← Back to home
Comparison · Analytics

mlr3spatial vs webmockr

A side-by-side editorial comparison of mlr3spatial and webmockr — release velocity, themes, recent moves, and the top alternatives to consider.

mlr3spatial vs webmockr: at a glance

Featuremlr3spatialwebmockr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmlr3, spatial, raster, predictionhttp-mocking, testing, httr2, ropensci
Last editorial update7h ago1h ago
WebsiteVisit →Visit →

What is mlr3spatial?

Raster prediction in mlr3 finally returns class probabilities, not just hard labels.

mlr3spatial connects mlr3 learners to raster and vector spatial data, handling chunked prediction over large rasters through DataBackendRaster. Development is slow and fix-heavy: most releases in the last two years were compatibility work against mlr3 and paradox rather than new capability. 0.7.0 is the exception.

Read the full mlr3spatial trajectory →

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.

Read the full webmockr trajectory →

mlr3spatial vs webmockr: editorial side-by-side

M
mlr3spatial
ANALYTICS
0.0

Raster prediction in mlr3 finally returns class probabilities, not just hard labels.

◆ Current state

mlr3spatial connects mlr3 learners to raster and vector spatial data, handling chunked prediction over large rasters through DataBackendRaster. Development is slow and fix-heavy: most releases in the last two years were compatibility work against mlr3 and paradox rather than new capability. 0.7.0 is the exception.

◆ Where it's heading

The package tracks the mlr3 core rather than leading it — 0.5.0 and 0.6.1 exist to absorb upstream changes in paradox and mlr3. Against that background, 0.7.0 adding probability predictions to predict_spatial() is the first genuine capability increase in a while, arriving alongside two DataBackendRaster fixes for multi-band sources and similarly-named layers. Cadence is roughly one release per year.

◆ Prediction

Given the pattern, the next release is more likely to be compatibility work against a new mlr3 or terra version than another feature; further raster-backend edge cases around layer naming are the visible loose end.

W
webmockr
ANALYTICS
0.0

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 mlr3spatial 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 mlr3spatial or webmockr.

See all mlr3spatial alternatives → · See all webmockr alternatives →

Recent activity from mlr3spatial and webmockr

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

  1. 1mo agomlr3spatialpredict_spatial() gains probability predictions
  2. 10mo agomlr3spatialCompatibility with mlr3 1.2.0
  3. 1y agowebmockrvcr dependency severed
  4. 1y agomlr3spatialError on conflicting X/Y columns in sf objects
  5. 1y agowebmockrInternal classes unexported; crul becomes an optional dependency
  6. 1y agowebmockrFailed stub construction cleans up; partial matching extends to bodies and queries
  7. 2y agowebmockrhttr2 joins httr and crul as a supported client
  8. 2y agomlr3spatialCompatibility with paradox 1.0.0
  9. 3y agomlr3spatialUse terra::inMemory() instead of the @ptr slot
  10. 3y agowebmockrQueued responses, body matching and integer status codes fixed
  11. 3y agomlr3spatialspatial_predict() accepts stars, sf and Raster* inputs
  12. 3y agowebmockrRegex URI matching fixed

Frequently asked questions

What is the difference between mlr3spatial and webmockr?

They serve adjacent needs but don't currently overlap on shipped themes. mlr3spatial 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 mlr3spatial better than webmockr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3spatial 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 mlr3spatial?

Top mlr3spatial alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3spatial alternatives" section above for the current picks, or visit /alternatives/mlr3spatial 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.