STACAS
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
Comparison · Analytics
rainette vs sdsfun
A side-by-side editorial comparison of rainette and sdsfun — release velocity, themes, recent moves, and the top alternatives to consider.
rainette vs sdsfun: at a glance
What is rainette?
rainette rebuilt its Reinert clustering in 0.2.0, tuned it in 0.3.0, and has coasted since.
An R implementation of the Reinert textual clustering method, with interactive explorers for browsing clusters. The two substantive releases are behind it: 0.2.0 renamed the core segment-size arguments, fixed segment merging that had been crossing document boundaries, and added a document browser plus per-document cluster tables; 0.3.0 reworked the double classification in rainette2() with full and parallel arguments and much faster computation. The 2026 release is a vctrs compatibility fix plus a colors argument on rainette_plot().
What is sdsfun?
A spatial-statistics utility package exists to be depended on, and is built accordingly.
sdsfun collects spatial data science utilities — neighbour lists, spatial constrained clustering, discretization, dummy variable generation, geographical detector statistics and projection helpers — with the computationally heavy parts implemented in Rcpp. It was assembled quickly across late 2024, adding a function set roughly every three weeks, and has slowed since to a couple of releases a year. The most recent work is corrective: no longer initializing the RNG state at load, fixing matrix inputs misread as vectors, and clearing an Armadillo deprecation.
rainette vs sdsfun: editorial side-by-side
rainette
0.0ANALYTICS
rainette rebuilt its Reinert clustering in 0.2.0, tuned it in 0.3.0, and has coasted since.
◆ Current state
An R implementation of the Reinert textual clustering method, with interactive explorers for browsing clusters. The two substantive releases are behind it: 0.2.0 renamed the core segment-size arguments, fixed segment merging that had been crossing document boundaries, and added a document browser plus per-document cluster tables; 0.3.0 reworked the double classification in rainette2() with full and parallel arguments and much faster computation. The 2026 release is a vctrs compatibility fix plus a colors argument on rainette_plot().
◆ Where it's heading
The package moved from correct-enough to trustworthy and then to maintained: results-changing fixes first, performance and options second, and now only upstream compatibility and small user-requested arguments. Wordcloud plots were flagged for deprecation in 0.3.0 and pulled from the explorers, narrowing the output surface rather than growing it. The same maintainer's questionr followed the same pattern in the same period.
◆ Prediction
The deprecated wordcloud plot type is the obvious removal candidate, since it has carried a warning since 0.3.0 and has already been dropped from the interactive explorers.
sdsfun
0.0ANALYTICS
A spatial-statistics utility package exists to be depended on, and is built accordingly.
◆ Current state
sdsfun collects spatial data science utilities — neighbour lists, spatial constrained clustering, discretization, dummy variable generation, geographical detector statistics and projection helpers — with the computationally heavy parts implemented in Rcpp. It was assembled quickly across late 2024, adding a function set roughly every three weeks, and has slowed since to a couple of releases a year. The most recent work is corrective: no longer initializing the RNG state at load, fixing matrix inputs misread as vectors, and clearing an Armadillo deprecation.
◆ Where it's heading
This is infrastructure for a family of packages rather than an end-user tool, and the changelog says so directly — functions were added to support gdverse and sesp, and moran_test was migrated in from geocomplexity. That migration pattern is the defining move: capability consolidates here so the downstream packages can share it instead of each carrying its own copy. Growth has slowed as that consolidation completed, leaving correctness and dependency upkeep.
◆ Prediction
Given the package moves when its dependents need something, the next release most likely brings in another shared function or responds to a downstream requirement rather than following its own plan. Armadillo and CRAN check changes remain the reliable source of maintenance work.
Alternatives to rainette and sdsfun
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 rainette or sdsfun.
ggtrace
A debugger for ggplot2's internals, hardening its grip as the internals it traces keep moving.
kde1d
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
svines
Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.
gghighlight
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
rtrek
A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.
See all rainette alternatives → · See all sdsfun alternatives →
Recent activity from rainette and sdsfun
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7mo agorainettevctrs compatibility fix and custom cluster colors
- 10mo agosdsfunPackage load stops touching the RNG state
- 1y agosdsfunUnified partial correlation testing and head/tails discretization
- 1y agosdsfunMissing-value handling added to linear trend removal
- 1y agosdsfunCovariate-based detrending and long-to-matrix spatial reshaping
- 1y agosdsfunSpatially constrained hierarchical clustering and SPADE estimation
- 1y agosdsfunFast geodetector q-value estimator added
- 3y agorainetteR 3.6 palette compatibility and dendrogram fix
- 4y agorainetteDouble classification reworked with restricted crossings and parallelism
- 4y agorainetteMerged segments visible in the document browser
- 4y agorainetteCRAN v0.2.0 ⚡
Frequently asked questions
What is the difference between rainette and sdsfun?
They serve adjacent needs but don't currently overlap on shipped themes. rainette and sdsfun 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 rainette better than sdsfun?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rainette and sdsfun 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 rainette?
Top rainette alternatives in Analytics are ranked by recent ship velocity. Browse the "rainette alternatives" section above for the current picks, or visit /alternatives/rainette for the full list with editorial commentary on each.
What are the best alternatives to sdsfun?
Top sdsfun alternatives in Analytics are ranked by recent ship velocity. Browse the "sdsfun alternatives" section above for the current picks, or visit /alternatives/sdsfun for the full list with editorial commentary on each.