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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 WorkOS — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | quickr | WorkOS |
|---|---|---|
| Sector | Infra & APIs | Infra & APIs |
| Velocity score | 0.0 | 8.8 |
| Sparks · 30d | 0 | 3 |
| Top themes | compilers, fortran, linear-algebra, parallelism | identity, agent-auth, scim, developer-tools |
| Last editorial update | 44m ago | 20h ago |
| Website | Visit → | — |
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()).
WorkOS is building the identity layer for agents while quietly making it easy to switch to it.
WorkOS sells enterprise-readiness infrastructure — SSO, SCIM directory sync, and AuthKit — to application developers. The recent work runs on two tracks. One is a fast-moving agent stack: agent identities registering through an open protocol, a proxy that calls third-party APIs so applications never hold user tokens, and Atlas, an AI coworker that is an end-user product rather than a developer primitive. The other is adoption and developer experience, including a local API for CI/CD testing and a reversible SCIM migration bridge.
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.
WorkOS sells enterprise-readiness infrastructure — SSO, SCIM directory sync, and AuthKit — to application developers. The recent work runs on two tracks. One is a fast-moving agent stack: agent identities registering through an open protocol, a proxy that calls third-party APIs so applications never hold user tokens, and Atlas, an AI coworker that is an end-user product rather than a developer primitive. The other is adoption and developer experience, including a local API for CI/CD testing and a reversible SCIM migration bridge.
The agent releases fit together as one bet: if agents are going to act on users' accounts, someone has to issue their identities and hold their credentials, and WorkOS is positioning to be that party in both cases. What is notable is the pairing with go-to-market plumbing. A reversible SCIM proxy with zero downtime and safe rollbacks is not a capability story, it is a switching-cost story, and shipping it alongside the agent work suggests confidence that the platform is worth migrating onto.
Expect the agent identity and token custody pieces to converge into a single documented stack, since Pipes and Agent Registration currently solve adjacent halves of the same problem. Atlas remains the thinnest-described release and the least clear in intent.
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 WorkOS.
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 WorkOS alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. WorkOS is currently shipping more aggressively (velocity 8.8 vs 0.0), with 3 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. WorkOS is currently shipping more aggressively (velocity 8.8 vs 0.0), with 3 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 WorkOS alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "WorkOS alternatives" section above for the current picks, or visit /alternatives/workos for the full list with editorial commentary on each.