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 dockViewR and profileCI — release velocity, themes, recent moves, and the top alternatives to consider.
Draggable dock panels for Shiny, learning that layout state belongs on the client
dockViewR wraps the dockview JavaScript library so Shiny apps can offer draggable, splittable, tabbed panel layouts — the IDE arrangement, driven from R. Three releases since May 2025 have taken it from a working widget to one with a proper server-side control surface: panels can be added, removed, selected and moved from the server, and the dock exposes a reactive proxy.
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.
dockViewR wraps the dockview JavaScript library so Shiny apps can offer draggable, splittable, tabbed panel layouts — the IDE arrangement, driven from R. Three releases since May 2025 have taken it from a working widget to one with a proper server-side control surface: panels can be added, removed, selected and moved from the server, and the dock exposes a reactive proxy.
The design has been converging on the standard htmlwidgets pattern, and 0.3.0 is where it commits. Earlier releases routed panel-id checks through Shiny inputs, which meant the state was stale until the next reactive flush and forced awkward workarounds when manipulating the dock inside observeEvent(). Moving those checks to the browser and adding dock_view_proxy() drops that class of bug entirely, at the cost of a breaking API change and a dev-mode option for surfacing the warnings.
Having taken one breaking change to reach the proxy idiom, the natural follow-on is filling out the proxy surface so every panel operation is reachable through it.
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.
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 dockViewR or profileCI.
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.
The toolchain that gets R packages into the browser is optimising for payload size, not features.
Fail2Ban finally ships 1.1.1 after 14 months in beta, with a botched deb package on the way out the door
See all dockViewR alternatives → · See all profileCI alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. dockViewR and profileCI 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. dockViewR and profileCI 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 dockViewR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "dockViewR alternatives" section above for the current picks, or visit /alternatives/dockviewr for the full list with editorial commentary on each.
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.