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Comparison · Infra & APIs

adjustedCurves vs Tailscale

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

adjustedCurves vs Tailscale: at a glance

FeatureadjustedCurvesTailscale
SectorInfra & APIsInfra & APIs
Velocity score0.06.3
Sparks · 30d01
Top themessurvival-analysis, causal-inference, r-package, biostatisticsnetworking, zero-trust, kubernetes, multi-tenancy
Last editorial update22h ago15h ago
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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 Tailscale?

Tailscale is turning the tailnet itself into something a script provisions and pages through.

Two threads run in this window. The client and operator releases are maintenance-grade — a Funnel regression fix, library-only container updates, Kubernetes operator work on PeerRelays, workload identity federation and IPv6 egress. The more consequential thread is the tailnet management API: creation landed in alpha at the end of July, and the list endpoint has now been paginated, with a hard 100-result default for organizations holding more.

Read the full Tailscale trajectory →

adjustedCurves vs Tailscale: 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.

T
Tailscale
INFRA · APIS
6.3

Tailscale is turning the tailnet itself into something a script provisions and pages through.

◆ Current state

Two threads run in this window. The client and operator releases are maintenance-grade — a Funnel regression fix, library-only container updates, Kubernetes operator work on PeerRelays, workload identity federation and IPv6 egress. The more consequential thread is the tailnet management API: creation landed in alpha at the end of July, and the list endpoint has now been paginated, with a hard 100-result default for organizations holding more.

◆ Where it's heading

Tailscale has spent this period on two different customers at once. The operator work serves platform teams running Tailscale inside Kubernetes, where the gaps being closed are reconciliation loops, stale DNS ConfigMaps and cert-renewal backoff. The tailnet API work serves a different shape entirely: organizations holding enough tailnets that a hundred is a page boundary, which only happens when tailnets are allocated per customer or per environment rather than per company. The second thread is the one that changes what Tailscale is for.

◆ Prediction

Pagination on list implies the creation API is being used at volume, so expect the alpha to gain the management operations a fleet needs — policy templating or bulk configuration across tailnets. The client release line looks settled on 1.102.x maintenance in the near term.

Alternatives to adjustedCurves and Tailscale

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 Tailscale.

See all adjustedCurves alternatives → · See all Tailscale alternatives →

Recent activity from adjustedCurves and Tailscale

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

  1. 1d agoTailscaleTailnet list API pagination
  2. 8d agoTailscaleOperator adds in-cluster PeerRelays and workload identity federation
  3. 12d agoTailscaleContainer image v1.102.2: library updates only
  4. 15d agoTailscalev1.102.2 fixes a Funnel incoming-connection regression
  5. 16d agoTailscalev1.102.1 adds Services CLI and constant-time node churn
  6. 21d agoTailscaleTailnet creation API
  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 Tailscale?

They serve adjacent needs but don't currently overlap on shipped themes. Tailscale is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 Tailscale?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Tailscale is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 Tailscale?

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