← Back to home
Comparison · Analytics

omopsketch vs silx

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

omopsketch vs silx: at a glance

Featureomopsketchsilx
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesomop-cdm, health-data, database, r-packagescientific-computing, data-visualization, synchrotron, qt
Last editorial update3d ago3h ago
WebsiteVisit →Visit →

What is omopsketch?

Health-data characterisation tooling maturing through steady issue-by-issue tightening.

OmopSketch summarises and characterises OMOP Common Data Model databases — clinical records, observation periods, concept counts and missing data. Recent releases have tightened the semantics of those summaries: only records within observation are counted, study ranges are trimmed consistently, and a collect() was removed so more of the work stays in the database. Development is dominated by a single contributor working through numbered issues.

Read the full omopsketch 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 →

omopsketch vs silx: editorial side-by-side

O
omopsketch
ANALYTICS
0.0

Health-data characterisation tooling maturing through steady issue-by-issue tightening.

◆ Current state

OmopSketch summarises and characterises OMOP Common Data Model databases — clinical records, observation periods, concept counts and missing data. Recent releases have tightened the semantics of those summaries: only records within observation are counted, study ranges are trimmed consistently, and a collect() was removed so more of the work stays in the database. Development is dominated by a single contributor working through numbered issues.

◆ Where it's heading

The package is moving from producing summaries toward producing defensible ones. Interval-based arguments replaced the narrower year argument, table output gained a datatable option, and the vignette now demonstrates a full characterisation feeding a Shiny app. The pattern is refinement of existing summarise* functions rather than new analytic surface.

◆ Prediction

Expect continued tightening of the summarise* family and its table output options; with only three releases visible, the cadence itself is hard to read.

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 omopsketch 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 omopsketch or silx.

See all omopsketch alternatives → · See all silx alternatives →

Recent activity from omopsketch and silx

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

  1. 6h 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 agosilx2.2.2: plot axes limits, OpenGL axes and libhdf5 1.14 fixes
  7. 1y agoomopsketchKeeps clinical-record summaries in the database
  8. 1y agoomopsketchInterval arguments replace year; counts restricted to observation
  9. 1y agoomopsketchBug fixes and dateRange semantics clarified

Frequently asked questions

What is the difference between omopsketch 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 omopsketch 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 omopsketch?

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