qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
austraits vs filearray
A side-by-side editorial comparison of austraits and filearray — release velocity, themes, recent moves, and the top alternatives to consider.
austraits vs filearray: at a glance
What is austraits?
The R client for AusTraits spends its releases chasing the dataset it reads.
austraits is the R access layer for the AusTraits plant trait database, and its release history is almost entirely a record of keeping pace with two upstream systems it does not control: the austraits.build data releases and the Zenodo archive that hosts them. The most recent release adds a version-dispatch layer so the same package can read both v4.x and v5.0.0 data. Three of the four visible tags were backfilled to GitHub within 23 minutes of each other, so version order and publication order do not agree.
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.
austraits vs filearray: editorial side-by-side
austraits
0.0ANALYTICS
The R client for AusTraits spends its releases chasing the dataset it reads.
◆ Current state
austraits is the R access layer for the AusTraits plant trait database, and its release history is almost entirely a record of keeping pace with two upstream systems it does not control: the austraits.build data releases and the Zenodo archive that hosts them. The most recent release adds a version-dispatch layer so the same package can read both v4.x and v5.0.0 data. Three of the four visible tags were backfilled to GitHub within 23 minutes of each other, so version order and publication order do not agree.
◆ Where it's heading
The package is converging on a stable public vocabulary and a versioned internal. Sites became locations across every join, plot and extract function; the extract_ and print family filled out at 1.0.0; and by 2.2.2 the core functions each carry a switch on the detected data version rather than assuming one schema. The visible cost of that is dependency churn — plotting packages moved to Suggests, which the notes admit can leave core functions unable to run.
◆ Prediction
Given that every release so far has been triggered by an upstream austraits.build or Zenodo change, the next one most likely follows the next data release rather than any independent roadmap. The entries do not indicate new analysis capability being planned in the client itself.
filearray
0.0ANALYTICS
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.
Alternatives to austraits and filearray
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 austraits or filearray.
constants
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
ggdemetra
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
fossilsim
A fossil-record simulator that quietly grew a trait-evolution engine.
tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
tern.mmrm
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
See all austraits alternatives → · See all filearray alternatives →
Recent activity from austraits and filearray
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agofilearraySegfault on out-of-bound margins fixed
- 2y agoaustraitsSupport for AusTraits 5.0.0 data and the rebuilt Zenodo API
- 3y agofilearrayLazy operator evaluation and macOS parallelism
- 3y agoaustraitsextract_taxa, lookup_trait and print methods arrive
- 3y agoaustraitsVignette build and extract_ function polish
- 3y agoaustraitssite becomes location across the API; AusTraits 3.0.2+ support
- 3y agofilearraySequential read bug in fmap corrected
- 4y agofilearrayPartition limit removed by opening files on demand
- 4y agofilearrayHeader signatures and symbolic link detection
- 4y agofilearrayFlush timing left to the operating system
Frequently asked questions
What is the difference between austraits and filearray?
They serve adjacent needs but don't currently overlap on shipped themes. austraits and filearray 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 austraits better than filearray?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. austraits and filearray 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 austraits?
Top austraits alternatives in Analytics are ranked by recent ship velocity. Browse the "austraits alternatives" section above for the current picks, or visit /alternatives/austraits-r for the full list with editorial commentary on each.
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.