soilDBdata
soilDBdata exists so soilDB's tests can run without a NASIS connection.
A side-by-side editorial comparison of aniprocess and clinify — 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.
clinify is closing the gap between flextable defaults and regulatory table specs.
clinify shapes clinical trial tables into the Word deliverables regulatory submissions require, wrapping flextable and officer. Version 0.4.0 is on CRAN and is almost entirely typographic control: spanner rules that follow the header instead of hard-coded column numbers, header padding named for where the space actually sits, and explicit row pitch. The structural release was 0.3.0, which introduced document objects and broke three APIs to get there.
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.
clinify shapes clinical trial tables into the Word deliverables regulatory submissions require, wrapping flextable and officer. Version 0.4.0 is on CRAN and is almost entirely typographic control: spanner rules that follow the header instead of hard-coded column numbers, header padding named for where the space actually sits, and explicit row pitch. The structural release was 0.3.0, which introduced document objects and broke three APIs to get there.
The package is working through the places where flextable's defaults and a statistical reporting spec disagree, and the notes are unusually explicit about why each default is wrong — a cell's bottom border draws below its bottom padding, so space under a header moves the rule rather than opening a gap beneath it; flextable leaves rows at a nominal quarter inch when the spec names an exact pitch. Each addition is built to survive an organisation's own clinify_table_default() rather than assuming clinify's styling runs last.
Header, spanner and row-pitch control all landed together, so the next gap in the same series is title and footnote geometry — the remaining page furniture that 0.3.0's two-part split left roughly specified.
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 clinify.
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 clinify 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 2.5), 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 2.5), 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 clinify alternatives in Analytics are ranked by recent ship velocity. Browse the "clinify alternatives" section above for the current picks, or visit /alternatives/clinify for the full list with editorial commentary on each.