HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
Comparison · Infra & APIs
driveR vs geocomplexity
A side-by-side editorial comparison of driveR and geocomplexity — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
driveR vs geocomplexity: at a glance
What is driveR?
A cancer driver prioritization package that ships rarely and mostly to stay installable
driveR prioritizes cancer driver genes from somatic variant and copy number data, combining coding impact scores, noncoding impact, copy number alteration scores and hotspot annotations into a multi-task learning classification model. Version 0.5.0 added gene-level SCNA data frames as an accepted input to create_features_df(), with an example table shipped alongside, widening the entry point beyond the segment-level format. The same release moved org.Hs.eg.db and both hg19 and hg38 TxDb annotation packages from Imports to Suggests under new CRAN policy, with dependent functions now raising an error when they are absent rather than silently degrading.
What is geocomplexity?
A spatial complexity package that shipped its method, then went quiet
geocomplexity computes geographical complexity from spatial dependence and configuration similarity across both vector and raster data, and uses it to build spatial weight matrices and a complexity-aware geographically weighted regression. That capability arrived complete in the 0.1.0 release of September 2024. The three releases since contain no functional change: a citation file, a dependency trim, one function moved out to a sibling package, and a maintainer surname correction.
driveR vs geocomplexity: editorial side-by-side
driveR
0.0INFRA · APIS
A cancer driver prioritization package that ships rarely and mostly to stay installable
◆ Current state
driveR prioritizes cancer driver genes from somatic variant and copy number data, combining coding impact scores, noncoding impact, copy number alteration scores and hotspot annotations into a multi-task learning classification model. Version 0.5.0 added gene-level SCNA data frames as an accepted input to create_features_df(), with an example table shipped alongside, widening the entry point beyond the segment-level format. The same release moved org.Hs.eg.db and both hg19 and hg38 TxDb annotation packages from Imports to Suggests under new CRAN policy, with dependent functions now raising an error when they are absent rather than silently degrading.
◆ Where it's heading
Releases are infrequent and split cleanly between capability and correction. GRCh38 support arrived in 0.4.0 and cancer-type-specific thresholds were refreshed in 0.3.0, while the 0.2.x pair fixed scoring errors serious enough to require retraining: a column name mismatch meant the SCNA score was not being computed at all, and MCR table coordinates needed converting from hg18 to hg19. Both times the bundled classification model and thresholds were rebuilt as a consequence. Since 0.4.0 the changes have been input handling and packaging rather than method.
◆ Prediction
The move of the annotation databases to Suggests suggests a leaner install is the current priority; the entries give no indication of planned model or scoring changes.
geocomplexity
0.0INFRA · APIS
A spatial complexity package that shipped its method, then went quiet
◆ Current state
geocomplexity computes geographical complexity from spatial dependence and configuration similarity across both vector and raster data, and uses it to build spatial weight matrices and a complexity-aware geographically weighted regression. That capability arrived complete in the 0.1.0 release of September 2024. The three releases since contain no functional change: a citation file, a dependency trim, one function moved out to a sibling package, and a maintainer surname correction.
◆ Where it's heading
The package sits inside Wenbo Lyu's spatial statistics family, where shared functionality migrates into the common sdsfun package rather than being duplicated across dependents. moran_test left geocomplexity for sdsfun in 0.2.0, which is the same consolidation pattern visible across the author's other packages. What remains here is the method-specific surface, and it has not changed in eighteen months.
◆ Prediction
The entries give no signal of planned functional work; on this pattern the next release is as likely to be metadata or another function migration to sdsfun as anything user-visible.
Alternatives to driveR and geocomplexity
Other Infra & APIs 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 driveR or geocomplexity.
bsvarSIGNs
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
estimatr
Fast design-based estimators for experiments, coasting on CRAN patches.
ggdist
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
ipaddress
IP address vectors for R that hit 1.0 and then went quiet.
ltertools
A column-key toolkit for stitching decades of ecological field data into one table.
See all driveR alternatives → · See all geocomplexity alternatives →
Recent activity from driveR and geocomplexity
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agogeocomplexityMaintainer surname spelling corrected for pinyin compliance
- 7mo agodriveRGene-level copy number input accepted, annotation packages made optional
- 1y agogeocomplexityPackage citation added
- 1y agogeocomplexitymoran_test migrates out to the shared sdsfun package
- 1y agogeocomplexityGeographical complexity measures and complexity-weighted GWR
- 3y agodriveRCRAN documentation error fixed
- 4y agodriveRGRCh38 genome build supported
- 4y agodriveRCancer-type-specific thresholds updated
- 5y agodriveRMCR coordinates converted to hg19 and the model retrained
- 5y agodriveRCopy number score was never being computed, model rebuilt
Frequently asked questions
What is the difference between driveR and geocomplexity?
Both compete on the same themes — r-package — within Infra & APIs. driveR and geocomplexity 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 driveR better than geocomplexity?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. driveR and geocomplexity 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to driveR?
Top driveR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "driveR alternatives" section above for the current picks, or visit /alternatives/driver for the full list with editorial commentary on each.
What are the best alternatives to geocomplexity?
Top geocomplexity alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "geocomplexity alternatives" section above for the current picks, or visit /alternatives/geocomplexity for the full list with editorial commentary on each.