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n2khab vs shapviz

A side-by-side editorial comparison of n2khab and shapviz — release velocity, themes, recent moves, and the top alternatives to consider.

n2khab vs shapviz: at a glance

Featuren2khabshapviz
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesnatura 2000, r, habitat mapping, reproducible researchshap, visualization, model explainability, ggplot2
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is n2khab?

n2khab keeps retracting interpretations of habitat data it can't actually support

n2khab reads and prepares the standardised Flemish Natura 2000 habitat data sources — habitat maps, water surfaces, GRTS master grids — for reproducible analysis. Releases track the publication of new versioned data sources on Zenodo, but the more consequential ones change how the package interprets what it reads. The latest removes an argument outright after the reasoning behind it was found to be wrong.

Read the full n2khab 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 →

n2khab vs shapviz: editorial side-by-side

N
n2khab
ANALYTICS
0.0

n2khab keeps retracting interpretations of habitat data it can't actually support

◆ Current state

n2khab reads and prepares the standardised Flemish Natura 2000 habitat data sources — habitat maps, water surfaces, GRTS master grids — for reproducible analysis. Releases track the publication of new versioned data sources on Zenodo, but the more consequential ones change how the package interprets what it reads. The latest removes an argument outright after the reasoning behind it was found to be wrong.

◆ Where it's heading

Two forces shape the package. The first is external: each new habitatmap or watersurfaces vintage needs a supported reader, and the package has absorbed a steady stream of them. The second is a willingness to break its own API when the ecology does not support what the code claimed — the interpreted argument removed because type 3130 occurrences cannot be resolved to a single subtype, the rbbvos+ type dropped as too loosely defined, the collapse default changed to match how users actually need the output shaped. Return structures are also being normalised so element names no longer vary with data source version.

◆ Prediction

The package has said it expects future watersurfaces_hab versions to implement collapsing in the data source itself, so the corresponding argument is a candidate for removal once that lands — the same path the interpreted argument took.

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 n2khab 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 n2khab or shapviz.

See all n2khab alternatives → · See all shapviz alternatives →

Recent activity from n2khab and shapviz

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

  1. 1mo agon2khabn2khab 0.15.1
  2. 1mo agon2khabn2khab drops an argument built on a wrong ecological assumption
  3. 5mo agon2khabn2khab adds a reader for the watersurfaces reference points source
  4. 7mo agon2khabn2khab collapses watersurfaces output to unique polygon-type pairs
  5. 10mo agoshapvizggplot 4.0 compatibility fix
  6. 1y agoshapvizFixes duplicated bars in sv_interaction()
  7. 1y agoshapvizggplot2 and patchwork dependency bumps
  8. 1y agoshapvizShared y-axis control and bar-style interaction plots
  9. 1y agoshapvizH2O random forests gain TreeSHAP support
  10. 1y agon2khabSupport for watersurfaces 2024 and watersurfaces_hab v6
  11. 1y agoshapvizFixes a broken vignette link
  12. 1y agon2khabn2khab supports the 2023 habitat maps and drops the rbbvos+ type

Frequently asked questions

What is the difference between n2khab and shapviz?

They serve adjacent needs but don't currently overlap on shipped themes. n2khab 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 n2khab better than shapviz?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. n2khab 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 n2khab?

Top n2khab alternatives in Analytics are ranked by recent ship velocity. Browse the "n2khab alternatives" section above for the current picks, or visit /alternatives/n2khab 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.