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performance vs OpenHouse

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

performance vs OpenHouse: at a glance

FeatureperformanceOpenHouse
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesr-language, model-diagnostics, bayesian, easystatsiceberg, data governance, table policies, observability
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is performance?

performance keeps adding ways to check a model you have already fitted.

performance is at 0.17.1, which added check_priors() for prior predictive checks on Bayesian models and gave check_overdispersion(), check_model() and check_predictions() arguments to control residual type and plot range. The releases before it are a similar mix: a -2LL criterion column in test_likelihoodratio(), Bayesian predictive checks routed through modelbased, and in 0.16.0 a set of breaking renames including RMSA to the correct RMSR.

Read the full performance trajectory →

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 →

performance vs OpenHouse: editorial side-by-side

P
performance
ANALYTICS
0.0

performance keeps adding ways to check a model you have already fitted.

◆ Current state

performance is at 0.17.1, which added check_priors() for prior predictive checks on Bayesian models and gave check_overdispersion(), check_model() and check_predictions() arguments to control residual type and plot range. The releases before it are a similar mix: a -2LL criterion column in test_likelihoodratio(), Bayesian predictive checks routed through modelbased, and in 0.16.0 a set of breaking renames including RMSA to the correct RMSR.

◆ Where it's heading

Two consistent habits. Diagnostics keep gaining arguments to narrow what is examined — ppc_range, x_limits, maximum_dots, show_ci — which reads as a package being used on models large and awkward enough that the defaults stopped working. And simulated residuals via DHARMa keep displacing standard ones as the basis for the checks themselves.

◆ Prediction

With check_priors() newly added and Bayesian predictive checks now routed through modelbased, the next release most likely extends the Bayesian diagnostic set rather than reworking the frequentist checks.

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.

Alternatives to performance and OpenHouse

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 performance or OpenHouse.

See all performance alternatives → · See all OpenHouse alternatives →

Recent activity from performance and OpenHouse

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

  1. 18h agoOpenHouseMetrics for misconfigured HCR tables
  2. 8d agoOpenHouseCREATE OR REPLACE no longer silently drops table policies
  3. 9d agoOpenHouseBump iceberg-core to 1.2.0.20
  4. 9d agoOpenHouseScheduler log tokens for jobs observability
  5. 11d agoOpenHouseDataLoader gains request IDs and typed catalog exceptions
  6. 11d agoOpenHouseTable owners can self-serve onto server-gated features
  7. 1mo agoperformancecheck_priors() added; overdispersion plots use simulated residuals
  8. 2mo agoperformance-2LL criterion column and unified Bayesian predictive checks
  9. 6mo agoperformanceBreaking renames plus point-count and CI controls in check_model()
  10. 8mo agoperformancecheck_autocorrelation() methods for DHARMa objects
  11. 10mo agoperformanceFixes CRAN checks after an rstanarm update
  12. 11mo agoperformancetinytable output format in display()

Frequently asked questions

What is the difference between performance and OpenHouse?

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

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

Top performance alternatives in Analytics are ranked by recent ship velocity. Browse the "performance alternatives" section above for the current picks, or visit /alternatives/easystats-performance for the full list with editorial commentary on each.

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.