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Comparison · Analytics

icesSAG vs modeltime.resample

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

icesSAG vs modeltime.resample: at a glance

FeatureicesSAGmodeltime.resample
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesfisheries-science, api-client, ices, data-validationtime series, cross-validation, tidymodels, compatibility maintenance
Last editorial update48m ago2h ago
WebsiteVisit →Visit →

What is icesSAG?

The ICES stock assessment client took upload away in 2024 and spent two years giving it back.

icesSAG is the R client for the ICES Stock Assessment Graphs database, used by fisheries scientists to retrieve and publish stock assessment summaries and figures. The 1.5.0 release repointed every function at a new API, replaced token authentication with JWT via icesConnect, and dropped file upload entirely. Upload returned in 1.6.2, now routing through icesDatsu to check file format and validate data before submission.

Read the full icesSAG trajectory →

What is modeltime.resample?

modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.

modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.

Read the full modeltime.resample trajectory →

icesSAG vs modeltime.resample: editorial side-by-side

I
icesSAG
ANALYTICS
0.0

The ICES stock assessment client took upload away in 2024 and spent two years giving it back.

◆ Current state

icesSAG is the R client for the ICES Stock Assessment Graphs database, used by fisheries scientists to retrieve and publish stock assessment summaries and figures. The 1.5.0 release repointed every function at a new API, replaced token authentication with JWT via icesConnect, and dropped file upload entirely. Upload returned in 1.6.2, now routing through icesDatsu to check file format and validate data before submission.

◆ Where it's heading

The package is consolidating onto the shared ices-tools stack rather than carrying its own machinery — authentication moved to icesConnect, validation to icesDatsu, and the icesVocab dependency was dropped once it was no longer needed. Alongside that, redundant graph functions were deprecated and caching was added to reduce load on the server. Releases are infrequent and driven by upstream API changes.

◆ Prediction

Expect the next release to follow whatever the ICES service or the sibling ices-tools packages change next, rather than introducing new analysis capability of its own.

M0.0

modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.

◆ Current state

modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.

◆ Where it's heading

Every entry here is compatibility work against something upstream — hardhat 1.0.0, workflows regression mode, then tune 2.0.0 twice. The 0.3.0 notes show a second concern emerging alongside it: making failures legible, with .notes on failed fits, actionable errors from unnest_modeltime_resamples(), and fallback logic when prediction columns go missing across versions. Reproducibility gets the same treatment through explicit seeding.

◆ Prediction

Expect the next release to track the next tidymodels breaking change, with any new work continuing on error reporting rather than resampling strategies.

Alternatives to icesSAG and modeltime.resample

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 icesSAG or modeltime.resample.

See all icesSAG alternatives → · See all modeltime.resample alternatives →

Recent activity from icesSAG and modeltime.resample

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

  1. 3mo agoicesSAGStock upload restored with pre-submission validation
  2. 11mo agomodeltime.resampletune 2.0 support, deterministic seeding, clearer errors
  3. 11mo agomodeltime.resampleDependency cleanup ahead of the next tune release
  4. 1y agoicesSAGEvery function repointed at a new API, with JWT auth
  5. 3y agomodeltime.resampleFixes workflows in regression mode
  6. 4y agomodeltime.resampleUpdates for hardhat 1.0.0
  7. 6y agoicesSAGlocal release 1.3-5

Frequently asked questions

What is the difference between icesSAG and modeltime.resample?

They serve adjacent needs but don't currently overlap on shipped themes. icesSAG and modeltime.resample 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 icesSAG better than modeltime.resample?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. icesSAG and modeltime.resample 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 icesSAG?

Top icesSAG alternatives in Analytics are ranked by recent ship velocity. Browse the "icesSAG alternatives" section above for the current picks, or visit /alternatives/icessag for the full list with editorial commentary on each.

What are the best alternatives to modeltime.resample?

Top modeltime.resample alternatives in Analytics are ranked by recent ship velocity. Browse the "modeltime.resample alternatives" section above for the current picks, or visit /alternatives/modeltime-resample for the full list with editorial commentary on each.