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crul vs gMCPLite

A side-by-side editorial comparison of crul and gMCPLite — release velocity, themes, recent moves, and the top alternatives to consider.

crul vs gMCPLite: at a glance

FeaturecrulgMCPLite
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeshttp-client, async, mocking, ropenscimultiple-comparisons, clinical-trials, r-language, java-free
Last editorial update42m ago1h ago
WebsiteVisit →Visit →

What is crul?

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.

Read the full crul trajectory →

What is gMCPLite?

gMCPLite exists to be gMCP without Java, and its releases guard that boundary rather than extend it.

gMCPLite is a fork of gMCP with the Java dependency removed and `hGraph()` ported over from gsDesign, giving R users graphical multiple comparison procedures and their visualisation without a JVM. Since that fork, no release has added a statistical capability. The visible history is compatibility work: ggplot2 3.5.0 argument naming, a cairo device for Unicode in examples, testthat 3.3.0 snapshot requirements, and a selective port of an upstream confidence-interval fix.

Read the full gMCPLite trajectory →

crul vs gMCPLite: editorial side-by-side

C
crul
ANALYTICS
0.0

crul took mocking back from webmockr and made it a property of the client itself

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

G
gMCPLite
ANALYTICS
0.0

gMCPLite exists to be gMCP without Java, and its releases guard that boundary rather than extend it.

◆ Current state

gMCPLite is a fork of gMCP with the Java dependency removed and `hGraph()` ported over from gsDesign, giving R users graphical multiple comparison procedures and their visualisation without a JVM. Since that fork, no release has added a statistical capability. The visible history is compatibility work: ggplot2 3.5.0 argument naming, a cairo device for Unicode in examples, testthat 3.3.0 snapshot requirements, and a selective port of an upstream confidence-interval fix.

◆ Where it's heading

This is a package with a fixed job. The maintainers track two moving targets — the upstream gMCP it forked from, and the R graphics and testing stack underneath it — and pull across only what is needed. The addition of vdiffr visual regression tests for `hGraph()` is the most substantive recent change and fits the same posture: the plots are the deliverable, so pin them against accidental drift rather than redesign them.

◆ Prediction

Expect the pattern to continue — compatibility releases driven by ggplot2, testthat and pkgdown changes, with any statistical content arriving only as a selective port from upstream gMCP.

Alternatives to crul and gMCPLite

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 gMCPLite.

See all crul alternatives → · See all gMCPLite alternatives →

Recent activity from crul and gMCPLite

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 5mo agogMCPLiteSnapshot files bundled for testthat 3.3.0
  2. 11mo agogMCPLiteVisual regression tests added for hGraph()
  3. 1y agocrulMocking becomes a client parameter, independent of webmockr
  4. 2y agocrulAsync requests become mockable through webmockr
  5. 2y agocrulDocumentation fixes and test helper tweak
  6. 2y agogMCPLiteConfidence interval fix ported from upstream gMCP
  7. 2y agogMCPLitecairo_pdf device for Unicode in examples
  8. 2y agogMCPLitepkgdown tabset rendering fixed
  9. 3y agocrulHTTP retries reach the async classes
  10. 3y agocrulClearer error for mismatched urls and disk lengths
  11. 3y agogMCPLiteBuild ignores docs; typos corrected
  12. 4y agocrulAsyncQueue gains response accessors; results print as a summary

Frequently asked questions

What is the difference between crul and gMCPLite?

They serve adjacent needs but don't currently overlap on shipped themes. crul and gMCPLite 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 crul better than gMCPLite?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. crul and gMCPLite 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 crul?

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.

What are the best alternatives to gMCPLite?

Top gMCPLite alternatives in Analytics are ranked by recent ship velocity. Browse the "gMCPLite alternatives" section above for the current picks, or visit /alternatives/gmcplite for the full list with editorial commentary on each.