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filearray vs scoringutils

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

filearray vs scoringutils: at a glance

Featurefilearrayscoringutils
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeson-disk-arrays, memory-safety, c++, performanceforecast evaluation, probabilistic scoring, multivariate forecasts, s3 classes
Last editorial update46m ago2h ago
WebsiteVisit →Visit →

What is filearray?

The on-disk array layer under RAVE spends its releases hunting segfaults.

filearray stores large arrays on disk and reads them back with little memory overhead, serving as the storage substrate for the RAVE intracranial EEG stack. The 0.2.2 release fixes out-of-bound indexing that caused segfaults along certain margins and an ASAN-flagged signed integer overflow in the load path. The user-facing API has been stable since 0.1.6.

Read the full filearray trajectory →

What is scoringutils?

scoringutils pushes forecast scoring past univariate outcomes into multivariate and ordinal ones.

scoringutils evaluates probabilistic forecasts in R. Since the 2.0.0 rewrite it is organised around typed forecast objects — quantile, sample, binary, point, nominal — built by as_forecast_<type>() constructors and scored through S3 methods. Version 2.2.0 adds multivariate sample and point types with the variogram score, and 2.1.0 added ordinal forecasts.

Read the full scoringutils trajectory →

filearray vs scoringutils: editorial side-by-side

F
filearray
ANALYTICS
0.0

The on-disk array layer under RAVE spends its releases hunting segfaults.

◆ Current state

filearray stores large arrays on disk and reads them back with little memory overhead, serving as the storage substrate for the RAVE intracranial EEG stack. The 0.2.2 release fixes out-of-bound indexing that caused segfaults along certain margins and an ASAN-flagged signed integer overflow in the load path. The user-facing API has been stable since 0.1.6.

◆ Where it's heading

This is infrastructure whose release history reads as a memory-safety log: unprotected C++ variables, buffer sizes exceeding array length, allocations one byte short, endianness on big-endian platforms, and now out-of-bound margins caught by sanitizers. The one sustained feature direction is reducing the cost of operating on arrays too large for memory — lazy operator evaluation through a proxy class, fmap-style application, and marginal collapse. Portability work has steadily removed hard requirements, dropping the C++11 declaration and swapping OpenMP for TinyThreads to get parallelism on macOS.

◆ Prediction

Expect continued sanitizer-driven patches rather than new interfaces; the three-year gap before 0.2.2 suggests releases now arrive only when a crash or a CRAN check demands one.

S
scoringutils
ANALYTICS
0.0

scoringutils pushes forecast scoring past univariate outcomes into multivariate and ordinal ones.

◆ Current state

scoringutils evaluates probabilistic forecasts in R. Since the 2.0.0 rewrite it is organised around typed forecast objects — quantile, sample, binary, point, nominal — built by as_forecast_<type>() constructors and scored through S3 methods. Version 2.2.0 adds multivariate sample and point types with the variogram score, and 2.1.0 added ordinal forecasts.

◆ Where it's heading

The forecast-type system introduced in 2.0.0 is the engine of everything since: each release fits another outcome shape into it rather than reworking the scoring interface. Multivariate support is the largest of those additions because it scores the dependence structure between variables, not just marginal accuracy. Type and constructor names are still being reconciled — forecast_sample_multivariate was renamed to forecast_multivariate_sample with a deprecation window.

◆ Prediction

Expect further forecast types and metrics slotted into the same constructor pattern, and the deprecated forecast_sample_multivariate alias and is_forecast_sample_multivariate() to be removed once that window closes.

Alternatives to filearray and scoringutils

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 filearray or scoringutils.

See all filearray alternatives → · See all scoringutils alternatives →

Recent activity from filearray and scoringutils

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

  1. 2mo agofilearraySegfault on out-of-bound margins fixed
  2. 4mo agoscoringutilsMultivariate forecast scoring and the variogram score
  3. 11mo agoscoringutilsQuantile levels rounded to avoid float duplicates
  4. 1y agoscoringutilsOptional p-values in pairwise comparisons; PIT fix
  5. 1y agoscoringutilsOrdinal forecasts get their own class and metrics
  6. 1y agoscoringutilsRewrite: typed forecast objects and pluggable metrics
  7. 2y agoscoringutilsTwo bug fixes and package-site infrastructure
  8. 3y agofilearrayLazy operator evaluation and macOS parallelism
  9. 3y agofilearraySequential read bug in fmap corrected
  10. 4y agofilearrayPartition limit removed by opening files on demand
  11. 4y agofilearrayHeader signatures and symbolic link detection
  12. 4y agofilearrayFlush timing left to the operating system

Frequently asked questions

What is the difference between filearray and scoringutils?

They serve adjacent needs but don't currently overlap on shipped themes. filearray and scoringutils 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 filearray better than scoringutils?

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

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

What are the best alternatives to scoringutils?

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