tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
giscoR vs webmockr
A side-by-side editorial comparison of giscoR and webmockr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:ropenscihttr2
giscoR vs webmockr: at a glance
What is giscoR?
giscoR's 1.0 moved its dataset index into the cache, so new Eurostat releases arrive without a package update.
giscoR downloads Eurostat GISCO administrative and statistical geodata — countries, NUTS regions, LAUs, urban audit units — as sf objects. The 1.0.0 release in December 2025 rebuilt the package on httr2, preferred GeoPackage downloads, reorganised the cache into topic folders, and moved the dataset database itself into the cache so it can be refreshed independently. Releases since have been a cache-persistence fix, a configurable timeout and an internals refactor.
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.
giscoR vs webmockr: editorial side-by-side
giscoR
0.0ANALYTICS
giscoR's 1.0 moved its dataset index into the cache, so new Eurostat releases arrive without a package update.
◆ Current state
giscoR downloads Eurostat GISCO administrative and statistical geodata — countries, NUTS regions, LAUs, urban audit units — as sf objects. The 1.0.0 release in December 2025 rebuilt the package on httr2, preferred GeoPackage downloads, reorganised the cache into topic folders, and moved the dataset database itself into the cache so it can be refreshed independently. Releases since have been a cache-persistence fix, a configurable timeout and an internals refactor.
◆ Where it's heading
The package is decoupling itself from Eurostat's publication calendar. Historically each new GISCO vintage required a release that bumped default years and rebuilt an internal dataset; after 1.0.0 a user can call gisco_get_cached_db(update_cache = TRUE) and reach new data without waiting. The follow-up releases are consistent with a project in consolidation — fixing the cache it just introduced, exposing a timeout for slow downloads, and tidying internals.
◆ Prediction
With the database now self-updating, expect releases to shift toward download reliability and new GISCO endpoints rather than annual dataset bumps; the timeout option in 1.1.0 suggests large downloads are the current pain point.
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 giscoR 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 giscoR or webmockr.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
rlistings
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
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.
See all giscoR alternatives → · See all webmockr alternatives →
Recent activity from giscoR and webmockr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agogiscoRInternal refactor with faster mocked tests
- 4mo agogiscoRDownload timeout becomes configurable
- 6mo agogiscoRCache persistence fixed; urban audit defaults to 2024
- 7mo agogiscoR1.0 caches the dataset index so new vintages need no release ⚡
- 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 agogiscoRSource filtering fixed in gisco_get_lau()
- 1y agogiscoR2024 datasets and year arguments for education and healthcare
- 2y agowebmockrhttr2 joins httr and crul as a supported client ⚡
- 3y agowebmockrQueued responses, body matching and integer status codes fixed
- 3y agowebmockrRegex URI matching fixed
Frequently asked questions
What is the difference between giscoR and webmockr?
Both compete on the same themes — ropensci, httr2 — within Analytics. giscoR 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 giscoR better than webmockr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. giscoR 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 giscoR?
Top giscoR alternatives in Analytics are ranked by recent ship velocity. Browse the "giscoR alternatives" section above for the current picks, or visit /alternatives/giscor 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.