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Comparison · Analytics
NWCTrends vs seriation
A side-by-side editorial comparison of NWCTrends and seriation — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
NWCTrends vs seriation: at a glance
What is NWCTrends?
The salmon status-review trend package, maintained one federal review cycle at a time
NWCTrends fits multivariate state-space trend models to Pacific salmon population data and generates the tables and figures used in NOAA Northwest Fisheries Science Center viability and status reviews. Its release history maps onto those review cycles rather than a development calendar: v1.0 carries the 2015 review code, v1.25 the 2020 review, v1.30 the changes since. The 2026 v1.31 is internal restructuring and a dependency swap.
What is seriation?
seriation stopped shipping algorithms and started shipping a way to pick between them.
seriation finds meaningful orderings for matrices, distance objects and dendrograms, and carries a large registry of methods from classic combinatorial criteria to t-SNE and UMAP embeddings. The 1.5.0 release added a layer above that registry — seriate_best(), seriate_rep() and seriate_improve() — which run randomized methods repeatedly, in parallel, and keep the best result. Recent work is definitional and numeric rather than additive: 1.5.8 corrects the linear seriation criterion to match Hubert and Schultz's original 1976 definition.
NWCTrends vs seriation: editorial side-by-side
NWCTrends
0.0ANALYTICS
The salmon status-review trend package, maintained one federal review cycle at a time
◆ Current state
NWCTrends fits multivariate state-space trend models to Pacific salmon population data and generates the tables and figures used in NOAA Northwest Fisheries Science Center viability and status reviews. Its release history maps onto those review cycles rather than a development calendar: v1.0 carries the 2015 review code, v1.25 the 2020 review, v1.30 the changes since. The 2026 v1.31 is internal restructuring and a dependency swap.
◆ Where it's heading
Development is driven by reproducibility of a specific government reporting product, so most work goes into making the report generation configurable and the fitting assumptions explicit rather than into new modelling. The 2020 cycle removed hard-coded per-population hacks and made the fitting window an explicit argument; the 2023 cycle moved plot styling into package options and clarified how missing data and zeros are handled in the published tables.
◆ Prediction
The cadence suggests the next substantive release arrives with the next status review rather than before it, most likely continuing the move of report parameters out of function signatures and into structured configuration.
seriation
0.0ANALYTICS
seriation stopped shipping algorithms and started shipping a way to pick between them.
◆ Current state
seriation finds meaningful orderings for matrices, distance objects and dendrograms, and carries a large registry of methods from classic combinatorial criteria to t-SNE and UMAP embeddings. The 1.5.0 release added a layer above that registry — seriate_best(), seriate_rep() and seriate_improve() — which run randomized methods repeatedly, in parallel, and keep the best result. Recent work is definitional and numeric rather than additive: 1.5.8 corrects the linear seriation criterion to match Hubert and Schultz's original 1976 definition.
◆ Where it's heading
The package has shifted from breadth to judgment. Through 1.3.x the additions were new methods; from 1.5.0 the registry started carrying metadata about the methods — whether they are randomized, what criterion they optimize — so the package could choose and evaluate on the user's behalf. The 1.5.6 replacement of FORTRAN with C for BEA and ME points the same way, reducing the legacy surface underneath that machinery.
◆ Prediction
Further criterion audits are the likeliest next move, since 1.5.8 shows a published definition being reconciled against the implementation and the registry now records what each method optimizes. Expect corrections rather than new seriation algorithms.
Alternatives to NWCTrends and seriation
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 NWCTrends or seriation.
geodist
geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.
errors
errors keeps making uncertainty print the way each scientific field expects.
CMAQ
CMAQ went global in v5.5, and has been patching that surface ever since.
enpls
enpls has not changed its statistics since 2016 — only its website, twice.
grex
grex is a lookup table with a version number — it ships when the annotation moves.
See all NWCTrends alternatives → · See all seriation alternatives →
Recent activity from NWCTrends and seriation
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7mo agoNWCTrendsReport params extracted to a list; gdata replaced with readxl
- 0y agoseriationseriation 1.5.8 realigns linear criterion with Hubert and Schultz
- 1y agoseriationseriation 1.5.7 adds BK_unconstrained, handles tiny inputs
- 1y agoseriationseriation 1.5.6 replaces FORTRAN BEA with C, modernizes allocation
- 2y agoseriationseriation 1.5.5 digest: AOE method, rep parameter, MDS_angle fix
- 3y agoseriationseriation 1.5.1 refines pimage, permute and hmap
- 3y agoseriationseriation 1.5.0 adds seriate_best and parallel repeated search ⚡
- 3y agoNWCTrendsPlot options move into package globals; figure data exported to CSV
- 5y agoNWCTrendsExplicit fitting window replaces implicit full-data fits
- 5y agoNWCTrendsInitial release packaging the 2015 status review code
Frequently asked questions
What is the difference between NWCTrends and seriation?
Both compete on the same themes — r-package — within Analytics. NWCTrends and seriation 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 NWCTrends better than seriation?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. NWCTrends and seriation 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 NWCTrends?
Top NWCTrends alternatives in Analytics are ranked by recent ship velocity. Browse the "NWCTrends alternatives" section above for the current picks, or visit /alternatives/nwctrends-r for the full list with editorial commentary on each.
What are the best alternatives to seriation?
Top seriation alternatives in Analytics are ranked by recent ship velocity. Browse the "seriation alternatives" section above for the current picks, or visit /alternatives/seriation-r for the full list with editorial commentary on each.