tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
rlistings vs webmockr
A side-by-side editorial comparison of rlistings and webmockr — release velocity, themes, recent moves, and the top alternatives to consider.
rlistings vs webmockr: at a glance
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.
What is webmockr?
The stubbing library added httr2 support, then spent a year cutting itself free of everything else
webmockr intercepts HTTP requests in R tests and returns stubbed responses, and since 1.0.0 it covers all three clients that matter — httr, httr2 and crul. The releases through 2025 have been about shedding dependencies: internal R6 classes unexported in 2.1.0, crul demoted from Imports to Suggests in the same release, and the mutual dependency with vcr severed in 2.2.0. The package now installs and runs without pulling in the rest of the rOpenSci HTTP stack.
rlistings vs webmockr: editorial side-by-side
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.
webmockr
0.0ANALYTICS
The stubbing library added httr2 support, then spent a year cutting itself free of everything else
◆ Current state
webmockr intercepts HTTP requests in R tests and returns stubbed responses, and since 1.0.0 it covers all three clients that matter — httr, httr2 and crul. The releases through 2025 have been about shedding dependencies: internal R6 classes unexported in 2.1.0, crul demoted from Imports to Suggests in the same release, and the mutual dependency with vcr severed in 2.2.0. The package now installs and runs without pulling in the rest of the rOpenSci HTTP stack.
◆ Where it's heading
Two arcs run in sequence. The first is coverage — multiple queued responses in 0.7.0, basic auth mocking, async through crul, then httr2 — building out what can be stubbed. The second, starting with 2.0.0, is correctness and independence: stubs are now deleted if an error occurs mid-construction rather than lingering half-built, partial matching arrives for bodies and queries, and the dependency graph is pruned release by release. The 2.2.0 split from vcr landed within a minute of crul's release taking mocking control into its own clients.
◆ Prediction
RequestPattern is documented as still exported in 2.1.0 but slated for removal, so the next major release is where that lands. Expect continued dependency pruning rather than new client support — the three clients that exist are already covered.
Alternatives to rlistings and webmockr
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 rlistings or webmockr.
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 rlistings alternatives → · See all webmockr alternatives →
Recent activity from rlistings and webmockr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agowebmockrvcr dependency severed
- 1y agowebmockrInternal classes unexported; crul becomes an optional dependency
- 1y agowebmockrFailed stub construction cleans up; partial matching extends to bodies and queries
- 1y agorlistingsError and message handling for difftime and zero-row listings
- 1y agorlistingsTrueType font support and col_gap in pagination
- 2y agowebmockrhttr2 joins httr and crul as a supported client ⚡
- 2y agorlistingssplit_into_pages_by_var() and pagination moved onto formatters
- 3y agowebmockrQueued responses, body matching and integer status codes fixed
- 3y agowebmockrRegex URI matching fixed
Frequently asked questions
What is the difference between rlistings and webmockr?
They serve adjacent needs but don't currently overlap on shipped themes. rlistings and webmockr 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 rlistings better than webmockr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rlistings and webmockr 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 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.
What are the best alternatives to webmockr?
Top webmockr alternatives in Analytics are ranked by recent ship velocity. Browse the "webmockr alternatives" section above for the current picks, or visit /alternatives/webmockr for the full list with editorial commentary on each.