n2kanalysis
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
A side-by-side editorial comparison of citeme and tidyterra — release velocity, themes, recent moves, and the top alternatives to consider.
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.
tidyterra finished wiring terra objects into the tidyverse, one verb family at a time.
tidyterra supplies tidyverse methods and ggplot2 geoms for terra's SpatRaster and SpatVector classes, so spatial objects can be manipulated with dplyr verbs and plotted without conversion. The 1.0.0 release in January 2026 set a hard ggplot2 4.0.0 floor and added broom-style generics — tidy(), glance() and required_pkgs() across SpatRaster, SpatVector, SpatGraticule and SpatExtent. The 1.1.0 and 1.2.0 releases since have filled in the remaining dplyr and tidyr verb surface for SpatVector.
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.
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.
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.
tidyterra supplies tidyverse methods and ggplot2 geoms for terra's SpatRaster and SpatVector classes, so spatial objects can be manipulated with dplyr verbs and plotted without conversion. The 1.0.0 release in January 2026 set a hard ggplot2 4.0.0 floor and added broom-style generics — tidy(), glance() and required_pkgs() across SpatRaster, SpatVector, SpatGraticule and SpatExtent. The 1.1.0 and 1.2.0 releases since have filled in the remaining dplyr and tidyr verb surface for SpatVector.
The package is converging on complete verb coverage rather than branching into new capability. 1.2.0 landed the grouping and nesting family — group_split, group_nest, nest_by, nest, nest_join, group_map, group_modify, reframe, cross_join, complete, expand — which is the last large gap between SpatVector and an ordinary data frame. Its cadence is set externally: releases track ggplot2 and dplyr version transitions, adopting arguments like .by as they stabilize upstream. The maintainer now states AI assistance explicitly for both documentation and generated methods.
With the verb surface close to complete, expect the next releases to track upstream ggplot2 and dplyr changes and to extend coverage to SpatRaster where methods currently exist only for SpatVector.
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 tidyterra.
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
A Fortran-descended optimizer got thread-safe, then found two flags that never worked.
ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.
collapse got a JSS paper and a 7x fmean speedup in the same release.
gtsummary is quietly rebuilding itself around analysis results data, one table verb at a time.
broadcast is filling in NumPy-style array broadcasting for R, operator by operator.
See all citeme alternatives → · See all tidyterra alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. citeme and tidyterra 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. citeme and tidyterra 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.
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.
Top tidyterra alternatives in Analytics are ranked by recent ship velocity. Browse the "tidyterra alternatives" section above for the current picks, or visit /alternatives/tidyterra for the full list with editorial commentary on each.