soilDBdata
soilDBdata exists so soilDB's tests can run without a NASIS connection.
Comparison · Analytics
aniprocess vs forecasting
A side-by-side editorial comparison of aniprocess and forecasting — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r package
aniprocess vs forecasting: at a glance
What is aniprocess?
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.
What is forecasting?
HIDDA.forecasting is a book chapter's reproducibility artifact, not a package under development.
HIDDA.forecasting accompanies a book chapter on forecasting infectious disease counts; its vignettes reproduce the results presented there using arima, prophet, glarma, hhh4contacts and scoringRules. The 1.0.0 release states this outright — it is the version used for the chapter, pinned to CRAN package versions as of July 2018. Every release since has been a vignette rebuild against newer R and dependency versions.
aniprocess vs forecasting: editorial side-by-side
aniprocess
3.8ANALYTICS
aniprocess rebuilt its filter API into three tiers and removed the old one outright.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
forecasting
0.0ANALYTICS
HIDDA.forecasting is a book chapter's reproducibility artifact, not a package under development.
◆ Current state
HIDDA.forecasting accompanies a book chapter on forecasting infectious disease counts; its vignettes reproduce the results presented there using arima, prophet, glarma, hhh4contacts and scoringRules. The 1.0.0 release states this outright — it is the version used for the chapter, pinned to CRAN package versions as of July 2018. Every release since has been a vignette rebuild against newer R and dependency versions.
◆ Where it's heading
The release pattern is maintenance on an eight-year cadence dictated entirely by the surrounding ecosystem: 1.1.1 rebuilt under R 4.0.4, 1.1.2 under R 4.3.2, 1.1.3 under R 4.6.1, each reporting whether the numbers moved. They mostly have not — the recurring note is minor numerical differences confined to the prophet forecasts in vignette('CHILI_prophet'). The only substantive change in the visible history is 1.1.0's methodological tidy-up of the scoring comparisons.
◆ Prediction
Nothing in these entries points to new functionality; the next release is most likely another vignette rebuild whenever a dependency change or a CRAN check failure forces one.
Alternatives to aniprocess and forecasting
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 forecasting.
collinear
collinear has broken its API twice to stop making the user pick thresholds.
nert
nert put fourteen TERN datasets behind one dispatcher and called it stable.
scTypeEval
scTypeEval judges single-cell annotations without needing a ground truth to judge them against.
medrobust
medrobust made its partial-identification bounds usable by giving them confidence intervals.
probmed
probmed went from one probabilistic effect size to a family of them in sixteen days.
See all aniprocess alternatives → · See all forecasting alternatives →
Recent activity from aniprocess and forecasting
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoaniprocessThree-tier filter API; filter_aniframe() removed ⚡
- 1mo agoforecastingVignettes rebuilt under R 4.6.1
- 3mo agoaniprocessCCMA, excursion and Gaussian filters; FFT passband fix
- 2y agoforecastingVignettes rebuilt under R 4.3.2
- 5y agoforecastingVignettes rebuilt under R 4.0.4
- 7y agoforecastingStandard PIT and discretized log-normal scoring
- 7y agoforecastingThe version used for the book chapter, with pinned dependencies
Frequently asked questions
What is the difference between aniprocess and forecasting?
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.
Is aniprocess better than forecasting?
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.
What are the best alternatives to aniprocess?
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.
What are the best alternatives to forecasting?
Top forecasting alternatives in Analytics are ranked by recent ship velocity. Browse the "forecasting alternatives" section above for the current picks, or visit /alternatives/forecasting for the full list with editorial commentary on each.