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hubPredEvalsData vs silx

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

hubPredEvalsData vs silx: at a glance

FeaturehubPredEvalsDatasilx
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesforecast-evaluation, hubverse, configuration, dashboardsscientific-computing, data-visualization, synchrotron, qt
Last editorial update2d ago1h ago
WebsiteVisit →Visit →

What is hubPredEvalsData?

The pipeline turning hub forecasts into dashboard-ready evaluation data.

hubPredEvalsData generates the scored evaluation data that hubverse prediction dashboards read, driven by a predevals-config.yml and scoring through hubEvals underneath. It is the youngest package in this part of the stack and the fastest-moving in configuration terms, having already passed a breaking 1.0.0 and a schema-versioned feature addition. Its output contract is a scores.csv file consumed downstream, which shapes what its releases care about.

Read the full hubPredEvalsData 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 →

hubPredEvalsData vs silx: editorial side-by-side

H0.0

The pipeline turning hub forecasts into dashboard-ready evaluation data.

◆ Current state

hubPredEvalsData generates the scored evaluation data that hubverse prediction dashboards read, driven by a predevals-config.yml and scoring through hubEvals underneath. It is the youngest package in this part of the stack and the fastest-moving in configuration terms, having already passed a breaking 1.0.0 and a schema-versioned feature addition. Its output contract is a scores.csv file consumed downstream, which shapes what its releases care about.

◆ Where it's heading

Each release widens what the config file can express — round selection, then scale transformations with per-target overrides, then target labelling pulled from the hub's own task metadata. The pattern is consistent: capability that already exists in hubEvals gets a declarative surface here so hub maintainers configure it rather than write code. Recent attention to byte-stable output ordering shows the file is being treated as a reproducible artifact, not just a report.

◆ Prediction

Expect the config schema to keep absorbing hubEvals capabilities as declarative options, with continued attention to making scores.csv reproducible and diffable between runs.

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 hubPredEvalsData 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 hubPredEvalsData or silx.

See all hubPredEvalsData alternatives → · See all silx alternatives →

Recent activity from hubPredEvalsData 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. 1mo agohubPredEvalsDataTarget names pulled from hub metadata; scores.csv made byte-stable
  4. 2mo agohubPredEvalsDataVersioned target data with an as_of column no longer fails scoring
  5. 2mo agohubPredEvalsDataScale transformations become configurable per target
  6. 3mo agosilx3.0.1: silx view fails to disable HDF5 file locking
  7. 3mo agosilx3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required
  8. 3mo agosilx3.0.0rc1: release candidate for the PySide6 migration
  9. 4mo agohubPredEvalsDataMulti-round hub support via a required rounds_idx property (breaking)
  10. 1y agosilx2.2.2: plot axes limits, OpenGL axes and libhdf5 1.14 fixes

Frequently asked questions

What is the difference between hubPredEvalsData 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 hubPredEvalsData 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 hubPredEvalsData?

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