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fellingdater vs logrx

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

Shared themes:r-package

fellingdater vs logrx: at a glance

Featurefellingdaterlogrx
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdendrochronology, crossdating, archaeology, ropenscipharmaverse, logging, clinical-trials, compliance
Last editorial update1h ago2h 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 logrx?

A clinical-script logger that stopped shipping after its 0.2 line, changelogs made of merged PRs.

logrx produces execution logs for R scripts in regulated clinical work, recording what ran, what it returned, and which unapproved packages or functions were used. Its release notes are raw merged-PR lists rather than written changelogs, which makes the substance hard to read from the feed. The most recent release, 0.2.2 in June 2023, exists to track tidyselect and dplyr changes.

Read the full logrx trajectory →

fellingdater vs logrx: 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.

L
logrx
ANALYTICS
0.0

A clinical-script logger that stopped shipping after its 0.2 line, changelogs made of merged PRs.

◆ Current state

logrx produces execution logs for R scripts in regulated clinical work, recording what ran, what it returned, and which unapproved packages or functions were used. Its release notes are raw merged-PR lists rather than written changelogs, which makes the substance hard to read from the feed. The most recent release, 0.2.2 in June 2023, exists to track tidyselect and dplyr changes.

◆ Where it's heading

Feature work concentrated in the 0.1 line — return codes, a results writer, a to_report parameter, and logging of unapproved package and function use — and the 0.2 releases have been compatibility maintenance and hotfixes. Three years of silence in a pharmaverse that has otherwise kept shipping suggests the package reached the shape its users needed rather than that it was abandoned mid-design.

◆ Prediction

Nothing in these entries points to planned work; the likeliest trigger for a release is a breaking change in tidyverse dependencies, which is what produced the last one.

Alternatives to fellingdater and logrx

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 logrx.

See all fellingdater alternatives → · See all logrx alternatives →

Recent activity from fellingdater and logrx

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. 2y agofellingdaterJOSS paper accepted; citation updated
  6. 2y agofellingdaterAdds a workflow vignette ahead of JOSS submission
  7. 3y agologrxAlignment with tidyselect and dplyr changes
  8. 3y agologrxRelease v0.2.1
  9. 3y agologrxFormatted log output plus CRAN readiness work
  10. 4y agologrxPackage renamed to logrx; return codes and results writer land

Frequently asked questions

What is the difference between fellingdater and logrx?

Both compete on the same themes — r-package — within Analytics. fellingdater and logrx 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 logrx?

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

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