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Comparison · Analytics
bagyo vs soilDBdata
A side-by-side editorial comparison of bagyo and soilDBdata — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:data package
bagyo vs soilDBdata: at a glance
What is bagyo?
bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.
A data package distributing Philippine Area of Responsibility tropical cyclone records, developed through 2024 pre-releases and accepted by CRAN in early 2026. The substantive release is v0.2.0: 2021 and 2022 typhoon data added, an unexported helper for downloading cyclone reports, CITATION.cff, an R 4.1 dependency for the base pipe, and a full pass over vignettes, tests and README. The v0.1.1 tag announcing the first CRAN release carries no content and is stamped two hours after v0.2.0.
What is soilDBdata?
soilDBdata exists so soilDB's tests can run without a NASIS connection.
soilDBdata is a data-only package supplying NASIS and gSSURGO sample datasets as .sqlite assets, installed separately by soilDB's GitHub Actions so unit tests that would otherwise need database access can run. It began as a proof of concept carrying MT663 pedon and component tables used in soil survey coursework, and its most recent release adds a Marshall Islands FY26 gSSURGO dataset. Releases are infrequent and driven by what the parent package needs to test.
bagyo vs soilDBdata: editorial side-by-side
bagyo
0.0ANALYTICS
bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.
◆ Current state
A data package distributing Philippine Area of Responsibility tropical cyclone records, developed through 2024 pre-releases and accepted by CRAN in early 2026. The substantive release is v0.2.0: 2021 and 2022 typhoon data added, an unexported helper for downloading cyclone reports, CITATION.cff, an R 4.1 dependency for the base pipe, and a full pass over vignettes, tests and README. The v0.1.1 tag announcing the first CRAN release carries no content and is stamped two hours after v0.2.0.
◆ Where it's heading
The package is establishing itself as a citable, yearly-updated dataset rather than a one-off scrape — the download helper and the '2022 data and general yearly upkeep' commit both point at a recurring refresh, and the CRAN DOI and CITATION file exist so the data can be cited in papers. It sits alongside the same maintainer's other public-health and survey data packages, which received matching repository upkeep in the same month.
◆ Prediction
Expect an annual data release adding the next typhoon season, since that is the only recurring change in the history and the download helper was written to support it.
soilDBdata
0.0ANALYTICS
soilDBdata exists so soilDB's tests can run without a NASIS connection.
◆ Current state
soilDBdata is a data-only package supplying NASIS and gSSURGO sample datasets as .sqlite assets, installed separately by soilDB's GitHub Actions so unit tests that would otherwise need database access can run. It began as a proof of concept carrying MT663 pedon and component tables used in soil survey coursework, and its most recent release adds a Marshall Islands FY26 gSSURGO dataset. Releases are infrequent and driven by what the parent package needs to test.
◆ Where it's heading
Development follows soilDB rather than leading it: assets get bumped when a soilDB version changes, and purpose lists are updated when soilDB adds a table. The one release that changed what testing is possible was v0.1.1, which added selected-set _View_1 tables alongside whole tables so both SS=TRUE and SS=FALSE code paths could be exercised. Four-year gaps between releases are normal here and do not indicate abandonment — a fixture package only needs to move when the fixtures go stale.
◆ Prediction
The recent addition is a new geography rather than a new table structure, so further releases most likely continue broadening dataset coverage as soilDB gains regions to test against.
Alternatives to bagyo and soilDBdata
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 bagyo or soilDBdata.
mev
An extreme-value toolkit reorganised its whole API into prefixed families and tripled its estimator count.
nflseedR
nflseedR rewrote its simulator from scratch and put the original on a deprecation clock.
TLF-Library
The Open Systems Pharmacology plotting layer spent 2025 absorbing a ggplot2 major break.
skylight
A frozen astronomical model quietly became the inner loop of its sibling's optimizer.
randomwalk
randomwalk spent every release getting an R simulation to run in the browser, not on a server.
See all bagyo alternatives → · See all soilDBdata alternatives →
Recent activity from bagyo and soilDBdata
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agosoilDBdataMarshall Islands FY26 gSSURGO dataset added
- 7mo agobagyobagyo v0.1.1
- 7mo agobagyo2021 and 2022 typhoon data added
- 1y agosoilDBdataMT663 fixtures refreshed for soilDB 2.8.3
- 1y agosoilDBdataNASIS purpose lists updated for siteothvegclass
- 2y agobagyoPre-release for Zenodo archiving
- 2y agobagyoInitial pre-release
- 4y agosoilDBdataSelected-set _View_1 tables enable SS=TRUE/FALSE testing
- 4y agosoilDBdataProof of concept: MT663 pedon and component .sqlite fixtures
Frequently asked questions
What is the difference between bagyo and soilDBdata?
Both compete on the same themes — data package — within Analytics. bagyo and soilDBdata are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is bagyo better than soilDBdata?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bagyo and soilDBdata are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to bagyo?
Top bagyo alternatives in Analytics are ranked by recent ship velocity. Browse the "bagyo alternatives" section above for the current picks, or visit /alternatives/bagyo for the full list with editorial commentary on each.
What are the best alternatives to soilDBdata?
Top soilDBdata alternatives in Analytics are ranked by recent ship velocity. Browse the "soilDBdata alternatives" section above for the current picks, or visit /alternatives/soildbdata for the full list with editorial commentary on each.