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Comparison · Analytics
mlr3spatial vs taxizedb
A side-by-side editorial comparison of mlr3spatial and taxizedb — release velocity, themes, recent moves, and the top alternatives to consider.
mlr3spatial vs taxizedb: at a glance
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.
What is taxizedb?
Stopped trusting the cloud to prepare its taxonomic databases and does the conversion locally.
taxizedb queries taxonomic databases locally rather than through rate-limited web APIs, which is what makes it usable for millions of name lookups. Version 0.2.0 established the current design: every source stored as SQLite, no credentials or ports needed, plus name-to-ID mapping functions and ports of the core taxize verbs. The most recent release changes how those databases arrive — instead of downloading a preprocessed SQLite file from the cloud, db_download_*() now fetches raw data and converts it locally for every source, because the cloud path kept breaking.
mlr3spatial vs taxizedb: editorial side-by-side
mlr3spatial
0.0ANALYTICS
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.
taxizedb
0.0ANALYTICS
Stopped trusting the cloud to prepare its taxonomic databases and does the conversion locally.
◆ Current state
taxizedb queries taxonomic databases locally rather than through rate-limited web APIs, which is what makes it usable for millions of name lookups. Version 0.2.0 established the current design: every source stored as SQLite, no credentials or ports needed, plus name-to-ID mapping functions and ports of the core taxize verbs. The most recent release changes how those databases arrive — instead of downloading a preprocessed SQLite file from the cloud, db_download_*() now fetches raw data and converts it locally for every source, because the cloud path kept breaking.
◆ Where it's heading
The package is trading convenience for independence. Each release removes another thing that has to be working elsewhere for the package to function: hosted database preparation is gone, and where a provider disappears the package documents it rather than pretending otherwise — db_download_tpl() is now defunct because The Plant List no longer exists, though previously downloaded copies still query fine. Release cadence is slow, with multi-year gaps and a maintainer handover in 2023.
◆ Prediction
Expect further releases to track data sources appearing and disappearing rather than adding features, since that has driven every recent change. Local conversion also shifts cost onto users, so build time and memory for the larger sources are the plausible next thing to need attention.
Alternatives to mlr3spatial and taxizedb
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 taxizedb.
maplegend
The legend engine mapsf spun out, now covering legend types the parent map package can draw.
lang
R help pages translated on demand by whichever LLM you point it at.
mapsf
Thematic mapping in base R that finally got a theming system, then spent two years polishing legends.
qualtRics
qualtRics moved its contact functions onto XM Directory days before the old endpoints died.
fabletools
The tidyverts forecasting core rebuilt model combination on full residual covariance.
See all mlr3spatial alternatives → · See all taxizedb alternatives →
Recent activity from mlr3spatial and taxizedb
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agomlr3spatialpredict_spatial() gains probability predictions
- 9mo agotaxizedbDatabases now built locally from raw data, not the cloud
- 10mo agomlr3spatialCompatibility with mlr3 1.2.0
- 1y agomlr3spatialError on conflicting X/Y columns in sf objects
- 2y agomlr3spatialCompatibility with paradox 1.0.0
- 3y agomlr3spatialUse terra::inMemory() instead of the @ptr slot
- 3y agotaxizedbPatch release for a maintainer change
- 3y agomlr3spatialspatial_predict() accepts stars, sf and Raster* inputs
- 5y agotaxizedbtaxa_at() retrieves ancestors at a named rank
- 5y agotaxizedbFixes failing tests
- 6y agotaxizedbSQLite everywhere, three new sources, taxize verbs ported ⚡
- 9y agotaxizedbTracks the dplyr split that introduced dbplyr
Frequently asked questions
What is the difference between mlr3spatial and taxizedb?
They serve adjacent needs but don't currently overlap on shipped themes. mlr3spatial and taxizedb 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 taxizedb?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3spatial and taxizedb 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 taxizedb?
Top taxizedb alternatives in Analytics are ranked by recent ship velocity. Browse the "taxizedb alternatives" section above for the current picks, or visit /alternatives/taxizedb for the full list with editorial commentary on each.