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broadcast vs cheapr

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

Shared themes:r-package

broadcast vs cheapr: at a glance

Featurebroadcastcheapr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesarray-broadcasting, rcpp, type-consistency, linear-algebraperformance, parallelism, simd, c-api
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is broadcast?

broadcast is filling in NumPy-style array broadcasting for R, operator by operator.

broadcast brings dimension-broadcasting semantics to R arrays and lists — elementwise operations between arrays of mismatched shape, plus casting methods between hierarchical lists and dimensional structures. It reached CRAN in September 2025 and has released roughly monthly since, accumulating operators (nor, nand, longest common substring), casting methods (cast_shallow2atomic, cast_hier2dim, hiernames2dimnames), and helpers (vector2array, undim, mbroadcasters).

Read the full broadcast trajectory →

What is cheapr?

cheapr turned multi-threaded, and its next stop is a C++20 public API.

cheapr supplies lower-overhead replacements for base R's data manipulation primitives — subsetting, recycling, concatenation, attribute handling, data frame construction. Through 2025 it grew function by function: sset_df/sset_row/sset_col, list_as_df, cheapr_c, counts, str_coalesce, df_modify. The 1.5.0 release in April 2026 changed the nature of the package, adding parallelised math functions, user-settable thread counts, multi-threaded vector initialisers, and a SIMD-parallelised if_else_, with threading on by default at two threads.

Read the full cheapr trajectory →

broadcast vs cheapr: editorial side-by-side

B
broadcast
ANALYTICS
0.0

broadcast is filling in NumPy-style array broadcasting for R, operator by operator.

◆ Current state

broadcast brings dimension-broadcasting semantics to R arrays and lists — elementwise operations between arrays of mismatched shape, plus casting methods between hierarchical lists and dimensional structures. It reached CRAN in September 2025 and has released roughly monthly since, accumulating operators (nor, nand, longest common substring), casting methods (cast_shallow2atomic, cast_hier2dim, hiernames2dimnames), and helpers (vector2array, undim, mbroadcasters).

◆ Where it's heading

The package is in its post-launch consolidation year, and the release notes read accordingly: roughly half of each entry is a consistency correction rather than an addition. Zero-length results now carry the right type, comparison operators accept integer and logical inputs, the comment attribute survives operations, and the nand operator was found to be wrongly defined against C++ short-circuit evaluation. That ratio is what a young package looks like while its edge cases are being found.

◆ Prediction

Expect more operators and casting methods on the same cadence, with continued type-consistency corrections as users exercise unusual input combinations. Nothing in the entries points at an architectural change.

C
cheapr
ANALYTICS
0.0

cheapr turned multi-threaded, and its next stop is a C++20 public API.

◆ Current state

cheapr supplies lower-overhead replacements for base R's data manipulation primitives — subsetting, recycling, concatenation, attribute handling, data frame construction. Through 2025 it grew function by function: sset_df/sset_row/sset_col, list_as_df, cheapr_c, counts, str_coalesce, df_modify. The 1.5.0 release in April 2026 changed the nature of the package, adding parallelised math functions, user-settable thread counts, multi-threaded vector initialisers, and a SIMD-parallelised if_else_, with threading on by default at two threads.

◆ Where it's heading

Two arcs run at once. The visible one is parallelism: what began as single-threaded C shortcuts is becoming a threaded compute layer, and the notes state the C/C++ API is mid-rewrite with a stable form promised at 2.0.0 behind a C++20 requirement. The quieter one is R C API compliance — 1.5.1 removed R_MissingArg, R_UnboundValue, Rf_findVar and Rf_findVarinFrame, the non-API entry points being closed off upstream. The 1.5.x patches since are narrow crash fixes, which reads as consolidation before the 2.0.0 break.

◆ Prediction

Expect 2.0.0 to land the stable C/C++ API behind a C++20 toolchain floor, with more of the existing function surface threaded in the interim. The package has announced both moves in its own release notes.

Alternatives to broadcast and cheapr

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 broadcast or cheapr.

See all broadcast alternatives → · See all cheapr alternatives →

Recent activity from broadcast and cheapr

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

  1. 1mo agocheaprrep_len_ crash on shrinking lengths fixed
  2. 2mo agobroadcastnor and longest-common-substring operators added; nand corrected
  3. 4mo agocheaprNon-API R internals removed
  4. 4mo agocheaprParallelised math, thread control, and a C API rewrite
  5. 5mo agobroadcastcheckNULL, checkNA and ecumprob added
  6. 8mo agobroadcastZero-length results and attribute preservation made consistent
  7. 9mo agobroadcastacast dimnames bug fixed; casting and helper surface widens
  8. 10mo agobroadcastrecurse_classed replaced by recurse_all in casting methods
  9. 11mo agobroadcastTitle case fixed for CRAN submission
  10. 1y agocheaprSubsetting speedups; sset_col negative-index crash fixed
  11. 1y agocheaprdf_modify added; attribute helpers renamed for intent
  12. 1y agocheaprcounts and str_coalesce added; reconstruct renamed to rebuild

Frequently asked questions

What is the difference between broadcast and cheapr?

Both compete on the same themes — r-package — within Analytics. broadcast and cheapr 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 broadcast better than cheapr?

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

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

What are the best alternatives to cheapr?

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