accessr
One R Markdown source, four accessible formats — and a fortnight spent patching around someone else's bug.
A side-by-side editorial comparison of profileCI and rwasm — release velocity, themes, recent moves, and the top alternatives to consider.
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.
The toolchain that gets R packages into the browser is optimising for payload size, not features.
rwasm cross-compiles R packages to WebAssembly and assembles the virtual filesystem images that webR loads. Its three releases have moved from making cross-compilation work at all — Autoconf overrides, uname and pkg-config shims, OpenMP support — to controlling how the resulting artefacts are packaged and shipped. Every release is pinned to a specific webR version floor.
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.
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.
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.
rwasm cross-compiles R packages to WebAssembly and assembles the virtual filesystem images that webR loads. Its three releases have moved from making cross-compilation work at all — Autoconf overrides, uname and pkg-config shims, OpenMP support — to controlling how the resulting artefacts are packaged and shipped. Every release is pinned to a specific webR version floor.
The arc runs from correctness to delivery. The first release fought the cross-compilation environment itself, isolating builds from host libraries and shimming the tools configure scripts expect. The second replaced Emscripten's own file_packager with a custom metadata path and added gzip compression for filesystem images. The third is pure coordination, rebuilding the build system for webR 0.5.0. That cadence — roughly annual, each release gated on a webR version — makes this a component of the webR release train rather than an independently moving project.
The next release will most likely follow the next webR version, since two of three releases so far have been driven by a webR floor rather than by rwasm's own agenda.
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 rwasm.
One R Markdown source, four accessible formats — and a fortnight spent patching around someone else's bug.
The R package that installs Java for you stopped needing an update every time Java ships.
A young ML metrics package rewrote its own backend twice in six months chasing speed.
The AusTraits engine, generalised for anyone's trait database, now links measurements to real specimens.
Fail2Ban finally ships 1.1.1 after 14 months in beta, with a botched deb package on the way out the door
A logging header for Rcpp packages that sat untouched for nine years, then changed how it switches on
See all profileCI alternatives → · See all rwasm alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. profileCI and rwasm are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). 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. profileCI and rwasm are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
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.
Top rwasm alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "rwasm alternatives" section above for the current picks, or visit /alternatives/rwasm for the full list with editorial commentary on each.