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leaflet vs sparklyr

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

leaflet vs sparklyr: at a glance

Featureleafletsparklyr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmapping, geospatial, sf-migration, licensingspark, databricks, dbplyr-compatibility, maintenance
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is leaflet?

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.

Read the full leaflet trajectory →

What is sparklyr?

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.

Read the full sparklyr trajectory →

leaflet vs sparklyr: editorial side-by-side

L
leaflet
ANALYTICS
0.0

leaflet relicensed to MIT and finished migrating off R's retired spatial stack

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

S
sparklyr
ANALYTICS
0.0

sparklyr now spends its releases absorbing dbplyr changes and feeding pysparklyr

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to leaflet and sparklyr

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.

See all leaflet alternatives → · See all sparklyr alternatives →

Recent activity from leaflet and sparklyr

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

  1. 1mo agosparklyrRestores compatibility after dbplyr changed Hive quoting
  2. 3mo agosparklyrAdds tune_grid_spark() for pysparklyr to implement
  3. 10mo agosparklyrFixes lazy-table field lookup and a name collision
  4. 11mo agoleafletMIT relicensing and sp dropped from default installs
  5. 1y agosparklyrCatches up with released Spark 4.0; ml_load() reads via Spark
  6. 2y agosparklyrDatabricks autoloader streaming ingestion; R 4.4 fixes
  7. 2y agoleafletterra CRS handling fixed; raster images accept layer options
  8. 2y agosparklyrDrops tibble and rappdirs; retires Spark 2.3 JARs
  9. 2y agoleafletProvider tile dependency is cacheable by knitr again
  10. 2y agoleafletAdds terra support and removes rgdal and rgeos
  11. 3y agoleafletUpdates proj4.js and fixes examples to stay on CRAN

Frequently asked questions

What is the difference between leaflet and sparklyr?

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.

Is leaflet better than sparklyr?

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.

What are the best alternatives to leaflet?

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.

What are the best alternatives to sparklyr?

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.