leaflet
leaflet relicensed to MIT and finished migrating off R's retired spatial stack
Comparison · Analytics
embed vs haven
A side-by-side editorial comparison of embed and haven — release velocity, themes, recent moves, and the top alternatives to consider.
embed vs haven: at a glance
What is embed?
embed keeps adding encoding steps while shedding its deep-learning dependencies
embed supplies recipes steps that turn categorical predictors into numeric representations — likelihood encoding, UMAP projection, string-distance collapsing. The 1.1.x line made UMAP arguments tunable and moved keras and tensorflow out of hard dependencies; 1.2.0 added analytical likelihood encoding with partial pooling and retired step_feature_hash() in favor of textrecipes.
What is haven?
haven's release cadence has narrowed to compiler and R-devel upkeep.
haven is the tidyverse's bridge to SPSS, Stata and SAS files, wrapping the C ReadStat library. The last several releases are almost entirely maintenance: syncing vendored ReadStat and patching ahead of R-devel changes. The most recent substantive user-facing work landed in 2.5.2 and earlier.
embed vs haven: editorial side-by-side
embed
0.0ANALYTICS
embed keeps adding encoding steps while shedding its deep-learning dependencies
◆ Current state
embed supplies recipes steps that turn categorical predictors into numeric representations — likelihood encoding, UMAP projection, string-distance collapsing. The 1.1.x line made UMAP arguments tunable and moved keras and tensorflow out of hard dependencies; 1.2.0 added analytical likelihood encoding with partial pooling and retired step_feature_hash() in favor of textrecipes.
◆ Where it's heading
Two quiet directions run through these releases. One is making the steps tunable rather than fixed, so they participate properly in tidymodels grids. The other is boundary maintenance: heavy dependencies pushed to Suggests, overlapping steps handed to the package that owns them. Recent releases are thin and fix-driven.
◆ Prediction
Expect further consolidation with textrecipes over which package owns which encoding step, and continued upkeep against xgboost and uwot releases rather than new step families.
haven
0.0ANALYTICS
haven's release cadence has narrowed to compiler and R-devel upkeep.
◆ Current state
haven is the tidyverse's bridge to SPSS, Stata and SAS files, wrapping the C ReadStat library. The last several releases are almost entirely maintenance: syncing vendored ReadStat and patching ahead of R-devel changes. The most recent substantive user-facing work landed in 2.5.2 and earlier.
◆ Where it's heading
Development has shifted from extending the file-format surface to keeping a C dependency compiling against newer toolchains. The deprecation of write_sas() narrowed that surface deliberately, steering users to write_xpt() because the sas7bdat format is undocumented and unsupported upstream.
◆ Prediction
Expect further ReadStat sync releases triggered by compiler or R-devel breakage rather than new format support or writing features.
Alternatives to embed and haven
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 embed or haven.
ggpubr
ggpubr reached 1.0.0 with p-value formatting presets for specific journals
bigrquery
bigrquery went MIT, then handed its slowest path to the BigQuery Storage API
sparklyr
sparklyr now spends its releases absorbing dbplyr changes and feeding pysparklyr
Seurat
Seurat's centre of gravity has moved from single cells to spatial data and on-disk matrices
insight
insight quietly widens the set of model objects the easystats ecosystem can read
Recent activity from embed and haven
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agoembedstep_umap() zero-component bug fixed
- 8mo agoembedCompatibility with all xgboost versions
- 11mo agoembedstep_lencode() adds analytical likelihood encoding with pooling
- 1y agohavenhaven 2.5.5 syncs ReadStat for stricter gcc diagnostics
- 1y agoembedUMAP initial and target_weight become tunable
- 2y agoembedkeras and tensorflow moved to Suggests
- 2y agohavenhaven 2.5.4 patches for an upcoming R-devel change
- 2y agoembedstep_collapse_stringdist() returns factors
- 3y agohavenhaven 2.5.3 patches for an upcoming R-devel change
- 3y agohavenhaven 2.5.2 fixes SAS catalog reads and deprecates write_sas()
- 3y agohavenhaven 2.5.1 aligns labelled headers and fixes name repair
- 4y agohavenhaven 2.5.0 adds custom variable widths when writing files
Frequently asked questions
What is the difference between embed and haven?
They serve adjacent needs but don't currently overlap on shipped themes. embed and haven 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 embed better than haven?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. embed and haven 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 embed?
Top embed alternatives in Analytics are ranked by recent ship velocity. Browse the "embed alternatives" section above for the current picks, or visit /alternatives/embed for the full list with editorial commentary on each.
What are the best alternatives to haven?
Top haven alternatives in Analytics are ranked by recent ship velocity. Browse the "haven alternatives" section above for the current picks, or visit /alternatives/haven for the full list with editorial commentary on each.