soilDBdata
soilDBdata exists so soilDB's tests can run without a NASIS connection.
A side-by-side editorial comparison of aniprocess and minimaxapprox — 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.
minimaxapprox found its Remez exchange had been silently returning the wrong minimax.
minimaxapprox computes minimax polynomial and rational approximations to functions via the Remez exchange algorithm. Version 0.6.0 is a correctness release of unusual depth: the exchange was redesigned after two structural defects were found that let it converge to a reference-local fixed point that is not the global minimax, with no warning. The worked example in the notes has atan on [0,3] at degree 3 reporting an expected error 1.8 times smaller than the returned approximation's true maximum error.
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.
minimaxapprox computes minimax polynomial and rational approximations to functions via the Remez exchange algorithm. Version 0.6.0 is a correctness release of unusual depth: the exchange was redesigned after two structural defects were found that let it converge to a reference-local fixed point that is not the global minimax, with no warning. The worked example in the notes has atan on [0,3] at degree 3 reporting an expected error 1.8 times smaller than the returned approximation's true maximum error.
The redesign changes what drives the algorithm: roots are now located across the whole interval from an oversampled grid rather than only between consecutive reference points, each sign region takes its search direction from the error's own sign instead of a mechanically alternated schedule, and endpoints are always retained as exchange candidates. Around that sit a cluster of fixes with the same signature — a stagnation check tested in only one direction, a missing abs() in a coefficient test, ztol applied on the monomial scale when Chebyshev was requested — each one a silent wrong answer rather than a crash. Conditioning on ranges far from [-1,1] was also addressed, at the cost of a breaking change.
Nearly every fix here came from auditing places where the package trusted its own structure instead of measuring the error curve, so the next release most likely continues that audit into the rational-approximation path rather than adding features.
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 minimaxapprox.
soilDBdata exists so soilDB's tests can run without a NASIS connection.
collinear has broken its API twice to stop making the user pick thresholds.
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.
See all aniprocess alternatives → · See all minimaxapprox alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — 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 minimaxapprox alternatives in Analytics are ranked by recent ship velocity. Browse the "minimaxapprox alternatives" section above for the current picks, or visit /alternatives/minimaxapprox for the full list with editorial commentary on each.