rjdqa
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
A side-by-side editorial comparison of spatstat.random and textplot — release velocity, themes, recent moves, and the top alternatives to consider.
spatstat's simulation engine pushes point process generation into three dimensions
spatstat.random generates random point patterns and simulates point process models for the spatstat family. Its recent releases have moved along two lines at once: filling out three-dimensional simulation, and adding conditional simulation to the established cluster process generators. 3.5-1 is a narrow follow-up adding a random Dirichlet-Voronoi tessellation without edge effects.
A bnosac plotting utility in maintenance mode, shipping once every few years
textplot is the visualisation member of the bnosac NLP family, providing plot methods for dependency parses, biterm topic clusters, co-occurrence graphs, correlation lines and word embeddings. The function surface has been stable since 0.2.0 added textplot_embedding_2d in 2021. The 2026 release touches only documentation links and a vignette guard.
spatstat.random generates random point patterns and simulates point process models for the spatstat family. Its recent releases have moved along two lines at once: filling out three-dimensional simulation, and adding conditional simulation to the established cluster process generators. 3.5-1 is a narrow follow-up adding a random Dirichlet-Voronoi tessellation without edge effects.
The clearest arc is dimensional. 3.5-0 carried inhomogeneous Poisson processes, non-uniform random points and Simple Sequential Inhibition into 3D in a single release, and the sibling geometry package followed two months later with more capabilities for three-dimensional point patterns. Alongside that, the generators have been gaining theoretical range — Gaussian random fields in 3.4-4, a new class of theoretical cluster process models and random diffusion in 3.5-0 — while earlier releases concentrated on conditional simulation and efficiency in the existing 2D routines.
Expect the 3D work to continue propagating into the model-fitting and geometry packages before spatstat.random adds another dimension-independent generator, since the 3D features here have already begun appearing downstream. The entries do not indicate which estimator gets 3D support next.
textplot is the visualisation member of the bnosac NLP family, providing plot methods for dependency parses, biterm topic clusters, co-occurrence graphs, correlation lines and word embeddings. The function surface has been stable since 0.2.0 added textplot_embedding_2d in 2021. The 2026 release touches only documentation links and a vignette guard.
This is a settled package, not a developing one. Releases since 0.2.0 have been reactive: a topic-assignment bug, a layout argument, and now cleanup after the archival of a dependency it linked to. The cadence — four years between 0.2.2 and 0.2.3 — tracks CRAN housekeeping on the wider bnosac stack rather than any roadmap of its own.
Expect the same pattern: the next release will most likely be another CRAN-compliance pass triggered by a change in udpipe, BTM or another sibling package, rather than a new textplot_* function.
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 spatstat.random or textplot.
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series
A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release
A statistician's personal toolbox, growing one plotting utility at a time
R/qtl is in pure custodial mode: every recent release answers a compiler, not a user
See all spatstat.random alternatives → · See all textplot alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. spatstat.random is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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. spatstat.random is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top spatstat.random alternatives in Analytics are ranked by recent ship velocity. Browse the "spatstat.random alternatives" section above for the current picks, or visit /alternatives/spatstat-random for the full list with editorial commentary on each.
Top textplot alternatives in Analytics are ranked by recent ship velocity. Browse the "textplot alternatives" section above for the current picks, or visit /alternatives/textplot for the full list with editorial commentary on each.