← Back to home
Comparison · Infra & APIs

adjustedCurves vs Strimzi

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

adjustedCurves vs Strimzi: at a glance

FeatureadjustedCurvesStrimzi
SectorInfra & APIsInfra & APIs
Velocity score0.05.0
Sparks · 30d00
Top themessurvival-analysis, causal-inference, r-package, biostatisticskafka, kubernetes-operator, release-candidate, server-side-apply
Last editorial update23h ago8h ago
WebsiteVisit →Visit →

What is adjustedCurves?

A survival curve package spending release after release correcting its own estimates

adjustedCurves computes confounder-adjusted survival and cumulative incidence curves across a range of estimators - IPTW, AIPTW, Aalen-Johansen, direct standardisation - with support for multiple imputation and bootstrapping. The recent releases are dominated by corrections to numbers the package already reported. Version 0.11.4 fixed cumulative incidence estimates under method="aalen_johansen" that were being read one time step early, which the maintainer notes could differ substantially when events are few, and added risk and event counts to the ggsurvplot conversion including correctly pooled values under multiple imputation.

Read the full adjustedCurves trajectory →

What is Strimzi?

Strimzi's 1.2.0 candidate closes with a logging fix and nothing else

The 1.2.0 release cycle has reached its second candidate, and it is a small one: a single fix for incorrect CA logging on top of rc1. Everything substantive in this release landed in rc1 — Kafka 4.3.1 support, per-pod volume templates, and server-side apply now permanently enabled. This feed publishes only release candidates and never the finals, so an rc is the record of what shipped.

Read the full Strimzi trajectory →

adjustedCurves vs Strimzi: editorial side-by-side

A
adjustedCurves
INFRA · APIS
0.0

A survival curve package spending release after release correcting its own estimates

◆ Current state

adjustedCurves computes confounder-adjusted survival and cumulative incidence curves across a range of estimators - IPTW, AIPTW, Aalen-Johansen, direct standardisation - with support for multiple imputation and bootstrapping. The recent releases are dominated by corrections to numbers the package already reported. Version 0.11.4 fixed cumulative incidence estimates under method="aalen_johansen" that were being read one time step early, which the maintainer notes could differ substantially when events are few, and added risk and event counts to the ggsurvplot conversion including correctly pooled values under multiple imputation.

◆ Where it's heading

Multiple imputation is the recurring fault line. The standard error pooling formula was implemented incorrectly until 0.11.2, then fixed again in 0.11.3 for the bootstrapping-plus-imputation combination, and 0.11.4 added the pooled risk table values that had previously been omitted entirely. A separate thread quietly removed capability: tmle and ostmle methods went in 0.10.0, and tmle support was pulled again in 0.11.1 after the concrete package left CRAN. Feature work does happen - risk tables, contrast arguments, the extend_to_last control on IPTW curves - but it is outweighed by correction.

◆ Prediction

Expect continued estimator-level corrections rather than new methods, and a possible return of tmle support if its upstream dependency returns to CRAN, since the removal was described as temporary.

S
Strimzi
INFRA · APIS
5.0

Strimzi's 1.2.0 candidate closes with a logging fix and nothing else

◆ Current state

The 1.2.0 release cycle has reached its second candidate, and it is a small one: a single fix for incorrect CA logging on top of rc1. Everything substantive in this release landed in rc1 — Kafka 4.3.1 support, per-pod volume templates, and server-side apply now permanently enabled. This feed publishes only release candidates and never the finals, so an rc is the record of what shipped.

◆ Where it's heading

Post-1.0 Strimzi is spending its cycles on how the operator manages Kubernetes resources rather than on new Kafka surface. ServerSideApplyPhase1 has gone alpha to GA and is now always on, and 1.2.0 changes install-time defaults toward Restricted Pod Security Standard security contexts and volume-mounted Service Account tokens. A second candidate carrying one logging fix says the cycle is converging rather than still absorbing change — the CRD v1-only requirement from 1.0.0 remains the loudest thing in every release body.

◆ Prediction

Expect 1.2.0 final shortly with no further candidates, and the next cycle to advance one of the open feature gates — UseBackgroundPodDeletion is the likeliest to move from alpha to beta.

Alternatives to adjustedCurves and Strimzi

Other Infra & APIs 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 adjustedCurves or Strimzi.

See all adjustedCurves alternatives → · See all Strimzi alternatives →

Recent activity from adjustedCurves and Strimzi

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

  1. 19h agoStrimzi1.2.0 RC2 lands one CA logging fix
  2. 3d agoStrimziKafka 4.3.1, per-pod volume templates, server-side apply GA
  3. 1mo agoStrimziKafka 4.3.0 support; 4.1.x dropped; connector stop semantics fixed
  4. 2mo agoStrimzi1.0.1 release preparation tag
  5. 3mo agoStrimziSecond 1.0.0 candidate fixes connector resume
  6. 4mo agoStrimzi1.0 drops every CRD API but v1
  7. 6mo agoadjustedCurvesOff-by-one-step error corrected in cumulative incidence estimates
  8. 1y agoadjustedCurvesIPTW curves can now extend to the last observed time
  9. 2y agoadjustedCurvesDropped arguments and a wrong multiple-imputation pooling formula
  10. 2y agoadjustedCurvesRisk tables, contrast consolidation and faster bootstrapping
  11. 3y agoadjustedCurvestmle and ostmle methods dropped
  12. 3y agoadjustedCurvesDependency compatibility and installation documentation

Frequently asked questions

What is the difference between adjustedCurves and Strimzi?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Strimzi 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to adjustedCurves?

Top adjustedCurves alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "adjustedCurves alternatives" section above for the current picks, or visit /alternatives/adjustedcurves for the full list with editorial commentary on each.

What are the best alternatives to Strimzi?

Top Strimzi alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Strimzi alternatives" section above for the current picks, or visit /alternatives/strimzi for the full list with editorial commentary on each.