soilDBdata
soilDBdata exists so soilDB's tests can run without a NASIS connection.
Comparison · Analytics
b3gbi vs forecasting
A side-by-side editorial comparison of b3gbi and forecasting — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r package
b3gbi vs forecasting: at a glance
What is b3gbi?
b3gbi pulled confidence intervals out of its indicator workflow and handed them to dubicube.
b3gbi computes biodiversity indicators from GBIF occurrence cubes for the B-Cubed project, and sits at 0.9.4 in a JOSS review run-up. The 0.9 release decoupled uncertainty from indicator calculation: confidence intervals are no longer produced inline but added afterward with add_ci(), backed by whole-cube bootstrapping from the sibling dubicube package. Everything since has been grid-parsing and compatibility repair around that split.
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.
b3gbi vs forecasting: editorial side-by-side
b3gbi
2.5ANALYTICS
b3gbi pulled confidence intervals out of its indicator workflow and handed them to dubicube.
◆ Current state
b3gbi computes biodiversity indicators from GBIF occurrence cubes for the B-Cubed project, and sits at 0.9.4 in a JOSS review run-up. The 0.9 release decoupled uncertainty from indicator calculation: confidence intervals are no longer produced inline but added afterward with add_ci(), backed by whole-cube bootstrapping from the sibling dubicube package. Everything since has been grid-parsing and compatibility repair around that split.
◆ Where it's heading
Two forces are shaping releases. Internally, the uncertainty split produced an indicator-specific rule book — species-level indicators bootstrap the whole cube, raw counts resample within year, evenness gets a logit transform — and that rule book is where the statistical thinking now lives. Externally, GBIF's taxonomic backbone migration to the Catalogue of Life forced string taxon keys through process_cube() and the plotting paths, while recurring EEA and MGRS grid-code fixes mark coordinate parsing as the least settled area.
◆ Prediction
The 0.9.4 notes are entirely JOSS review items — contributors, examples, tracked datasets — so the next release is most likely a JOSS-accepted 1.0 rather than new indicator work.
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 b3gbi 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 b3gbi 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 b3gbi alternatives → · See all forecasting alternatives →
Recent activity from b3gbi and forecasting
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4d agob3gbiJOSS review fixes: contributors, examples, tracked data
- 1mo agob3gbiEEA grid coordinates no longer scaled by resolution
- 1mo agoforecastingVignettes rebuilt under R 4.6.1
- 1mo agob3gbiadd_ci() no longer crashes on completeness indicators
- 1mo agob3gbiString taxon keys for GBIF's Catalogue of Life backbone
- 1mo agob3gbiUncertainty split out of the indicator workflow into add_ci() ⚡
- 1mo agob3gbiFAIR column mapping doc and Zenodo DOI badge
- 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 b3gbi and forecasting?
Both compete on the same themes — r package — within Analytics. b3gbi is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 b3gbi better than forecasting?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. b3gbi is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 b3gbi?
Top b3gbi alternatives in Analytics are ranked by recent ship velocity. Browse the "b3gbi alternatives" section above for the current picks, or visit /alternatives/b3gbi 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.