Theme · updated weekly

Tidyverse in Analytics — SaaS tools & trends 2026

20 products Sparkpulse tracks are shipping around tidyverse in Analytics. The highest-velocity tidyverse products right now are rstatix, dbplyr and TidyDensity (ranked by Sparkpulse's velocity score). The theme runs across 5 sectors, so the momentum you see here is drawn from products competing in different corners of the market. Their velocity scores span 0.0 to 2.5 out of 10, a spread that shows how unevenly shipping cadence is distributed across the field. Below: every tracked product carrying this theme, updated from release data. Everything on this page is regenerated from verified release data, so the ranking reflects the latest changelogs rather than a static list.

Scoped to Analytics. View tidyverse across all sectors →

Products shipping around tidyverse

#02dbplyrdbplyr ends its two-year backend migration by dropping 1st edition support outright0.0alternatives →
#09sliderFeature-complete since 2021, and every release since has been paying CRAN's C API bill0.0alternatives →
#12labelledThe bridge between Stata/SPSS labelled data and tidy R keeps widening, one integration at a time.0.0alternatives →
#17incaseA safer case_when that keeps hardening its guarantees while realigning to tidyverse naming.0.0alternatives →
#20mutagenA young package porting Stata's egen row-wise helpers to the tidyverse, one function per release0.0alternatives →

Frequently asked questions about tidyverse

Which SaaS tools ship tidyverse in Analytics in 2026?

rstatix, dbplyr, TidyDensity, lazyeval, RandomWalker, and 15 more — the tidyverse products Sparkpulse tracks in Analytics, ranked by shipping velocity from verified changelogs.

Which tidyverse product has the highest shipping velocity?

rstatix, with the top velocity score (2.5/10) in Analytics — Sparkpulse's velocity score is derived from verified release data.

How many products are shipping around tidyverse?

Sparkpulse currently tracks 20 products carrying the tidyverse theme in Analytics, updated continuously from verified release data.