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glyvis vs silx

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

glyvis vs silx: at a glance

Featureglyvissilx
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesglycomics, visualization, ggplot2, bioconductorscientific-computing, data-visualization, synchrotron, qt
Last editorial update2d ago1h ago
WebsiteVisit →Visit →

What is glyvis?

glyvis keeps losing plot functions as the packages behind them get reorganized.

glyvis is the plotting layer for glycoverse results. Its recent releases are dominated by two forces it does not control: glyexp's container migration, which it absorbed in 0.7.0 by accepting SummarizedExperiment inputs, and glystats' function removals, which cost it first the WGCNA and consensus-clustering autoplot methods and then the entire enrichment plotting surface. Its own additions in the window are narrow, mostly label handling and NA robustness.

Read the full glyvis 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 →

glyvis vs silx: editorial side-by-side

G
glyvis
ANALYTICS
0.0

glyvis keeps losing plot functions as the packages behind them get reorganized.

◆ Current state

glyvis is the plotting layer for glycoverse results. Its recent releases are dominated by two forces it does not control: glyexp's container migration, which it absorbed in 0.7.0 by accepting SummarizedExperiment inputs, and glystats' function removals, which cost it first the WGCNA and consensus-clustering autoplot methods and then the entire enrichment plotting surface. Its own additions in the window are narrow, mostly label handling and NA robustness.

◆ Where it's heading

The package is being pruned from upstream rather than expanded from within. Every breaking change in the last four releases is a removal triggered by a sibling package dropping the function that produced the object being plotted. With enrichment now living in glyfun, the plotting for it has to be rebuilt somewhere, and glyvis is the obvious home.

◆ Prediction

Expect enrichment plotting to return once glyfun's result objects stabilize, since the visualizations were removed for want of an upstream producer rather than because users stopped needing them.

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 glyvis 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 glyvis or silx.

See all glyvis alternatives → · See all silx alternatives →

Recent activity from glyvis 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 agoglyvisDocs recommend the new SE containers
  4. 1mo agoglyvisplot_logo() detects glycoproteomics across both containers
  5. 1mo agoglyvisPlots accept SummarizedExperiment; enrichment plots removed
  6. 3mo agosilx3.0.1: silx view fails to disable HDF5 file locking
  7. 3mo agoglyvisStale WGCNA and clustering autoplot methods removed
  8. 3mo agosilx3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required
  9. 3mo agosilx3.0.0rc1: release candidate for the PySide6 migration
  10. 6mo agoglyvisDependencies move to the r-universe repository
  11. 7mo agoglyvisplot_logo() fetches UniProt sequences automatically
  12. 1y agosilx2.2.2: plot axes limits, OpenGL axes and libhdf5 1.14 fixes

Frequently asked questions

What is the difference between glyvis 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 glyvis 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 glyvis?

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