← Back to home
Comparison · Analytics

OpenHouse vs silx

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

OpenHouse vs silx: at a glance

FeatureOpenHousesilx
SectorAnalyticsAnalytics
Velocity score5.02.5
Sparks · 30d00
Top themesiceberg, data governance, table policies, observabilitysynchrotron, qt, hdf5, scientific plotting
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is OpenHouse?

OpenHouse is hardening the seams where table policies and jobs quietly fail.

OpenHouse ships continuously — five releases in the twelve days covered here — with each tag carrying a single merged pull request. The substantive recent work sits in two areas: table governance, where CREATE OR REPLACE AS SELECT was silently dropping retention, replication, history and PII column tags, and operability, where the DataLoader gained a typed exception hierarchy with per-request IDs and the scheduler gained targeted log tokens. Table feature toggles also picked up self-service overrides that let table owners opt in to a feature the server has not ramped.

Read the full OpenHouse 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 →

OpenHouse vs silx: editorial side-by-side

O
OpenHouse
ANALYTICS
5.0

OpenHouse is hardening the seams where table policies and jobs quietly fail.

◆ Current state

OpenHouse ships continuously — five releases in the twelve days covered here — with each tag carrying a single merged pull request. The substantive recent work sits in two areas: table governance, where CREATE OR REPLACE AS SELECT was silently dropping retention, replication, history and PII column tags, and operability, where the DataLoader gained a typed exception hierarchy with per-request IDs and the scheduler gained targeted log tokens. Table feature toggles also picked up self-service overrides that let table owners opt in to a feature the server has not ramped.

◆ Where it's heading

The project is at the stage where correctness at the edges matters more than new surface: policies surviving a replace, auth failures not being retried as if they were transient, scheduler decisions being greppable in production logs. The observability work is explicitly phased, with OTEL gauges and DLQ counters deferred to a later step, so instrumentation is being staged rather than dropped in at once. The pattern of one PR per release tag means the feed reads as a commit log and the meaningful changes have to be picked out of dependency bumps.

◆ Prediction

Phase 2 of the jobs observability plan — OTEL gauges, a heartbeat sampler, and dead-letter-queue counters — is named in the notes as deferred and is the most likely next substantive change.

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 OpenHouse 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 OpenHouse or silx.

See all OpenHouse alternatives → · See all silx alternatives →

Recent activity from OpenHouse and silx

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

  1. 16h agoOpenHouseMetrics for misconfigured HCR tables
  2. 2d agosilx3.1.0: asinh axis scaling, twilight colormaps, dark-theme icons
  3. 8d agoOpenHouseCREATE OR REPLACE no longer silently drops table policies
  4. 9d agoOpenHouseBump iceberg-core to 1.2.0.20
  5. 9d agoOpenHouseScheduler log tokens for jobs observability
  6. 11d agoOpenHouseDataLoader gains request IDs and typed catalog exceptions
  7. 11d agoOpenHouseTable owners can self-serve onto server-gated features
  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 OpenHouse and silx?

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

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

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