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fastplyr vs rncl

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

fastplyr vs rncl: at a glance

Featurefastplyrrncl
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesdataframe-performance, dplyr-alternative, query-optimization, cran-policyphylogenetics, file-parsing, cran-maintenance, c++
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

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.

Read the full fastplyr trajectory →

What is rncl?

A phylogenetics parser on life support, shipping only what CRAN's compilers demand.

rncl wraps the Nexus Class Library so R can read Newick and NEXUS tree files. Every release since 2016 has been custodial: 0.8.9 exists solely to pull upstream NCL changes so the bundled C++ compiles under the C++20 standard. No user-facing function has changed in close to a decade.

Read the full rncl trajectory →

fastplyr vs rncl: editorial side-by-side

F
fastplyr
ANALYTICS
0.0

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.

R
rncl
ANALYTICS
2.5

A phylogenetics parser on life support, shipping only what CRAN's compilers demand.

◆ Current state

rncl wraps the Nexus Class Library so R can read Newick and NEXUS tree files. Every release since 2016 has been custodial: 0.8.9 exists solely to pull upstream NCL changes so the bundled C++ compiles under the C++20 standard. No user-facing function has changed in close to a decade.

◆ Where it's heading

The release cadence tracks toolchain deprecations rather than user demand: gcc 12 removing binary_function in 2022, a deprecated Rcpp call in 2025, C++20 in 2026. The package is maintained as a stable parsing dependency for phylogenetics tooling, and the goal visible in these entries is keeping it installable, not extending it.

◆ Prediction

Expect the next release only when a compiler or CRAN policy change breaks the build again; nothing in these entries points to new parsing features.

Alternatives to fastplyr and rncl

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 rncl.

See all fastplyr alternatives → · See all rncl alternatives →

Recent activity from fastplyr and rncl

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

  1. 15d agornclNCL sources refreshed for C++20 compilation
  2. 4mo agofastplyrNon-API C functions dropped, R 4.5.0 now required
  3. 8mo agornclDeprecated Rcpp call removed in maintenance release
  4. 8mo agofastplyrIn-place sorting arrives with a C++17 requirement
  5. 10mo agofastplyrGroup-unaware expressions evaluated on the whole frame
  6. 1y agofastplyrf_mutate and f_reframe complete the verb set
  7. 1y agofastplyrDynamic argument evaluation and f_pull
  8. 1y agofastplyrf_fill added and grouped joins repaired
  9. 4y agornclBuild fixed for gcc 12 and clang 14
  10. 6y agornclMaintenance release clearing CRAN check warnings
  11. 8y agornclCRAN check notes and warnings cleared
  12. 9y agornclSingleton removal moves to C++ for a 3x speedup

Frequently asked questions

What is the difference between fastplyr and rncl?

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

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

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