easystats
The easystats meta-package is install tooling wrapped around a relicensed ecosystem.
A side-by-side editorial comparison of leaflet and sparklyr — release velocity, themes, recent moves, and the top alternatives to consider.
leaflet relicensed to MIT and finished migrating off R's retired spatial stack
leaflet is the R binding for the Leaflet mapping library. Its recent releases are dominated by one long migration: away from sp, rgdal, rgeos and raster, and toward sf and terra. Version 2.2.3 completed the user-facing half of that - sp is no longer installed by default, and bundled datasets ship as sf objects - while also relicensing the package from GPL-2 to MIT.
sparklyr now spends its releases absorbing dbplyr changes and feeding pysparklyr
sparklyr connects R to Spark, and almost nothing in this window originates inside the package. Releases restore compatibility after dbplyr changes its SQL generation, adapt to Spark 4.0 and to R 4.4's version-comparison changes, and convert functions into S3 methods so pysparklyr can supply its own implementations.
leaflet is the R binding for the Leaflet mapping library. Its recent releases are dominated by one long migration: away from sp, rgdal, rgeos and raster, and toward sf and terra. Version 2.2.3 completed the user-facing half of that - sp is no longer installed by default, and bundled datasets ship as sf objects - while also relicensing the package from GPL-2 to MIT.
This is a package being brought into line with an ecosystem that changed underneath it. The retirement of rgdal and rgeos forced the terra and sf work; the license change and dependency reductions are the maintainers taking the opportunity to clean up while they are already in there. Feature work, such as the full viridisLite palette set, arrives as a side effect of the tidying.
With the sp path now opt-in and the retired geospatial dependencies gone, expect the remaining work to be small: palette and provider-tile handling, and keeping the bundled JavaScript current.
sparklyr connects R to Spark, and almost nothing in this window originates inside the package. Releases restore compatibility after dbplyr changes its SQL generation, adapt to Spark 4.0 and to R 4.4's version-comparison changes, and convert functions into S3 methods so pysparklyr can supply its own implementations.
Two dependencies set the agenda. dbplyr repeatedly changes identifier quoting and lazy-table internals, and each change costs sparklyr a release. Meanwhile the package is being hollowed into a backend: ml_fit(), spark_apply(), spark_write_delta() and now tune_grid_spark() exist as methods so that pysparklyr, the Databricks Connect path, can override them. Dependency removal - tibble, rappdirs, digest - runs alongside as the package slims down.
Expect the next releases to continue tracking dbplyr and Spark versions, and more functions to be converted to methods as functionality shifts toward pysparklyr; new capability arriving in sparklyr itself looks unlikely.
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 leaflet or sparklyr.
The easystats meta-package is install tooling wrapped around a relicensed ecosystem.
discrim settled into a thin engine shim after handing its model definitions to parsnip.
dbparser shed its database and CSV writers to become just a DrugBank parser.
desirability2 is making multi-metric model selection a first-class tidymodels step.
crosstalk is frozen infrastructure: four releases in five years, mostly CRAN upkeep.
cmdstanr keeps adding fast approximations beside full HMC, and fighting Windows toolchains.
See all leaflet alternatives → · See all sparklyr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. leaflet and sparklyr 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. leaflet and sparklyr 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.
Top leaflet alternatives in Analytics are ranked by recent ship velocity. Browse the "leaflet alternatives" section above for the current picks, or visit /alternatives/leaflet-r for the full list with editorial commentary on each.
Top sparklyr alternatives in Analytics are ranked by recent ship velocity. Browse the "sparklyr alternatives" section above for the current picks, or visit /alternatives/sparklyr for the full list with editorial commentary on each.