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mlr3spatial vs ymlthis

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

mlr3spatial vs ymlthis: at a glance

Featuremlr3spatialymlthis
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmlr3, spatial, raster, predictionr-markdown, yaml, retirement, quarto
Last editorial update6h 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 ymlthis?

ymlthis retired itself, naming Quarto as the reason it no longer needs to exist.

ymlthis built R Markdown YAML front matter programmatically — a fluent `yml_*()` interface plus RStudio add-ins, so users did not have to hand-write metadata blocks whose valid fields were scattered across output-format documentation. Version 1.0.0 declares the package retired, with only CRAN-preserving changes to follow, and states the reason plainly: Quarto now provides good YAML support.

Read the full ymlthis trajectory →

mlr3spatial vs ymlthis: 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.

Y
ymlthis
ANALYTICS
0.0

ymlthis retired itself, naming Quarto as the reason it no longer needs to exist.

◆ Current state

ymlthis built R Markdown YAML front matter programmatically — a fluent `yml_*()` interface plus RStudio add-ins, so users did not have to hand-write metadata blocks whose valid fields were scattered across output-format documentation. Version 1.0.0 declares the package retired, with only CRAN-preserving changes to follow, and states the reason plainly: Quarto now provides good YAML support.

◆ Where it's heading

The retirement is the endpoint of a long drift. Between 2020 and 2022 every release was reactive — patching around a crayon update that mangled rendered YAML, tracking shiny 1.6, following roxygen2 7.0.0, fixing a typo in an add-in. No new capability has landed in six years, and the four-year gap before 1.0.0 had already answered the question the release note finally makes explicit.

◆ Prediction

Nothing further of substance is expected — the stated policy is changes only where CRAN requires them, so the next release, if any, will be a compatibility patch.

Alternatives to mlr3spatial and ymlthis

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 ymlthis.

See all mlr3spatial alternatives → · See all ymlthis alternatives →

Recent activity from mlr3spatial and ymlthis

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

  1. 1mo agomlr3spatialpredict_spatial() gains probability predictions
  2. 5mo agoymlthisymlthis retired; Quarto covers the need
  3. 10mo agomlr3spatialCompatibility with mlr3 1.2.0
  4. 1y agomlr3spatialError on conflicting X/Y columns in sf objects
  5. 2y agomlr3spatialCompatibility with paradox 1.0.0
  6. 3y agomlr3spatialUse terra::inMemory() instead of the @ptr slot
  7. 3y agomlr3spatialspatial_predict() accepts stars, sf and Raster* inputs
  8. 4y agoymlthisTypo fixed in the miniUI add-in check
  9. 4y agoymlthisyml_author() accepts yml_blank(); shiny fixes
  10. 4y agoymlthisciteproc handling moved to newer rmarkdown functions
  11. 5y agoymlthisPatched a crayon update that mangled rendered YAML
  12. 5y agoymlthisAdjustments for shiny 1.6

Frequently asked questions

What is the difference between mlr3spatial and ymlthis?

They serve adjacent needs but don't currently overlap on shipped themes. mlr3spatial and ymlthis 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 ymlthis?

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

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