profileCI
Profile-likelihood confidence intervals for any fitted model, in a feed that publishes out of order.
A side-by-side editorial comparison of q2 and quickr — release velocity, themes, recent moves, and the top alternatives to consider.
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.
quickr's R-to-Fortran compiler now handles matrices, closures and OpenMP.
quickr compiles a subset of R to Fortran and calls it back from R, so numerical code can run without hand-writing C or Fortran. Version 0.3.0 is the release where that subset stops being small: matrix and linear algebra operations lower to the same BLAS/LAPACK that R uses, local closures and sapply() are supported with copy-on-modify semantics preserved, and for loops and sapply() calls can be marked for OpenMP parallelism via declare(parallel()).
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.
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.
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.
quickr compiles a subset of R to Fortran and calls it back from R, so numerical code can run without hand-writing C or Fortran. Version 0.3.0 is the release where that subset stops being small: matrix and linear algebra operations lower to the same BLAS/LAPACK that R uses, local closures and sapply() are supported with copy-on-modify semantics preserved, and for loops and sapply() calls can be marked for OpenMP parallelism via declare(parallel()).
The first two releases filled in language basics, control flow, arithmetic operators, multiple return values. Version 0.3.0 shifts to the constructs real numerical code is actually written in, and the compiler work underneath it, nested compilation scopes and block-scoped temporaries, is aimed at large functions and heap-versus-stack control for big temporaries. Toolchain work points the same way: LLVM flang is used on macOS when present, and the minimum R version was lowered to 4.3.0 to widen who can install it.
Expect the next releases to keep extending the compilable subset toward the remaining apply-family functions and to build out the parallelism story that declare(parallel()) opens.
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 q2 or quickr.
Profile-likelihood confidence intervals for any fitted model, in a feed that publishes out of order.
Medical image registration, maintained with unusual care for other people's conventions.
A small R parser quietly becoming format-agnostic about front matter.
Submission validation for forecast hubs, rebuilt around which file each check belongs to.
rextendr put Rust-backed R packages in the browser, then tore itself down for a 1.0.0 rebuild
kwb.pkgbuild's CI templates went four years without a refresh, then had to be rebuilt for current runners
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
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.
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.
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.
Top quickr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "quickr alternatives" section above for the current picks, or visit /alternatives/quickr for the full list with editorial commentary on each.