← Back to home
Comparison · Analytics

silx vs tulpa

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

silx vs tulpa: at a glance

Featuresilxtulpa
SectorAnalyticsAnalytics
Velocity score5.07.5
Sparks · 30d02
Top themesscientific-computing, data-visualization, synchrotron, qtbayesian-inference, cran-release, r-packages, spatial-modeling
Last editorial update10h ago1h ago
WebsiteVisit →Visit →

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 →

What is tulpa?

The 0.0.x train stops at CRAN: tulpa's engine ships to the ecosystem it already anchors.

tulpa is the C++/R Bayesian spatial inference engine sitting under gcol33's family of ecological occupancy packages, tagging 0.0.x releases several times a week. 0.1.0 is its first CRAN release, and the notes state outright that the engine surface is unchanged from 0.0.198 — the work is packaging discipline: local T bindings rebound to n_t/n_times, OpenMP teams capped under R CMD check, the pkgdown deploy narrowed, an aspell dictionary added. The window behind it splits between the S3 generics conversion and numerical-correctness work in the nested-Laplace grid.

Read the full tulpa trajectory →

silx vs tulpa: editorial side-by-side

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.

T
tulpa
ANALYTICS
7.5

The 0.0.x train stops at CRAN: tulpa's engine ships to the ecosystem it already anchors.

◆ Current state

tulpa is the C++/R Bayesian spatial inference engine sitting under gcol33's family of ecological occupancy packages, tagging 0.0.x releases several times a week. 0.1.0 is its first CRAN release, and the notes state outright that the engine surface is unchanged from 0.0.198 — the work is packaging discipline: local T bindings rebound to n_t/n_times, OpenMP teams capped under R CMD check, the pkgdown deploy narrowed, an aspell dictionary added. The window behind it splits between the S3 generics conversion and numerical-correctness work in the nested-Laplace grid.

◆ Where it's heading

Two moves in nine days point at the same destination: the generics conversion made tulpa extensible by downstream packages, and CRAN admission makes it installable by them. The current cadence — several tags a week, some existing only to record a measurement that produced no code change — does not survive CRAN's submission overhead, so the release rhythm has to slow whether or not the project intends it. The correctness work still clusters on the joint nested-Laplace driver, and 0.1.0 extends the same diagnostics habit with .NL_AXIS_SD_REASONS, a closed vocabulary for an outer axis whose grid does not contain its own posterior mode.

◆ Prediction

Expect tulpaObs to follow tulpa onto CRAN, since it is the consumer whose registrations the engine has spent this window unblocking, and expect the version line to move in larger, less frequent steps now that each one carries a submission.

Alternatives to silx and tulpa

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 silx or tulpa.

See all silx alternatives → · See all tulpa alternatives →

Recent activity from silx and tulpa

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

  1. 11h agotulpaFirst CRAN release: engine surface unchanged from 0.0.198
  2. 13h agosilxFitWidget fix for loading a fit function from file
  3. 4d agotulpatulpa_re_aghq() exposes the mode/theta cross-Hessian
  4. 7d agotulpaDense batched joint path could silently drop a grid cell
  5. 8d agotulpaCalibration and goodness-of-fit entry points become S3 generics
  6. 9d agotulpaCUDA backend had two definitions; link order decided if it ran
  7. 9d agotulpaHyperparameter bounds now flag when they leave the node range
  8. 9d agosilx3.1.0: asinh axis scaling, twilight colormaps, dark-theme icons
  9. 3mo agosilx3.0.1: silx view fails to disable HDF5 file locking
  10. 3mo agosilx3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required
  11. 3mo agosilx3.0.0rc1: release candidate for the PySide6 migration
  12. 1y agosilx2.2.2: plot axes limits, OpenGL axes and libhdf5 1.14 fixes

Frequently asked questions

What is the difference between silx and tulpa?

They serve adjacent needs but don't currently overlap on shipped themes. tulpa is currently shipping more aggressively (velocity 7.5 vs 5.0), with 2 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 silx better than tulpa?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. tulpa is currently shipping more aggressively (velocity 7.5 vs 5.0), with 2 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 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.

What are the best alternatives to tulpa?

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