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hydroloom vs soilDBdata

A side-by-side editorial comparison of hydroloom and soilDBdata — release velocity, themes, recent moves, and the top alternatives to consider.

hydroloom vs soilDBdata: at a glance

FeaturehydroloomsoilDBdata
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeshydrology, network-analysis, geospatial, r-packagesoil data, test fixtures, nasis, data package
Last editorial update49m ago1h ago
WebsiteVisit →Visit →

What is hydroloom?

USGS puts a type system over its river network toolkit so errors surface at dispatch

hydroloom builds and navigates hydrologic flow networks, carrying functionality migrated out of nhdplusTools. Version 1.2.0 introduces an S3 class hierarchy — hy_topo, hy_leveled, hy_node, hy_flownetwork — assigned automatically by hy() and by producer functions, letting the package validate input at dispatch time and emit guided errors. Outlet detection is now defined explicitly: a row is an outlet when its toid is not in id, with reserved values, NA and implicit absence all accepted.

Read the full hydroloom trajectory →

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.

Read the full soilDBdata trajectory →

hydroloom vs soilDBdata: editorial side-by-side

H
hydroloom
ANALYTICS
0.0

USGS puts a type system over its river network toolkit so errors surface at dispatch

◆ Current state

hydroloom builds and navigates hydrologic flow networks, carrying functionality migrated out of nhdplusTools. Version 1.2.0 introduces an S3 class hierarchy — hy_topo, hy_leveled, hy_node, hy_flownetwork — assigned automatically by hy() and by producer functions, letting the package validate input at dispatch time and emit guided errors. Outlet detection is now defined explicitly: a row is an outlet when its toid is not in id, with reserved values, NA and implicit absence all accepted.

◆ Where it's heading

The package spent its first releases porting and broadening — non-dendritic network support, divergence routing, subsetting that follows diversions out of a basin — and has now turned to making that surface safe to use. The class hierarchy is the structural expression of that turn: instead of every function re-checking whether a data frame has the columns it needs, the type carries the guarantee. The explicit outlet rule resolves a category of failure where valid networks errored on NA or orphan toid values.

◆ Prediction

The release notes flag that subclass attributes are stripped by standard dplyr operations, which is the kind of rough edge that usually generates follow-up work — expect attribute preservation or restoration helpers next.

S
soilDBdata
ANALYTICS
0.0

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 hydroloom 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 hydroloom or soilDBdata.

See all hydroloom alternatives → · See all soilDBdata alternatives →

Recent activity from hydroloom and soilDBdata

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2mo agohydroloomhydroloom v1.2.0
  2. 3mo agosoilDBdataMarshall Islands FY26 gSSURGO dataset added
  3. 5mo agohydroloomTest tolerances relaxed for CRAN Fedora checks
  4. 5mo agohydroloomNetwork subsetting and divergence-routed accumulation
  5. 10mo agohydroloomSort and indexing fixes
  6. 1y agosoilDBdataMT663 fixtures refreshed for soilDB 2.8.3
  7. 1y agosoilDBdataNASIS purpose lists updated for siteothvegclass
  8. 1y agohydroloomUpmain and downmain navigation for non-dendritic networks
  9. 2y agohydroloomInitial release completing the nhdplusTools migration
  10. 4y agosoilDBdataSelected-set _View_1 tables enable SS=TRUE/FALSE testing
  11. 4y agosoilDBdataProof of concept: MT663 pedon and component .sqlite fixtures

Frequently asked questions

What is the difference between hydroloom and soilDBdata?

They serve adjacent needs but don't currently overlap on shipped themes. hydroloom 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 hydroloom better than soilDBdata?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hydroloom 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 hydroloom?

Top hydroloom alternatives in Analytics are ranked by recent ship velocity. Browse the "hydroloom alternatives" section above for the current picks, or visit /alternatives/hydroloom 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.