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Comparison · Analytics
fastplyr vs n2khab
A side-by-side editorial comparison of fastplyr and n2khab — release velocity, themes, recent moves, and the top alternatives to consider.
fastplyr vs n2khab: at a glance
What is fastplyr?
A fast dplyr stand-in that keeps finding new places to skip work entirely.
fastplyr reimplements the dplyr verbs on a faster backend, exposing f_summarise, f_mutate, f_reframe and a set of group metadata helpers alongside optimized joins and quantiles. The most recent release removes non-API C functions and raises the floor to R 4.5.0, a steep requirement that follows the C++17 requirement introduced a release earlier. The verb surface itself has been stable since 0.9.0.
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.
fastplyr vs n2khab: editorial side-by-side
fastplyr
0.0ANALYTICS
A fast dplyr stand-in that keeps finding new places to skip work entirely.
◆ Current state
fastplyr reimplements the dplyr verbs on a faster backend, exposing f_summarise, f_mutate, f_reframe and a set of group metadata helpers alongside optimized joins and quantiles. The most recent release removes non-API C functions and raises the floor to R 4.5.0, a steep requirement that follows the C++17 requirement introduced a release earlier. The verb surface itself has been stable since 0.9.0.
◆ Where it's heading
The optimization strategy has shifted from making individual functions fast to reasoning about expressions before evaluating them — 0.9.9 began marking simple operators as group-unaware so expressions built only from them are evaluated across the whole data frame rather than per group. That is a structural bet: the package increasingly inspects what you wrote to decide how much work is actually needed. Running alongside it is a steady tightening of build requirements, with C++17, R 4.5.0 and CRAN's C API rules all landing within a year.
◆ Prediction
Expect the group-unaware classification to widen to more functions, since each addition compounds across every grouped expression, and expect the dependency floors to keep rising as the package tracks CRAN's compiled-code policy.
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 fastplyr 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 fastplyr or n2khab.
cheapr
cheapr turned multi-threaded, and its next stop is a C++20 public API.
RadialMR
RadialMR's 2026 release corrects degrees of freedom that had been wrong since documentation.
mrbayes
mrbayes spent 2026 auditing its own Bayesian MR estimators for coding errors.
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.
See all fastplyr alternatives → · See all n2khab alternatives →
Recent activity from fastplyr and n2khab
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agon2khabn2khab 0.15.1
- 1mo agon2khabn2khab drops an argument built on a wrong ecological assumption
- 4mo agofastplyrNon-API C functions dropped, R 4.5.0 now required
- 5mo agon2khabn2khab adds a reader for the watersurfaces reference points source
- 7mo agon2khabn2khab collapses watersurfaces output to unique polygon-type pairs
- 8mo agofastplyrIn-place sorting arrives with a C++17 requirement
- 10mo agofastplyrGroup-unaware expressions evaluated on the whole frame
- 1y agofastplyrf_mutate and f_reframe complete the verb set
- 1y agon2khabSupport for watersurfaces 2024 and watersurfaces_hab v6
- 1y agofastplyrDynamic argument evaluation and f_pull
- 1y agofastplyrf_fill added and grouped joins repaired
- 1y agon2khabn2khab supports the 2023 habitat maps and drops the rbbvos+ type
Frequently asked questions
What is the difference between fastplyr and n2khab?
They serve adjacent needs but don't currently overlap on shipped themes. fastplyr and n2khab 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 fastplyr better than n2khab?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fastplyr and n2khab 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 fastplyr?
Top fastplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "fastplyr alternatives" section above for the current picks, or visit /alternatives/fastplyr 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.