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Distributions.jl vs silx

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

Distributions.jl vs silx: at a glance

FeatureDistributions.jlsilx
SectorAnalyticsAnalytics
Velocity score2.55.0
Sparks · 30d00
Top themesjulia, statistics, distributions, automatic-differentiationscientific-computing, data-visualization, synchrotron, qt
Last editorial update7d ago15h ago
WebsiteVisit →Visit →

What is Distributions.jl?

Julia's distribution library grinds forward one distribution at a time

Distributions.jl ships small, frequent releases against a large and settled API surface. Recent work splits between correctness fixes to individual distributions (LogitNormal formulas, Semicircle quantiles, Truncated Chernoff), incremental fitting support such as sufficient statistics and MLE for Chi and Chisq, and infrastructure moves like more consistent error types and global sparsity tracing through constructors.

Read the full Distributions.jl 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 →

Distributions.jl vs silx: editorial side-by-side

D2.5

Julia's distribution library grinds forward one distribution at a time

◆ Current state

Distributions.jl ships small, frequent releases against a large and settled API surface. Recent work splits between correctness fixes to individual distributions (LogitNormal formulas, Semicircle quantiles, Truncated Chernoff), incremental fitting support such as sufficient statistics and MLE for Chi and Chisq, and infrastructure moves like more consistent error types and global sparsity tracing through constructors.

◆ Where it's heading

The arc is consolidation rather than expansion: dependencies are being pruned and internals made more predictable so the package composes cleanly with the rest of the Julia numerical stack. Support for sparsity tracing and looser MvNormal type aliases both point at making the library easier to drive from automatic-differentiation and optimization code.

◆ Prediction

Expect the same cadence of per-distribution fixes and fitting-method additions, with continued work on making constructors transparent to tracing and AD tooling. Nothing in these entries signals a major version or API break.

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 Distributions.jl 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 Distributions.jl or silx.

See all Distributions.jl alternatives → · See all silx alternatives →

Recent activity from Distributions.jl and silx

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

  1. 18h agosilxFitWidget fix for loading a fit function from file
  2. 9d agosilx3.1.0: asinh axis scaling, twilight colormaps, dark-theme icons
  3. 23d agoDistributions.jlLogitNormal comment fix and doc typo cleanup
  4. 1mo agoDistributions.jlLooser MvNormal and MvNormalCanon type aliases
  5. 1mo agoDistributions.jlTruncated Chernoff quantile and sparsity tracing fixes
  6. 2mo agoDistributions.jlSparsity tracing works through distribution constructors
  7. 2mo agoDistributions.jlStatsFuns 2 upgrade and CI action bumps
  8. 3mo agosilx3.0.1: silx view fails to disable HDF5 file locking
  9. 3mo agosilx3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required
  10. 3mo agosilx3.0.0rc1: release candidate for the PySide6 migration
  11. 4mo agoDistributions.jlSufficient statistics and MLE for Chi and Chisq
  12. 1y agosilx2.2.2: plot axes limits, OpenGL axes and libhdf5 1.14 fixes

Frequently asked questions

What is the difference between Distributions.jl and silx?

They serve adjacent needs but don't currently overlap on shipped themes. silx is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 Distributions.jl 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 2.5), 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 Distributions.jl?

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