← Back to home
Comparison · Infra & APIs

profileCI vs q2

A side-by-side editorial comparison of profileCI and q2 — release velocity, themes, recent moves, and the top alternatives to consider.

profileCI vs q2: at a glance

FeatureprofileCIq2
SectorInfra & APIsInfra & APIs
Velocity score0.07.5
Sparks · 30d02
Top themesprofile-likelihood, confidence-intervals, statistics, numerical-robustnessrust-rewrite, publishing-toolchain, quarto, llms-txt
Last editorial update40m ago16h ago
WebsiteVisit →Visit →

What is profileCI?

Profile-likelihood confidence intervals for any fitted model, in a feed that publishes out of order.

profileCI computes confidence intervals from the profile log-likelihood for user-supplied fitted models, generalising what confint.glm does for GLMs to any model object exposing a log-likelihood. The releases handle the awkward cases that make profiling fail in practice: infinite limits when the profile never drops below the interval threshold, bounded profiling ranges, and interpolation that breaks down near the limits. Only convex log-likelihoods are supported, so disjoint intervals are out of scope by design.

Read the full profileCI trajectory →

What is q2?

Two surfaces the original Quarto never had: llms.txt output and a live-share preview.

q2 is the Quarto team's Rust reimplementation, shipping as a statically linked single binary with signed archives and a bundled Quarto Hub MCP server, still marked experimental and not production-ready. The cadence has held at roughly a release a day through mid-August, with raw commit logs standing in for curated notes. Until v0.22.0 the programme read as pure parity work against the existing Quarto — investigate, record design decisions, write tests red, implement in numbered phases. That release is the first to ship capability the original toolchain does not have.

Read the full q2 trajectory →

profileCI vs q2: editorial side-by-side

P
profileCI
INFRA · APIS
0.0

Profile-likelihood confidence intervals for any fitted model, in a feed that publishes out of order.

◆ Current state

profileCI computes confidence intervals from the profile log-likelihood for user-supplied fitted models, generalising what confint.glm does for GLMs to any model object exposing a log-likelihood. The releases handle the awkward cases that make profiling fail in practice: infinite limits when the profile never drops below the interval threshold, bounded profiling ranges, and interpolation that breaks down near the limits. Only convex log-likelihoods are supported, so disjoint intervals are out of scope by design.

◆ Where it's heading

Work is concentrated on numerical reliability rather than scope: 1.1.1 replaced quadratic with monotonic cubic spline interpolation because the quadratic form could fail, and corrected parameter values stored near the confidence limits. The feed publishes these out of order, with the v1.0.0 entry stamped six months after v1.1.0 and carrying the package's full description rather than a changelog, so release order should be read from the version numbers rather than the dates. The same maintainer's revdbayes has been in pure maintenance across this period, which places profileCI as the more active project.

◆ Prediction

Expect further robustness work at the profiling limits and more logLikFn methods for common model classes, following the nls method added in 1.1.0.

Q
q2
INFRA · APIS
7.5

Two surfaces the original Quarto never had: llms.txt output and a live-share preview.

◆ Current state

q2 is the Quarto team's Rust reimplementation, shipping as a statically linked single binary with signed archives and a bundled Quarto Hub MCP server, still marked experimental and not production-ready. The cadence has held at roughly a release a day through mid-August, with raw commit logs standing in for curated notes. Until v0.22.0 the programme read as pure parity work against the existing Quarto — investigate, record design decisions, write tests red, implement in numbered phases. That release is the first to ship capability the original toolchain does not have.

◆ Where it's heading

The parity grind continues underneath — toc-location, add_html_dependency versioning, execute-visibility across both engines — but two strands now point past it. website.llms-txt makes a rendered site emit a machine-readable representation of itself: an llms.txt index, per-page .md companions, and a concatenated llms-full.txt, dogfooded on q2's own docs. The second is a long-running preview branch (PR #464, merged here) that turns q2 preview into a live-share editor with joinable guest sessions over an n0 relay and ephemeral, read-only-by-default boots. A reimplementation that only reaches parity has no argument for itself; these two give it one.

◆ Prediction

Expect the llms-txt and live-share strands to keep absorbing releases now that both have landed end-to-end, with the remaining Q1 parity items filling the gaps. The commit logs still name npx distribution for the standalone MCP bundle as the one explicitly planned item.

Alternatives to profileCI 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 profileCI or q2.

See all profileCI alternatives → · See all q2 alternatives →

Recent activity from profileCI and q2

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

  1. 1d agoq2llms.txt site output and a live-share collaborative preview
  2. 2d agoq2TOC entries carry inline markup; draft banner restored
  3. 3d agoq2Adds alias redirect stubs and diagnostic suppression
  4. 4d agoq2Bumps samod and automerge; fixes indented continuations
  5. 4d agoq2Lua filters supported; mermaid bundled instead of CDN-loaded
  6. 5d agoq2Mermaid cell options, callout titles, email autolinks
  7. 6mo agoprofileCICubic spline interpolation replaces a quadratic that could fail
  8. 7mo agoprofileCICRAN 1.0.0 release of profile-likelihood interval computation
  9. 1y agoprofileCIInfinite limits and bounded profiling ranges handled

Frequently asked questions

What is the difference between profileCI and q2?

They serve adjacent needs but don't currently overlap on shipped themes. q2 is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 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 profileCI better than q2?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. q2 is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 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 profileCI?

Top profileCI alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "profileCI alternatives" section above for the current picks, or visit /alternatives/profileci 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.