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A distribution catalogue that grows by one family at a time, and rarely breaks anything.
A side-by-side editorial comparison of nflseedR and soilDBdata — release velocity, themes, recent moves, and the top alternatives to consider.
nflseedR rewrote its simulator from scratch and put the original on a deprecation clock.
nflseedR computes NFL standings, playoff seeding and draft order, and simulates seasons to produce playoff probabilities. Version 2.0.0 replaced the engine rather than extending it: nfl_standings() and nfl_simulations() are new implementations, and the original compute_division_ranks(), compute_conference_seeds(), compute_draft_order() and simulate_nfl() are all slated for deprecation. The two releases since have been correctness fixes and a CRAN-requested documentation styling change.
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.
nflseedR computes NFL standings, playoff seeding and draft order, and simulates seasons to produce playoff probabilities. Version 2.0.0 replaced the engine rather than extending it: nfl_standings() and nfl_simulations() are new implementations, and the original compute_division_ranks(), compute_conference_seeds(), compute_draft_order() and simulate_nfl() are all slated for deprecation. The two releases since have been correctness fixes and a CRAN-requested documentation styling change.
The direction is toward a leaner, faster package with fewer dependencies, and the deprecation plan is stated openly — retiring simulate_nfl() is described as the step that lets the dependency list shrink significantly. Tiebreaker coverage has been filled in to the point where only net touchdowns remain unimplemented, and load_sharpe_games() has been handed off to nflreadr. Requiring R 4.1 for the native pipe is the same instinct applied to the language floor.
The deprecations are announced but not executed, so the next substantive release most likely removes simulate_nfl() and the older standings helpers and drops the dependencies that were the stated reason for the rewrite. Net-touchdown tiebreaking is the one gap the entries explicitly leave open.
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.
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 nflseedR or soilDBdata.
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
College football's open data client hit v2 — and now reports how many API calls you have left.
The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.
GeneNMF rebuilt how it derives meta-programs, changing every result it had produced.
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
A spatial-statistics utility package exists to be depended on, and is built accordingly.
See all nflseedR alternatives → · See all soilDBdata alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. nflseedR 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. nflseedR 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.
Top nflseedR alternatives in Analytics are ranked by recent ship velocity. Browse the "nflseedR alternatives" section above for the current picks, or visit /alternatives/nflseedr for the full list with editorial commentary on each.
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.