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filearray vs silx

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

filearray vs silx: at a glance

Featurefilearraysilx
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themeson-disk-arrays, memory-safety, c++, performancescientific-computing, data-visualization, synchrotron, qt
Last editorial update3d 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 silx?

silx settles into maintenance a release after its PySide6 migration

silx is in the quiet phase after a generational release. 3.1.1 is a single fix to FitWidget loading a fit function from file. The release before it, 3.1.0, was the first real feature work since the migration - asinh axis scaling, twilight colormaps, and dark-theme icons - and 3.0.1 was similarly small. The 3.0.0 cut that reset the Qt binding and Python floor still defines what the line is doing.

Read the full silx trajectory →

filearray vs silx: 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
silx
ANALYTICS
5.0

silx settles into maintenance a release after its PySide6 migration

◆ Current state

silx is in the quiet phase after a generational release. 3.1.1 is a single fix to FitWidget loading a fit function from file. The release before it, 3.1.0, was the first real feature work since the migration - asinh axis scaling, twilight colormaps, and dark-theme icons - and 3.0.1 was similarly small. The 3.0.0 cut that reset the Qt binding and Python floor still defines what the line is doing.

◆ Where it's heading

The cadence has slowed markedly since April, and the content has shifted from structural change to plotting and colormap refinement. That is the expected shape after a binding migration: downstream beamline code needs a stable target, so the project trades feature velocity for a quiet surface. The gap between 3.0.1 in May and 3.1.0 in August is the clearest signal of the deliberate slowdown.

◆ Prediction

Expect further point releases servicing the plotting and fitting widgets rather than another structural change, with feature work continuing to arrive in the 3.1.x minors rather than patches.

Alternatives to filearray and silx

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 silx.

See all filearray alternatives → · See all silx alternatives →

Recent activity from filearray and silx

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

  1. 5h agosilxFitWidget fix for loading a fit function from file
  2. 9d agosilx3.1.0: asinh axis scaling, twilight colormaps, dark-theme icons
  3. 2mo agofilearraySegfault on out-of-bound margins fixed
  4. 3mo agosilx3.0.1: silx view fails to disable HDF5 file locking
  5. 3mo agosilx3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required
  6. 3mo agosilx3.0.0rc1: release candidate for the PySide6 migration
  7. 1y agosilx2.2.2: plot axes limits, OpenGL axes and libhdf5 1.14 fixes
  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 silx?

They serve adjacent needs but don't currently overlap on shipped themes. silx is currently shipping more aggressively (velocity 5.0 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 filearray better than silx?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. silx is currently shipping more aggressively (velocity 5.0 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 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 silx?

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