treasury
A thin Treasury rates wrapper has stopped adding endpoints and started making its tables self-describing.
A side-by-side editorial comparison of soilDBdata and vahtian — release velocity, themes, recent moves, and the top alternatives to consider.
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.
A provenance-first corpus tool hands its verification core to agents over MCP
vahtian freezes a set of research records into a content-hashed, date-locked corpus, verifies it is untampered, and keeps a hash-chained audit ledger. It ships in Python and R with byte-identical content hashes enforced by a golden-hash test in both suites. In five weeks it went from first release to exposing its five core operations through a local stdio MCP server and registering in the MCP Registry.
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.
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.
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.
vahtian freezes a set of research records into a content-hashed, date-locked corpus, verifies it is untampered, and keeps a hash-chained audit ledger. It ships in Python and R with byte-identical content hashes enforced by a golden-hash test in both suites. In five weeks it went from first release to exposing its five core operations through a local stdio MCP server and registering in the MCP Registry.
The direction is explicit in the project's own framing — human-first, AI-second, auditable — and the MCP server is what makes that framing operational rather than rhetorical. Rather than adding judgement, the tool is being positioned as the thing an agent calls to prove a corpus has not moved. The CiteVahti claim-source comparator, mirrored across both languages under a parity gate, extends the same idea to per-claim checking. Everything stays on the user's machine: no accounts, no telemetry.
The comparator's per-field epistemic states are the newest and least settled piece; expect the next release to extend those states or to widen the R package's distribution, which is still described as coming.
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 soilDBdata or vahtian.
A thin Treasury rates wrapper has stopped adding endpoints and started making its tables self-describing.
The R front door to USDA soil data finishes a long deprecation cleanup and turns local-first.
A single-cell data store commits to Zarr v3 and range-readable hosting across four language surfaces
Text analysis in R keeps optimising its token internals — and builds a path out to torch
The ModernDive teaching package learns to render inside the browser that runs its own textbook
A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain
See all soilDBdata alternatives → · See all vahtian alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. vahtian 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. vahtian 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.
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.
Top vahtian alternatives in Analytics are ranked by recent ship velocity. Browse the "vahtian alternatives" section above for the current picks, or visit /alternatives/vahtian for the full list with editorial commentary on each.