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mcmcensemble vs silx

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

mcmcensemble vs silx: at a glance

Featuremcmcensemblesilx
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesmcmc, bayesian-inference, ensemble-sampling, reproducibilityscientific-computing, data-visualization, synchrotron, qt
Last editorial update2d ago1h ago
WebsiteVisit →Visit →

What is mcmcensemble?

An ensemble sampler just admitted its walkers were barely talking to each other.

mcmcensemble provides affine-invariant ensemble MCMC samplers — differential evolution and stretch move — behind a single MCMCEnsemble() entry point. The API consolidated in 3.0.0 around a flexible inits argument and a hidden internal surface, with parallelism delegated to the future framework. The 2025 release fixed a defect in the sampling behaviour itself, and results now differ from every earlier version.

Read the full mcmcensemble 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 →

mcmcensemble vs silx: editorial side-by-side

M
mcmcensemble
ANALYTICS
0.0

An ensemble sampler just admitted its walkers were barely talking to each other.

◆ Current state

mcmcensemble provides affine-invariant ensemble MCMC samplers — differential evolution and stretch move — behind a single MCMCEnsemble() entry point. The API consolidated in 3.0.0 around a flexible inits argument and a hidden internal surface, with parallelism delegated to the future framework. The 2025 release fixed a defect in the sampling behaviour itself, and results now differ from every earlier version.

◆ Where it's heading

Development has moved from packaging to statistics. The early releases were about shape: a rename, argument alignment, moving coda to Suggests, adding tests, then parallel execution and named-vector support. The 3.0.0 release closed the API down to one wrapper and generalised initialisation. What is left, as 3.2.0 shows, is the correctness of the sampler itself — walker correlation, ergodicity checks, and grid artefacts in the differential evolution step were all addressed in a single release, all reported by one contributor. The package is being audited rather than extended.

◆ Prediction

Further sampler-behaviour fixes are the most likely next move, since three separate correctness issues surfaced together in the last release and the package's API has been stable since 3.0.0.

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 mcmcensemble 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 mcmcensemble or silx.

See all mcmcensemble alternatives → · See all silx alternatives →

Recent activity from mcmcensemble 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. 1y agomcmcensembleWalker correlation bug fixed, changing results at any seed
  7. 1y agosilx2.2.2: plot axes limits, OpenGL axes and libhdf5 1.14 fixes
  8. 2y agomcmcensembleClearer error when only one walker is supplied
  9. 2y agomcmcensembleAPI narrows to one entry point with flexible initialisation
  10. 5y agomcmcensembleNamed parameter vectors and recorded sampler metadata
  11. 5y agomcmcensembleParallel ensemble sampling via the future framework
  12. 5y agomcmcensemblePackage renamed to mcmcensemble with aligned arguments and tests

Frequently asked questions

What is the difference between mcmcensemble 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 mcmcensemble 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 mcmcensemble?

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