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Comparison · Analytics
silx vs Apache Superset
A side-by-side editorial comparison of silx and Apache Superset — release velocity, themes, recent moves, and the top alternatives to consider.
silx vs Apache Superset: at a glance
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.
What is Apache Superset?
Superset's tracked feed is a Helm chart tag stream with no notes attached.
The feed being tracked carries Apache Superset's Helm chart releases rather than Superset itself. Six chart versions landed between mid-July and 10 August, walking 0.21.x up to 0.22.5, and every entry carries only the project's boilerplate one-line description. What actually changed in any given chart bump is not disclosed in the feed.
silx vs Apache Superset: editorial side-by-side
silx
2.5ANALYTICS
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.
Apache Superset
5.0ANALYTICS
Superset's tracked feed is a Helm chart tag stream with no notes attached.
◆ Current state
The feed being tracked carries Apache Superset's Helm chart releases rather than Superset itself. Six chart versions landed between mid-July and 10 August, walking 0.21.x up to 0.22.5, and every entry carries only the project's boilerplate one-line description. What actually changed in any given chart bump is not disclosed in the feed.
◆ Where it's heading
Chart releases are arriving roughly weekly, which points to steady packaging maintenance underneath — image bumps, template corrections, values-file changes — rather than a visible product push. Because the feed publishes no notes, the deployment layer is the only Superset surface observable here. Anyone tracking application-level work needs the core repository, not this stream.
◆ Prediction
The cadence supports exactly one confident call: more chart point releases within weeks. The entries carry no content indicating what those bumps will contain.
Alternatives to silx and Apache Superset
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 silx or Apache Superset.
OpenHouse
OpenHouse is hardening the seams where table policies and jobs quietly fail.
statsmodels
statsmodels ships only what the ecosystem breaks — six releases, no new statistics.
StatsBase.jl
StatsBase.jl is in caretaker mode — correctness fixes in, dependency bumps out.
iris
Iris ships steadily on a two-a-year cadence, but its feed publishes only pointers.
shiny
Shiny made reactive apps observable, then gave them a way to tear themselves down
See all silx alternatives → · See all Apache Superset alternatives →
Recent activity from silx and Apache Superset
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agosilx3.1.0: asinh axis scaling, twilight colormaps, dark-theme icons
- 2d agoApache Supersetsuperset-helm-chart-0.22.5
- 15d agoApache Supersetsuperset-helm-chart-0.22.4
- 18d agoApache Supersetsuperset-helm-chart-0.22.3
- 20d agoApache Supersetsuperset-helm-chart-0.22.2
- 21d agoApache Supersetsuperset-helm-chart-0.22.1
- 24d agoApache Supersetsuperset-helm-chart-0.22.0
- 3mo agosilx3.0.1: 2026/05/07
- 3mo agosilx3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required ⚡
- 3mo agosilx3.0.0rc1: release candidate for the PySide6 migration
- 1y agosilx2.2.2: 2025/04/07
- 1y agosilx2.2.0b0: HSDS URL support and a multi-curve comparison window
Frequently asked questions
What is the difference between silx and Apache Superset?
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 silx better than Apache Superset?
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 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.
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/superset for the full list with editorial commentary on each.