← Back to home
Comparison · Analytics

Matomo vs silx

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

Matomo vs silx: at a glance

FeatureMatomosilx
SectorAnalyticsAnalytics
Velocity score2.55.0
Sparks · 30d00
Top themesprivacy-first analytics, ai-traffic, ui modernization, compliancescientific-computing, data-visualization, synchrotron, qt
Last editorial update3mo ago2h ago
WebsiteVisit →Visit →

What is Matomo?

Matomo bets on AI-traffic measurement as its differentiator while modernizing the UI for upmarket buyers.

Matomo is on a near-monthly minor-release cadence threading three concurrent themes: AI-traffic instrumentation, visual modernization (dark mode and theme refresh in 5.10.0), and privacy-compliance shortcuts aimed at EU operators. Patch releases land between minors with security and archiving fixes, and the team still ships occasional Matomo 4 backports for legacy customers.

Read the full Matomo 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 →

Matomo vs silx: editorial side-by-side

Matomo logo
Matomo
ANALYTICS
2.5

Matomo bets on AI-traffic measurement as its differentiator while modernizing the UI for upmarket buyers.

◆ Current state

Matomo is on a near-monthly minor-release cadence threading three concurrent themes: AI-traffic instrumentation, visual modernization (dark mode and theme refresh in 5.10.0), and privacy-compliance shortcuts aimed at EU operators. Patch releases land between minors with security and archiving fixes, and the team still ships occasional Matomo 4 backports for legacy customers.

◆ Where it's heading

After introducing AI-agent detection in 5.6.0 and dedicated AI chatbot traffic reports in 5.8.0, Matomo is positioning itself as the analytics tool that explicitly accounts for non-human traffic — a stance neither GA4 nor Plausible has taken head-on. The 5.9.0 one-click CNIL preset and 5.10.0 UI overhaul read as moves to broaden the buyer pool beyond technical self-hosters.

◆ Prediction

Expect deeper AI-traffic features — segmentation, attribution, and per-agent breakdowns — plus the one-click compliance pattern extended from CNIL to other regulators.

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 Matomo 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 Matomo or silx.

See all Matomo alternatives → · See all silx alternatives →

Recent activity from Matomo and silx

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

  1. 5h 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 agoMatomoMatomo 5.10.0
  5. 3mo agosilx3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required
  6. 3mo agosilx3.0.0rc1: release candidate for the PySide6 migration
  7. 3mo agoMatomoMatomo 5.9.0
  8. 5mo agoMatomoMatomo 5.8.0
  9. 6mo agoMatomoMatomo 5.7.1
  10. 6mo agoMatomoMatomo 5.7.0
  11. 8mo agoMatomoMatomo 5.6.2
  12. 1y agosilx2.2.2: plot axes limits, OpenGL axes and libhdf5 1.14 fixes

Frequently asked questions

What is the difference between Matomo and silx?

They serve adjacent needs but don't currently overlap on shipped themes. silx is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 Matomo 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 2.5), 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 Matomo?

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