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forecast vs silx

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

forecast vs silx: at a glance

Featureforecastsilx
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesforecasting, time-series, r-stats, major-releasescientific-computing, data-visualization, synchrotron, qt
Last editorial update5d ago1h ago
WebsiteVisit →Visit →

What is forecast?

After years of pure maintenance, forecast 9.0.0 reopens the package

forecast is the long-established R forecasting package that fable was meant to succeed. For several years its releases were RNG fixes, base-R compatibility and documentation. Then 9.0.0 arrived with a batch of new model constructors, wider prediction-interval support and a rewritten accuracy() built on S3 methods.

Read the full forecast 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 →

forecast vs silx: editorial side-by-side

F
forecast
ANALYTICS
0.0

After years of pure maintenance, forecast 9.0.0 reopens the package

◆ Current state

forecast is the long-established R forecasting package that fable was meant to succeed. For several years its releases were RNG fixes, base-R compatibility and documentation. Then 9.0.0 arrived with a batch of new model constructors, wider prediction-interval support and a rewritten accuracy() built on S3 methods.

◆ Where it's heading

The major version reframes forecast around explicit *_model() constructors — mean, random walk, spline, theta, Croston — rather than the older function-per-method style, and the 9.0.x patches since have been performance and argument-handling cleanups on top. That is an active maintenance line, not a package winding down in favour of fable.

◆ Prediction

Expect continued 9.0.x patches consolidating the new constructors and their forecast methods, with the older interfaces kept working alongside 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 forecast 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 forecast or silx.

See all forecast alternatives → · See all silx alternatives →

Recent activity from forecast 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. 5mo agoforecastFixes for checkresiduals() and mstl() lambda handling
  7. 6mo agoforecastFaster ARFIMA search and forecast.mlm() argument handling
  8. 7mo agoforecastforecast 9.0.0 adds five model constructors and rewrites accuracy()
  9. 1y agosilx2.2.2: plot axes limits, OpenGL axes and libhdf5 1.14 fixes
  10. 1y agoforecastDocumentation and bug-fix release
  11. 2y agoforecastRNG state and base-R head/tail compatibility
  12. 2y agoforecastMuch faster hfitted() for ARIMA and ETS models

Frequently asked questions

What is the difference between forecast 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 forecast 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 forecast?

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