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Apache Superset vs silx

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

Apache Superset vs silx: at a glance

FeatureApache Supersetsilx
SectorAnalyticsAnalytics
Velocity score5.02.5
Sparks · 30d00
Top themeshelm-chart, packaging, deployment, open-source-bisynchrotron, qt, hdf5, scientific plotting
Last editorial update1d ago1h ago
WebsiteVisit →Visit →

What is Apache Superset?

Superset's feed tracks Helm chart tags, so the BI product itself stays invisible here.

Every entry in this feed is a Helm chart tag from the apache/superset repository, carrying no notes beyond a one-line project blurb. The chart has moved from 0.19.0 to 0.22.5 in about six weeks, a packaging cadence rather than an application one. Nothing here describes a change to Superset's dashboards, SQL Lab, or semantic layer.

Read the full Apache Superset trajectory →

What is silx?

silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.

silx releases a couple of times a year and reached 3.0.0 in April 2026, which raised the Python floor to 3.10 and switched the default Qt binding to PySide6. The same release reworked the viewer's data views: 3D scatter support, dedicated RGB(A) image views, the composite ImageView split into Plot2dView and ComplexImageView, and NXdata stacks displayed as images. 3.1.0 has since added asinh axis scaling, the twilight colormaps, and dark-theme icons.

Read the full silx trajectory →

Apache Superset vs silx: editorial side-by-side

Apache Superset logo5.0

Superset's feed tracks Helm chart tags, so the BI product itself stays invisible here.

◆ Current state

Every entry in this feed is a Helm chart tag from the apache/superset repository, carrying no notes beyond a one-line project blurb. The chart has moved from 0.19.0 to 0.22.5 in about six weeks, a packaging cadence rather than an application one. Nothing here describes a change to Superset's dashboards, SQL Lab, or semantic layer.

◆ Where it's heading

The chart is being cut on a fast, small-increment schedule — five patches inside 0.22.x in under three weeks. That pattern usually reflects deployment plumbing being tuned against a moving upstream image rather than any single problem being chased. Until the crawl points at the release notes for Superset itself, this feed will keep reporting packaging motion and nothing about the product.

◆ Prediction

Expect continued 0.22.x patch tags at a similar pace, with a 0.23.0 chart bump likely when the next Superset application release lands. The entries themselves will stay note-free unless the project starts populating chart release bodies.

S
silx
ANALYTICS
2.5

silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.

◆ Current state

silx releases a couple of times a year and reached 3.0.0 in April 2026, which raised the Python floor to 3.10 and switched the default Qt binding to PySide6. The same release reworked the viewer's data views: 3D scatter support, dedicated RGB(A) image views, the composite ImageView split into Plot2dView and ComplexImageView, and NXdata stacks displayed as images. 3.1.0 has since added asinh axis scaling, the twilight colormaps, and dark-theme icons.

◆ Where it's heading

The project is doing a generational refresh of its GUI layer: modern Qt binding, modules broken out of the composite widgets that had accumulated responsibilities, and the theming work that a desktop application needs to look current. Underneath, the recurring fixes are about HDF5 behavior in real facility environments — file locking, NFS refresh, Windows display paths — which is where a synchrotron toolkit actually gets stressed. Feature growth is concentrated in silx view rather than the library API.

◆ Prediction

Expect the 3.1.x line to keep filling in plotting options and theming, with the PySide6 default flushing out binding-specific bugs from downstream applications over the next few releases.

Alternatives to Apache Superset 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 Apache Superset or silx.

See all Apache Superset alternatives → · See all silx alternatives →

Recent activity from Apache Superset and silx

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

  1. 2d agosilx3.1.0: asinh axis scaling, twilight colormaps, dark-theme icons
  2. 2d agoApache Supersetsuperset-helm-chart-0.22.5
  3. 15d agoApache Supersetsuperset-helm-chart-0.22.4
  4. 18d agoApache Supersetsuperset-helm-chart-0.22.3
  5. 20d agoApache Supersetsuperset-helm-chart-0.22.2
  6. 21d agoApache Supersetsuperset-helm-chart-0.22.1
  7. 24d agoApache Supersetsuperset-helm-chart-0.22.0
  8. 3mo agosilx3.0.1: 2026/05/07
  9. 3mo agosilx3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required
  10. 3mo agosilx3.0.0rc1: release candidate for the PySide6 migration
  11. 1y agosilx2.2.2: 2025/04/07
  12. 1y agosilx2.2.0b0: HSDS URL support and a multi-curve comparison window

Frequently asked questions

What is the difference between Apache Superset and silx?

They serve adjacent needs but don't currently overlap on shipped themes. Apache Superset 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 Apache Superset better than silx?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Superset 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 Apache Superset?

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