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reliaplotr vs silx

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

Shared themes:data-visualization

reliaplotr vs silx: at a glance

Featurereliaplotrsilx
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesreliability-engineering, r-package, plotly, mcpscientific-computing, data-visualization, synchrotron, qt
Last editorial update1d ago1h ago
WebsiteVisit →Visit →

What is reliaplotr?

The Weibull plotting package renamed itself, then handed its charts to AI assistants.

ReliaPlotR draws interactive reliability plots with plotly — probability plots, contour plots, Duane and reliability growth charts, accelerated life testing plots by stress level, mean cumulative function curves for repairable systems, and exposure plots. It was WeibullR.plotly until late 2025, and the rename tracked a real widening of scope rather than just a label change. The current release adds tidy extractors that turn fitted model objects into data frames, and an MCP server exposing five of its fit and plot functions as tools.

Read the full reliaplotr 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 →

reliaplotr vs silx: editorial side-by-side

R
reliaplotr
ANALYTICS
0.0

The Weibull plotting package renamed itself, then handed its charts to AI assistants.

◆ Current state

ReliaPlotR draws interactive reliability plots with plotly — probability plots, contour plots, Duane and reliability growth charts, accelerated life testing plots by stress level, mean cumulative function curves for repairable systems, and exposure plots. It was WeibullR.plotly until late 2025, and the rename tracked a real widening of scope rather than just a label change. The current release adds tidy extractors that turn fitted model objects into data frames, and an MCP server exposing five of its fit and plot functions as tools.

◆ Where it's heading

The package has been following its analysis siblings function for function: as accelerated life testing and repairable systems modelling landed in the wider suite, the matching plot types appeared here, and when the growth-analysis package shipped an MCP server, this one followed two weeks later. The tidy extractors point the same way — a plotting package that can also return parameter estimates, goodness-of-fit metrics, and confidence bounds as tidy frames is one designed to be consumed programmatically, by a pipeline or an assistant, not only read on screen. Overlaying multiple model fits on a single plot has been a recurring request answered across several releases.

◆ Prediction

Expect the tidy extractor and MCP tool surfaces to keep expanding together, since each new plot type in the suite now implies both a chart and a machine-readable version of what it shows.

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 reliaplotr 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 reliaplotr or silx.

See all reliaplotr alternatives → · See all silx alternatives →

Recent activity from reliaplotr 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. 2mo agoreliaplotrTidy model extractors plus five plotting tools over MCP
  4. 2mo agoreliaplotrNHPP plots switch to the mean cumulative function
  5. 3mo agosilx3.0.1: silx view fails to disable HDF5 file locking
  6. 3mo agosilx3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required
  7. 3mo agosilx3.0.0rc1: release candidate for the PySide6 migration
  8. 4mo agoreliaplotrAccelerated life testing and repairable systems plots added
  9. 8mo agoreliaplotrDuane plots gain confidence bounds
  10. 10mo agoreliaplotrReliaPlotR v0.4.1
  11. 10mo agoreliaplotrRenamed from WeibullR.plotly to ReliaPlotR
  12. 1y agosilx2.2.2: plot axes limits, OpenGL axes and libhdf5 1.14 fixes

Frequently asked questions

What is the difference between reliaplotr and silx?

Both compete on the same themes — data-visualization — within Analytics. 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 reliaplotr 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 reliaplotr?

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