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 fellingdater better than gigs?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fellingdater and gigs 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 fellingdater?

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

What are the best alternatives to gigs?

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