profileCI
Profile-likelihood confidence intervals for any fitted model, in a feed that publishes out of order.
A side-by-side editorial comparison of quickr and Windmill — release velocity, themes, recent moves, and the top alternatives to consider.
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()).
Windmill gave away the warehouse connectors and now runs dbt natively — the trial is the strategy.
In a single fortnight Windmill moved BigQuery and Snowflake out of the Enterprise license and made dbt projects a first-class runtime executing on the customer's own workers. Around that, deployment got simpler — one target derived from workspace lineage, compare-and-deploy into any workspace — and the AI session surface keeps thickening: markdown artifacts, then version history over those artifacts with the assistant able to read past versions.
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.
In a single fortnight Windmill moved BigQuery and Snowflake out of the Enterprise license and made dbt projects a first-class runtime executing on the customer's own workers. Around that, deployment got simpler — one target derived from workspace lineage, compare-and-deploy into any workspace — and the AI session surface keeps thickening: markdown artifacts, then version history over those artifacts with the assistant able to read past versions.
The community edition is being loaded up with exactly what a data team needs to run a real trial: warehouse connectors, an unmodified dbt project, storage quota instead of an upload cap. Enterprise is being repositioned around scale and governance rather than feature access. The AI sessions track is developing on its own clock, moving from chat toward durable, versioned work products that survive a session.
Expect AI session artifacts to gain server-side persistence and sharing, since they are still stored in the browser and tied to the session. On the data side, the dbt runtime is likely to grow scheduling and lineage integration with the pipelines alpha rather than staying a standalone script language.
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 quickr or Windmill.
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
See all quickr alternatives → · See all Windmill alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Windmill is currently shipping more aggressively (velocity 8.8 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. Windmill is currently shipping more aggressively (velocity 8.8 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 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.
Top Windmill alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Windmill alternatives" section above for the current picks, or visit /alternatives/windmill for the full list with editorial commentary on each.