soilDBdata
soilDBdata exists so soilDB's tests can run without a NASIS connection.
A side-by-side editorial comparison of aniprocess and collinear — release velocity, themes, recent moves, and the top alternatives to consider.
aniprocess rebuilt its filter API into three tiers and removed the old one outright.
aniprocess is the signal-processing half of the animovement ecosystem for animal movement data — smoothing, outlier flagging and gap handling for tracking coordinates. Version 0.3.0 restructured the entire public interface into three tiers: bare functions over a vector or a frame of coordinate columns, *_with() to select a method by name, and *_across() to apply one to a whole aniframe. Two functions were removed rather than deprecated, and argument names were normalized across the package.
collinear has broken its API twice to stop making the user pick thresholds.
collinear removes multicollinearity from predictor sets through pairwise correlation and VIF filtering, with a preference order deciding which variable survives each conflict. Two major versions in thirteen months each rewrote the interface: 2.0.0 extended every function to any combination of categorical and numeric responses and predictors, and 3.0.0 moved to multiple responses, restructured the output into classed objects, and made both filtering thresholds adaptive by default. Version 3.0.1 is the first release since that is purely repair.
aniprocess is the signal-processing half of the animovement ecosystem for animal movement data — smoothing, outlier flagging and gap handling for tracking coordinates. Version 0.3.0 restructured the entire public interface into three tiers: bare functions over a vector or a frame of coordinate columns, *_with() to select a method by name, and *_across() to apply one to a whole aniframe. Two functions were removed rather than deprecated, and argument names were normalized across the package.
The redesign pushes aniframe metadata into the processing layer — *_across() reads sampling rate and the time column off the object instead of asking the caller, which is the division of labour aniframe's own class work assumes. Defaults are shifting toward not destroying information: filters preserve gaps unless inferring across them is the point, and a missing confidence score now warns rather than being read as a poor one. The bug fixes tell a consistent per-group story, with speed computed within each track so a step never forms across a track boundary.
With the across-style API landed and issue #29 (filter_by_pose) still open, the next release most likely extends the same three-tier pattern to pose data rather than adding more filters.
collinear removes multicollinearity from predictor sets through pairwise correlation and VIF filtering, with a preference order deciding which variable survives each conflict. Two major versions in thirteen months each rewrote the interface: 2.0.0 extended every function to any combination of categorical and numeric responses and predictors, and 3.0.0 moved to multiple responses, restructured the output into classed objects, and made both filtering thresholds adaptive by default. Version 3.0.1 is the first release since that is purely repair.
The through-line is removing decisions the user was never well placed to make. Preference-order functions were renamed twice — first onto a metric-and-model scheme in 2.0.0, then onto a response-type scheme in 3.0.0 — and f_auto() picks one when none is given; target encoding went from automatic to opt-in; max_cor and max_vif now default to NULL and trigger a data-driven threshold derived from the 75th percentile of pairwise correlations through a sigmoid and a fitted correlation-to-VIF mapping. Each change is defensible and each one broke callers, which is the cost of this approach.
3.0.1 moved the example datasets out into a separate spatialData package and fixed four crashes rather than adding anything, so the next release is most likely more consolidation on the 3.0 surface than a fourth interface.
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 aniprocess or collinear.
soilDBdata exists so soilDB's tests can run without a NASIS connection.
nert put fourteen TERN datasets behind one dispatcher and called it stable.
scTypeEval judges single-cell annotations without needing a ground truth to judge them against.
medrobust made its partial-identification bounds usable by giving them confidence intervals.
probmed went from one probabilistic effect size to a family of them in sixteen days.
fluxnet keeps swapping its own plumbing — first a Python downloader, now a DuckDB backend.
See all aniprocess alternatives → · See all collinear alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — breaking changes, r package — within Analytics. aniprocess is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 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. aniprocess is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 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 aniprocess alternatives in Analytics are ranked by recent ship velocity. Browse the "aniprocess alternatives" section above for the current picks, or visit /alternatives/aniprocess for the full list with editorial commentary on each.
Top collinear alternatives in Analytics are ranked by recent ship velocity. Browse the "collinear alternatives" section above for the current picks, or visit /alternatives/collinear for the full list with editorial commentary on each.