tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
refsplitr vs rlistings
A side-by-side editorial comparison of refsplitr and rlistings — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
refsplitr vs rlistings: at a glance
What is refsplitr?
Author disambiguation for bibliometrics, still grinding on the hard part: which names are the same person.
refsplitr parses Web of Science reference records into tidy data and tries to resolve which author strings belong to the same researcher, then georeferences their institutional addresses for network and map visualizations. The active work is squarely on the disambiguation core: 1.2.3 continues refining the author grouping algorithm and 1.2.1 adjusted ORCID ID matching. Earlier, 1.2.0 replaced the address parsing algorithm and changed the default georeferencing option for author institutions.
What is rlistings?
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
rlistings renders clinical-trial subject listings and paginates them for regulatory output, sitting alongside rtables on the shared formatters engine. The releases in this window are dominated by pagination correctness: repeated key columns across pages, splitting by a variable, ordered-factor handling, column gaps, and font metrics. Development is a large rotating contributor set inside the insightsengineering organisation.
refsplitr vs rlistings: editorial side-by-side
refsplitr
5.0ANALYTICS
Author disambiguation for bibliometrics, still grinding on the hard part: which names are the same person.
◆ Current state
refsplitr parses Web of Science reference records into tidy data and tries to resolve which author strings belong to the same researcher, then georeferences their institutional addresses for network and map visualizations. The active work is squarely on the disambiguation core: 1.2.3 continues refining the author grouping algorithm and 1.2.1 adjusted ORCID ID matching. Earlier, 1.2.0 replaced the address parsing algorithm and changed the default georeferencing option for author institutions.
◆ Where it's heading
Development has narrowed to the two operations that determine whether the output is usable — grouping author name variants and resolving addresses to coordinates. Everything else has been shedding: the maptools dependency was removed once that package was deprecated, and visualization changes are mostly about surfacing records the pipeline could not resolve, as with plot_net_country() returning fixable_countries so users can correct and rerun. Release notes are terse and defer to NEWS, so the changelog itself carries little detail.
◆ Prediction
Expect further incremental passes on author grouping and ORCID matching rather than new outputs; that algorithm is the package's accuracy ceiling and the last several releases have all touched it.
rlistings
0.0ANALYTICS
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
◆ Current state
rlistings renders clinical-trial subject listings and paginates them for regulatory output, sitting alongside rtables on the shared formatters engine. The releases in this window are dominated by pagination correctness: repeated key columns across pages, splitting by a variable, ordered-factor handling, column gaps, and font metrics. Development is a large rotating contributor set inside the insightsengineering organisation.
◆ Where it's heading
The package is progressively delegating pagination to formatters rather than implementing it — paginate_listing() was refactored to call formatters' paginate_to_mpfs() directly, and truetype font support arrived through a new formatters API. That reduces duplicated logic but ties the package's page-break behaviour to a dependency it shares with rtables. Feature work beyond pagination is thin: better error messages for unsupported column classes, a cheatsheet.
◆ Prediction
Expect pagination fidelity to remain the focus, with changes arriving as formatters exposes more of its layout machinery rather than as rlistings-native features.
Alternatives to refsplitr and rlistings
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 refsplitr or rlistings.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
hoardr
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
datasetjson
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
See all refsplitr alternatives → · See all rlistings alternatives →
Recent activity from refsplitr and rlistings
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 28d agorefsplitrFurther refinement of the author grouping algorithm
- 29d agorefsplitrMinor fixes and ORCID matching edits
- 1y agorefsplitrNew address parsing algorithm, changed georeferencing default
- 1y agorlistingsError and message handling for difftime and zero-row listings
- 1y agorlistingsTrueType font support and col_gap in pagination
- 2y agorefsplitrUnresolved countries surfaced, maptools dependency dropped
- 2y agorlistingssplit_into_pages_by_var() and pagination moved onto formatters
- 6y agorefsplitrrOpenSci release v0.9.0
Frequently asked questions
What is the difference between refsplitr and rlistings?
Both compete on the same themes — r-package — within Analytics. refsplitr is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is refsplitr better than rlistings?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. refsplitr is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to refsplitr?
Top refsplitr alternatives in Analytics are ranked by recent ship velocity. Browse the "refsplitr alternatives" section above for the current picks, or visit /alternatives/refsplitr for the full list with editorial commentary on each.
What are the best alternatives to rlistings?
Top rlistings alternatives in Analytics are ranked by recent ship velocity. Browse the "rlistings alternatives" section above for the current picks, or visit /alternatives/rlistings for the full list with editorial commentary on each.