Theme · updated weekly

R Stats in Analytics — SaaS tools & trends 2026

23 products Sparkpulse tracks are shipping around r stats in Analytics. The highest-velocity r stats products right now are loo, mlr3mbo and datawizard (ranked by Sparkpulse's velocity score). The theme runs across 3 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 r stats across all sectors →

Products shipping around r stats

#01looloo keeps rewriting the diagnostics Bayesian modellers read off model comparison2.5alternatives →

#02mlr3mbomlr3mbo picked its defaults from a benchmark study, not from taste2.5alternatives →

#03datawizarddatawizard is turning easystats' data layer into a general-purpose I/O and reshaping tool0.0alternatives →

#04dialsdials is quietly registering the tuning parameters for tidymodels' deep-learning push0.0alternatives →

#05mlr3learnersmlr3learners spends its releases absorbing upstream churn0.0alternatives →

#06hardhathardhat keeps adding the contracts tidymodels needs next0.0alternatives →

#07censoredcensored keeps survival models aligned with parsnip's shifting prediction contracts0.0alternatives →

#08mlr3filtersmlr3filters grows one feature-selection filter at a time0.0alternatives →

#09bayestestRBayesian diagnostics get stricter defaults while the Stan backend list widens0.0alternatives →

#10insightinsight quietly widens the set of model objects the easystats ecosystem can read0.0alternatives →

#11mlr3clustermlr3cluster went from a handful of clusterers to covering the field0.0alternatives →

#12ggeffectsggeffects hands its contrast engine to modelbased and keeps the interface0.0alternatives →

#13mlr3measuresmlr3measures is systematically retrofitting sample weights across every metric0.0alternatives →

#14limelime survives on compatibility patches years after its research moment0.0alternatives →

#15forecastAfter years of pure maintenance, forecast 9.0.0 reopens the package0.0alternatives →

#16mlr3fselectmlr3fselect turned feature selection into an asynchronous, distributable job0.0alternatives →

#17fablefable keeps widening its model shelf, one econometric class at a time0.0alternatives →

#18gganimategganimate is in caretaker mode, tracking ggplot2 and little else0.0alternatives →

#19butcherbutcher expands from trimming models to trimming whole tidymodels workflows0.0alternatives →

#20feastsfeasts is splitting itself in two, moving every plot into ggtime0.0alternatives →

#21ggraphggraph has settled into ggplot2 compatibility duty0.0alternatives →

#22ggspatialggspatial finishes its move off raster and onto terra0.0alternatives →

#23gutenbergrgutenbergr has been rebuilt around caching and mirror resilience0.0alternatives →

Frequently asked questions about r stats

Which SaaS tools ship r stats in Analytics in 2026?

loo, mlr3mbo, datawizard, dials, mlr3learners, and 18 more — the r stats products Sparkpulse tracks in Analytics, ranked by shipping velocity from verified changelogs.

Which r stats product has the highest shipping velocity?

loo, 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 r stats?

Sparkpulse currently tracks 23 products carrying the r stats theme in Analytics, updated continuously from verified release data.