mrbayes
mrbayes spent 2026 auditing its own Bayesian MR estimators for coding errors.
Comparison · Analytics
ggsci vs n2khab
A side-by-side editorial comparison of ggsci and n2khab — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r
ggsci vs n2khab: at a glance
What is ggsci?
ggsci quietly became a palette mirror, then taught itself to generate colors on demand
ggsci ships ready-made ggplot2 color scales, originally journal and sci-fi palettes and now overwhelmingly terminal themes — the iTerm collection has grown past 400 entries and picks up 30 to 70 more with each sync. The one structural change in the recent run is gephi_palettes(), which generates distinct categorical colors for an arbitrary number of levels rather than serving a fixed list. Release cadence is steady, roughly every six to eight weeks.
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.
ggsci vs n2khab: editorial side-by-side
ggsci
2.5ANALYTICS
ggsci quietly became a palette mirror, then taught itself to generate colors on demand
◆ Current state
ggsci ships ready-made ggplot2 color scales, originally journal and sci-fi palettes and now overwhelmingly terminal themes — the iTerm collection has grown past 400 entries and picks up 30 to 70 more with each sync. The one structural change in the recent run is gephi_palettes(), which generates distinct categorical colors for an arbitrary number of levels rather than serving a fixed list. Release cadence is steady, roughly every six to eight weeks.
◆ Where it's heading
Two threads run in parallel. The larger one is curation: ggsci has effectively become a distribution channel for upstream color work, adding design-system palettes (Primer, Atlassian, Bootstrap, Tailwind) and re-syncing iTerm as that project changes, including correcting existing color values when upstream moves. The smaller and more interesting one is generation — the Gephi engine sidesteps the ceiling every fixed palette has, which is what happens when a plot needs more categories than any curated set provides.
◆ Prediction
Given how much of the release notes each cycle is a mechanical upstream sync, the plausible next step is automating those syncs rather than adding another vendor palette by hand; the Gephi generator is the more likely place any genuinely new capability appears.
n2khab
0.0ANALYTICS
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.
Alternatives to ggsci and n2khab
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 ggsci or n2khab.
lineup2
lineup2 ships once every few years, and 2026's release is a logo and a core-count tweak.
stringi
stringi has spent two years on build hardening since its Unicode 15.1 reset.
OHPL
A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
fastplyr
A fast dplyr stand-in that keeps finding new places to skip work entirely.
trias
Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.
See all ggsci alternatives → · See all n2khab alternatives →
Recent activity from ggsci and n2khab
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 15d agoggsciggsci 5.2.0
- 1mo agon2khabn2khab 0.15.1
- 1mo agoggsciggsci 5.1.0
- 1mo agon2khabn2khab drops an argument built on a wrong ecological assumption
- 4mo agoggsciggsci 5.0.0 generates categorical colors instead of serving a fixed list ⚡
- 4mo agoggsciggsci 4.3.0
- 5mo agon2khabn2khab adds a reader for the watersurfaces reference points source
- 7mo agon2khabn2khab collapses watersurfaces output to unique polygon-type pairs
- 8mo agoggsciggsci 4.2.0
- 9mo agoggsciggsci 4.1.0
- 1y agon2khabSupport for watersurfaces 2024 and watersurfaces_hab v6
- 1y agon2khabn2khab supports the 2023 habitat maps and drops the rbbvos+ type
Frequently asked questions
What is the difference between ggsci and n2khab?
Both compete on the same themes — r — within Analytics. ggsci is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is ggsci better than n2khab?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggsci is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to ggsci?
Top ggsci alternatives in Analytics are ranked by recent ship velocity. Browse the "ggsci alternatives" section above for the current picks, or visit /alternatives/ggsci for the full list with editorial commentary on each.
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.