tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of crul and tidymodels — release velocity, themes, recent moves, and the top alternatives to consider.
crul took mocking back from webmockr and made it a property of the client itself
crul is the R6-based HTTP client underneath much of rOpenSci's package stack, covering synchronous requests, three flavours of async, pagination and retries. Its 1.6.0 release in July 2025 changed where test mocking lives: each client — HttpClient, Async, AsyncVaried — now takes a mocking parameter at initialisation or per method, and the standalone mock() function is deprecated. Mocking used to be something webmockr switched on from outside; it is now a setting on the client.
The meta-package ships almost nothing, which is exactly what a version-pinning shim should do
The tidymodels package is a loader and version pin for the modeling framework's core set rather than a place where features live. Its entire changelog consists of updated dependency versions, adjustments to how tidymodels_prefer() resolves name conflicts against other packages, and the occasional addition of a package to the core set — workflowsets in 0.1.3, tailor in 1.4.0. The most recent releases moved the package's own code from the magrittr pipe to R's base pipe and patched a bug where some attached packages were omitted.
crul is the R6-based HTTP client underneath much of rOpenSci's package stack, covering synchronous requests, three flavours of async, pagination and retries. Its 1.6.0 release in July 2025 changed where test mocking lives: each client — HttpClient, Async, AsyncVaried — now takes a mocking parameter at initialisation or per method, and the standalone mock() function is deprecated. Mocking used to be something webmockr switched on from outside; it is now a setting on the client.
The async surface has been the growth area for years — retries reached Async, AsyncVaried, AsyncQueue and HttpRequest in 1.4, AsyncQueue gained the response accessors in 1.2, and 1.5.0 wired async requests up to webmockr. The 1.6.0 change reverses that direction of dependency, and it landed within a minute of webmockr's own release severing its tie to vcr. Read together, the rOpenSci HTTP stack is being deliberately untangled so each package can be used without the others.
With mock() deprecated rather than removed, the next major release is the likely point of deletion. Expect the remaining work to follow the same decoupling theme rather than adding request features.
The tidymodels package is a loader and version pin for the modeling framework's core set rather than a place where features live. Its entire changelog consists of updated dependency versions, adjustments to how tidymodels_prefer() resolves name conflicts against other packages, and the occasional addition of a package to the core set — workflowsets in 0.1.3, tailor in 1.4.0. The most recent releases moved the package's own code from the magrittr pipe to R's base pipe and patched a bug where some attached packages were omitted.
Release cadence tracks the ecosystem rather than any roadmap of its own: a version bump when member packages release, a tidymodels_prefer() rule when a new conflict appears — DALEX::explains() over dplyr::explains(), recipes::update() over other update() methods. Additions to the core set are the only structurally interesting events, and there have been two in seven releases. Everything else is plumbing that exists so a single library() call attaches a consistent set of versions.
The next release will most likely be another version-set update, with any new core package the only thing worth noting. Feature news for this framework will keep arriving in the member packages, not here.
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 crul or tidymodels.
A tables-listings-graphs package that reached CRAN and then went quiet.
Tplyr made clinical summary tables explain where every number came from.
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
See all crul alternatives → · See all tidymodels alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. crul and tidymodels 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. crul and tidymodels 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 crul alternatives in Analytics are ranked by recent ship velocity. Browse the "crul alternatives" section above for the current picks, or visit /alternatives/crul for the full list with editorial commentary on each.
Top tidymodels alternatives in Analytics are ranked by recent ship velocity. Browse the "tidymodels alternatives" section above for the current picks, or visit /alternatives/tidymodels for the full list with editorial commentary on each.