Resend
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Comparison · Infra & APIs
adjustedCurves vs q2
A side-by-side editorial comparison of adjustedCurves and q2 — release velocity, themes, recent moves, and the top alternatives to consider.
adjustedCurves vs q2: at a glance
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.
What is q2?
After two releases pulling ahead, q2 spends v0.23.0 back on parity: light/dark theming.
q2 is the Quarto team's Rust reimplementation of the publishing toolchain, shipping as a statically linked single binary with minisign-signed archives and a bundled Quarto Hub MCP server, still marked experimental and not production-ready. The cadence holds at roughly a release a day through mid-August, with raw commit logs standing in for curated notes. v0.22.0 was the break in the pattern — llms.txt site output and a live-share preview, the first capability the original toolchain does not have. v0.23.0 goes straight back to closing the parity gap, and does it at epic scale.
adjustedCurves vs q2: editorial side-by-side
adjustedCurves
0.0INFRA · APIS
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.
q2
6.3INFRA · APIS
After two releases pulling ahead, q2 spends v0.23.0 back on parity: light/dark theming.
◆ Current state
q2 is the Quarto team's Rust reimplementation of the publishing toolchain, shipping as a statically linked single binary with minisign-signed archives and a bundled Quarto Hub MCP server, still marked experimental and not production-ready. The cadence holds at roughly a release a day through mid-August, with raw commit logs standing in for curated notes. v0.22.0 was the break in the pattern — llms.txt site output and a live-share preview, the first capability the original toolchain does not have. v0.23.0 goes straight back to closing the parity gap, and does it at epic scale.
◆ Where it's heading
The light-dark epic is the shape of how this team retires a Quarto 1 feature: a design doc, then ThemeConfig growing a parsed dark variant, dual theme compilation with color-scheme emission, attributed stylesheet links, a color-mode toggle runtime, an accessibility-aware highlight-style reader, a brand light/dark seam, and an end-to-end verification pass against quarto-web before the docs land. One phase (D) was deferred with its options recorded rather than dropped. Around it, panel-tabset support lands, format.html.css is finally copied and rebased per page, and the llms companion output gains a link-format attribute so authors control where companion links point — the one thread tying this release back to the v0.22.0 work.
◆ Prediction
Expect the remaining Q1 parity items to keep setting the release agenda, with the deferred light-dark phase D and the freshly opened panel-tabset plan the two named strands most likely to fill the next few tags. npx distribution for the standalone Quarto Hub MCP bundle is still the only distribution item the notes explicitly call planned.
Alternatives to adjustedCurves and q2
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 q2.
DNSControl
DNSControl v5 is feature-frozen with a ship date, and rc9 is pure provider cleanup
Casdoor
Casdoor is spending its release cadence moving auth checks from the client to the server
ESPHome
ESPHome ships on a calendar, and the August beta train is now five builds deep
Strimzi
Strimzi's 1.2.0 candidate closes with a logging fix and nothing else
Prowler
Prowler's assistant decides what to do with findings; the patches keep the scanner honest
See all adjustedCurves alternatives → · See all q2 alternatives →
Recent activity from adjustedCurves and q2
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoq2Light/dark themes with a color-mode toggle; panel-tabset support
- 4d agoq2llms.txt site output and a live-share collaborative preview ⚡
- 5d agoq2TOC entries carry inline markup; draft banner restored
- 6d agoq2Adds alias redirect stubs and diagnostic suppression
- 6d agoq2Bumps samod and automerge; fixes indented continuations
- 7d agoq2Lua filters supported; mermaid bundled instead of CDN-loaded
- 6mo agoadjustedCurvesOff-by-one-step error corrected in cumulative incidence estimates
- 1y agoadjustedCurvesIPTW curves can now extend to the last observed time
- 2y agoadjustedCurvesDropped arguments and a wrong multiple-imputation pooling formula
- 2y agoadjustedCurvesRisk tables, contrast consolidation and faster bootstrapping
- 3y agoadjustedCurvestmle and ostmle methods dropped
- 3y agoadjustedCurvesDependency compatibility and installation documentation
Frequently asked questions
What is the difference between adjustedCurves and q2?
They serve adjacent needs but don't currently overlap on shipped themes. q2 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 q2?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. q2 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 q2?
Top q2 alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "q2 alternatives" section above for the current picks, or visit /alternatives/q2 for the full list with editorial commentary on each.