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icesSAG vs shapviz

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

icesSAG vs shapviz: at a glance

FeatureicesSAGshapviz
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesfisheries-science, api-client, ices, data-validationshap, visualization, model explainability, ggplot2
Last editorial update52m 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 shapviz?

shapviz refines its SHAP plots release by release while chasing ggplot2's moving target.

shapviz turns SHAP values from XGBoost, LightGBM, H2O, kernelshap and other sources into standard diagnostic plots — importance, dependence, waterfall, force and interaction. Recent work is plot ergonomics: shared y-axis control across dependence plots, a bar view for interaction values, and axis collection via patchwork. The two most recent releases are pure compatibility and bug fixes.

Read the full shapviz trajectory →

icesSAG vs shapviz: 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.

S
shapviz
ANALYTICS
0.0

shapviz refines its SHAP plots release by release while chasing ggplot2's moving target.

◆ Current state

shapviz turns SHAP values from XGBoost, LightGBM, H2O, kernelshap and other sources into standard diagnostic plots — importance, dependence, waterfall, force and interaction. Recent work is plot ergonomics: shared y-axis control across dependence plots, a bar view for interaction values, and axis collection via patchwork. The two most recent releases are pure compatibility and bug fixes.

◆ Where it's heading

Two threads run in parallel here. One is visual refinement converging on conventions from Python's shap — the 0.10.0 notes openly float switching share_y to TRUE to match it. The other is connector maintenance, keeping pace with H2O, XGBoost 1.x and 2.x, shapr and permshap as each changes. Neither thread adds new explanation methods; shapviz's job is presentation, and it is being polished rather than extended.

◆ Prediction

Expect share_y = TRUE to become the default and further ggplot2 4.x fallout, with connector updates arriving as the upstream SHAP packages release.

Alternatives to icesSAG and shapviz

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 shapviz.

See all icesSAG alternatives → · See all shapviz alternatives →

Recent activity from icesSAG and shapviz

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

  1. 3mo agoicesSAGStock upload restored with pre-submission validation
  2. 10mo agoshapvizggplot 4.0 compatibility fix
  3. 1y agoshapvizFixes duplicated bars in sv_interaction()
  4. 1y agoshapvizggplot2 and patchwork dependency bumps
  5. 1y agoshapvizShared y-axis control and bar-style interaction plots
  6. 1y agoshapvizH2O random forests gain TreeSHAP support
  7. 1y agoicesSAGEvery function repointed at a new API, with JWT auth
  8. 1y agoshapvizFixes a broken vignette link
  9. 6y agoicesSAGlocal release 1.3-5

Frequently asked questions

What is the difference between icesSAG and shapviz?

They serve adjacent needs but don't currently overlap on shipped themes. icesSAG and shapviz 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 shapviz?

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

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