← Back to home
Comparison · Analytics

edina vs silx

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

edina vs silx: at a glance

Featureedinasilx
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themespsychometrics, r-package, maintenance, cran-compliancescientific-computing, data-visualization, synchrotron, qt
Last editorial update2d ago1h ago
WebsiteVisit →Visit →

What is edina?

A finished psychometric estimator kept alive by toolchain upkeep, not new modeling work.

edina is a single-purpose Rcpp/Armadillo implementation of the Exploratory DINA model, feature-complete since its 2020 debut. Its entire visible surface — estimation plus Q-matrix comparison across k values — has not changed in five years. The only 2025 activity is a maintenance release that raises the R, Rcpp and RcppArmadillo floors so the package still compiles.

Read the full edina 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 →

edina vs silx: editorial side-by-side

E
edina
ANALYTICS
0.0

A finished psychometric estimator kept alive by toolchain upkeep, not new modeling work.

◆ Current state

edina is a single-purpose Rcpp/Armadillo implementation of the Exploratory DINA model, feature-complete since its 2020 debut. Its entire visible surface — estimation plus Q-matrix comparison across k values — has not changed in five years. The only 2025 activity is a maintenance release that raises the R, Rcpp and RcppArmadillo floors so the package still compiles.

◆ Where it's heading

The gap between 0.1.1 and 0.1.2 is over five years, and 0.1.2 contains no modeling changes at all: dependency floors, a Makevars cleanup for newer Armadillo, a Quarto README, a CITATION fix for CRAN notes, and refreshed CI. This is custodial maintenance of a research artifact rather than active development. The same release landed across the maintainer's other packages the same morning — rrum got a near-identical body ten minutes earlier — which marks it as a lab-wide compatibility sweep, not an edina-specific push.

◆ Prediction

Expect the next release to be another compatibility bump triggered by an Armadillo or Rcpp change rather than new estimation features, on a similar multi-year cadence.

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 edina 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 edina or silx.

See all edina alternatives → · See all silx alternatives →

Recent activity from edina and silx

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

  1. 4h agosilxFitWidget fix for loading a fit function from file
  2. 9d agosilx3.1.0: asinh axis scaling, twilight colormaps, dark-theme icons
  3. 3mo agosilx3.0.1: silx view fails to disable HDF5 file locking
  4. 3mo agosilx3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required
  5. 3mo agosilx3.0.0rc1: release candidate for the PySide6 migration
  6. 10mo agoedinaedina 0.1.2 - Maintenance Release
  7. 1y agosilx2.2.2: plot axes limits, OpenGL axes and libhdf5 1.14 fixes
  8. 6y agoedinaSolaris build fix and CRAN badges
  9. 6y agoedinaEDINA model estimation with Q-matrix comparison arrives

Frequently asked questions

What is the difference between edina 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 edina 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 edina?

Top edina alternatives in Analytics are ranked by recent ship velocity. Browse the "edina alternatives" section above for the current picks, or visit /alternatives/edina 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.