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nflseedR vs soilDBdata

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

nflseedR vs soilDBdata: at a glance

FeaturenflseedRsoilDBdata
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesnfl-analytics, simulation, standings, deprecationsoil data, test fixtures, nasis, data package
Last editorial update48m ago6h ago
WebsiteVisit →Visit →

What is nflseedR?

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.

Read the full nflseedR 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 →

nflseedR vs soilDBdata: editorial side-by-side

N
nflseedR
ANALYTICS
0.0

nflseedR rewrote its simulator from scratch and put the original on a deprecation clock.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

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 nflseedR 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 nflseedR or soilDBdata.

See all nflseedR alternatives → · See all soilDBdata alternatives →

Recent activity from nflseedR and soilDBdata

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

  1. 3mo agosoilDBdataMarshall Islands FY26 gSSURGO dataset added
  2. 9mo agonflseedRDocumentation image styling changed at CRAN's request
  3. 0y agonflseedRPostseason Elo correction and standings output consistency fixes
  4. 1y agonflseedRNew standings and simulation engine replaces the original design
  5. 1y agosoilDBdataMT663 fixtures refreshed for soilDB 2.8.3
  6. 1y agosoilDBdataNASIS purpose lists updated for siteothvegclass
  7. 3y agonflseedRSelective simulation and a data.table speedup
  8. 4y agonflseedRSimulation output becomes a class with a summary method
  9. 4y agosoilDBdataSelected-set _View_1 tables enable SS=TRUE/FALSE testing
  10. 4y agosoilDBdataProof of concept: MT663 pedon and component .sqlite fixtures
  11. 5y agonflseedRError handling hardened for CRAN checks

Frequently asked questions

What is the difference between nflseedR and soilDBdata?

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.

Is nflseedR better than soilDBdata?

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.

What are the best alternatives to nflseedR?

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.

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.