STACAS
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
A side-by-side editorial comparison of healthyR.ts and rtrek — release velocity, themes, recent moves, and the top alternatives to consider.
healthyR.ts keeps adding time-series helpers, then quietly breaks the old ones to modernise them.
A time-series companion in the healthyverse family, shipping helper functions in batches: growth-rate vectors, an ADF test and auto_stationarize() in 0.2.11, then five log and differencing transforms in 0.3.0, and a random-walk plot in 0.3.2. Alongside the additions runs a steady stream of breaking cleanups — invisible returns dropped, R 4.1 required for the native pipe, and ts_ma_plot() refactored onto ggplot2 facets with its xts output removed and its return value cut from six items to two.
A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.
rtrek bundles Star Trek datasets — book series, timelines, episode transcripts, species and homeworlds, map tile sets — and layers live retrieval on top through memory_alpha() and memory_beta() plus their ma_* and mb_* helpers. Recent releases are almost entirely repairs to that retrieval layer as the source wikis change their page structure.
A time-series companion in the healthyverse family, shipping helper functions in batches: growth-rate vectors, an ADF test and auto_stationarize() in 0.2.11, then five log and differencing transforms in 0.3.0, and a random-walk plot in 0.3.2. Alongside the additions runs a steady stream of breaking cleanups — invisible returns dropped, R 4.1 required for the native pipe, and ts_ma_plot() refactored onto ggplot2 facets with its xts output removed and its return value cut from six items to two.
Two threads, both consistent. The functional one is coverage of the stationarity workflow — transform, test, auto-stationarize, plot — assembled function by function rather than as a single API. The structural one is convergence on ggplot2 and tidy conventions, retiring xts objects and multi-object return lists as it goes. The package is not afraid to break return shapes to get there, so upgrades are not drop-in.
Expect the remaining functions that still return xts objects or bundled lists to get the same ggplot2-only treatment, since ts_ma_plot() was refactored on exactly that rationale.
rtrek bundles Star Trek datasets — book series, timelines, episode transcripts, species and homeworlds, map tile sets — and layers live retrieval on top through memory_alpha() and memory_beta() plus their ma_* and mb_* helpers. Recent releases are almost entirely repairs to that retrieval layer as the source wikis change their page structure.
The package's centre of gravity shifted once, at 0.2.0, from shipping static data to querying Memory Alpha and Memory Beta at runtime. Everything since has been the maintenance bill for that decision: HTML update fixes, parser improvements, portal retrieval bugs. Note that version numbers on this feed do not track time — 0.2.5 is stamped a year before 0.1.0, and three tags were backfilled within four minutes in November 2020 — so neither rank nor version ordering here indicates release sequence.
Expect the next release to fix retrieval against another Memory Alpha layout change, which is what the last four have done. The entries give no indication of new datasets or functions in progress.
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 healthyR.ts or rtrek.
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
A debugger for ggplot2's internals, hardening its grip as the internals it traces keep moving.
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
A thin EIA energy-data client whose whole story is making bulk queries survive the API's limits.
See all healthyR.ts alternatives → · See all rtrek alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. healthyR.ts and rtrek 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. healthyR.ts and rtrek 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.
Top healthyR.ts alternatives in Analytics are ranked by recent ship velocity. Browse the "healthyR.ts alternatives" section above for the current picks, or visit /alternatives/healthyr-ts for the full list with editorial commentary on each.
Top rtrek alternatives in Analytics are ranked by recent ship velocity. Browse the "rtrek alternatives" section above for the current picks, or visit /alternatives/rtrek for the full list with editorial commentary on each.