n2kanalysis
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
Comparison · Analytics
citeme vs gtsummary
A side-by-side editorial comparison of citeme and gtsummary — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
citeme vs gtsummary: at a glance
What is citeme?
Citation metadata machinery breaks out of INBO's checklist package to stand on its own.
citeme handles citation metadata for research software and organisations — building citation files, validating ORCIDs, RORs, licenses and URLs, and prompting for the pieces interactively. It was extracted from the checklist package in 0.1.0 and has spent the four releases since fleshing out organisational roles, most visibly publishers.
What is gtsummary?
gtsummary is quietly rebuilding itself around analysis results data, one table verb at a time.
gtsummary builds publication-ready summary, regression and survival tables for clinical and epidemiological work. Across this window it has grown in two directions at once: table composition primitives — splitting tables by rows and columns, stacking with labeled IDs, nested strata stacks, flexible merge columns — and a steadily deepening ARD layer, where tbl_ard_* functions, gather_ard() and the hierarchical table family expose the underlying analysis results data as a first-class object.
citeme vs gtsummary: editorial side-by-side
citeme
0.0ANALYTICS
Citation metadata machinery breaks out of INBO's checklist package to stand on its own.
◆ Current state
citeme handles citation metadata for research software and organisations — building citation files, validating ORCIDs, RORs, licenses and URLs, and prompting for the pieces interactively. It was extracted from the checklist package in 0.1.0 and has spent the four releases since fleshing out organisational roles, most visibly publishers.
◆ Where it's heading
Development is running in tight monthly increments along two tracks: modelling who is attached to a piece of research software, and smoothing the interactive prompts that collect it. The publisher role added in 0.1.1 propagated through validation, community detection and YAML handling over the next two releases, which is how this package tends to land a concept — introduce the class field, then follow it everywhere it needs to reach.
◆ Prediction
Expect the interactive ask_* family to keep growing alongside whatever metadata field is being modelled next, and further alignment with the checklist package it was carved out of.
gtsummary
0.0ANALYTICS
gtsummary is quietly rebuilding itself around analysis results data, one table verb at a time.
◆ Current state
gtsummary builds publication-ready summary, regression and survival tables for clinical and epidemiological work. Across this window it has grown in two directions at once: table composition primitives — splitting tables by rows and columns, stacking with labeled IDs, nested strata stacks, flexible merge columns — and a steadily deepening ARD layer, where tbl_ard_* functions, gather_ard() and the hierarchical table family expose the underlying analysis results data as a first-class object.
◆ Where it's heading
The ARD work is the through-line. Table IDs exist so gather_ard() can return a named list; hierarchical tables gained per-level sorting and targeted filtering; ARD inputs are pre-processed so sorting applies to non-standard shapes. The package is becoming a structured-results engine that happens to render tables, rather than a renderer alone. Alongside that, 2.2.0 restored data pre-processing that 2.0 had removed after the reduced functionality hurt users — a maintainer willing to reverse a major-version decision.
◆ Prediction
Expect the hierarchical and ARD functions, introduced as a preview without a full deprecation cycle, to keep stabilizing toward a settled API rather than new table types appearing.
Alternatives to citeme and gtsummary
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 citeme or gtsummary.
n1qn1c
A Fortran-descended optimizer got thread-safe, then found two flags that never worked.
ggstatsplot
ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.
collapse
collapse got a JSS paper and a 7x fmean speedup in the same release.
broadcast
broadcast is filling in NumPy-style array broadcasting for R, operator by operator.
climaemet
climaemet added weather alerts and wildfire risk, then spent two years managing rate limits.
See all citeme alternatives → · See all gtsummary alternatives →
Recent activity from citeme and gtsummary
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agocitemeInteractive keyword prompts and YAML logical fixes
- 1mo agocitemeREADME parsing handles a missing language badge
- 2mo agocitemePublisher role reaches badges and README metadata
- 2mo agogtsummaryTheme elements no longer evaluated by default
- 3mo agocitemeOrganisations can declare publisher requirements
- 4mo agocitemeciteme splits out of checklist as its own package ⚡
- 8mo agogtsummaryARD strata functions and finer theme control
- 11mo agogtsummaryPer-level hierarchical sorting and labeled stacking
- 1y agogtsummaryTable splitting, ID labeling, and add_difference_row
- 1y agogtsummaryData pre-processing restored after the 2.0 removal
- 1y agogtsummarytbl_merge gains explicit merge columns
Frequently asked questions
What is the difference between citeme and gtsummary?
Both compete on the same themes — r-package — within Analytics. citeme and gtsummary 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 citeme better than gtsummary?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. citeme and gtsummary 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 citeme?
Top citeme alternatives in Analytics are ranked by recent ship velocity. Browse the "citeme alternatives" section above for the current picks, or visit /alternatives/citeme-r for the full list with editorial commentary on each.
What are the best alternatives to gtsummary?
Top gtsummary alternatives in Analytics are ranked by recent ship velocity. Browse the "gtsummary alternatives" section above for the current picks, or visit /alternatives/gtsummary-r for the full list with editorial commentary on each.