Retool
Retool is retiring standalone Assist while folding the same capability into the app builder.
A side-by-side editorial comparison of Dust and ggInterval — release velocity, themes, recent moves, and the top alternatives to consider.
Dust doubles down on MCP-native agents with multi-model routing and enterprise guardrails.
Dust is building an MCP-native agent platform with broad model coverage and growing enterprise depth. The May cadence shows parallel investment in agent capability (vision via MCP tools, context compaction, frame editing/export) and operational readiness (audit logs, SIEM streaming, protocol migrations). Mobile is getting a voice-first input redesign.
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.
Dust is building an MCP-native agent platform with broad model coverage and growing enterprise depth. The May cadence shows parallel investment in agent capability (vision via MCP tools, context compaction, frame editing/export) and operational readiness (audit logs, SIEM streaming, protocol migrations). Mobile is getting a voice-first input redesign.
The product is converging on agents-in-the-enterprise via MCP, with multi-model routing as table stakes. MCP V2 migrations and image returns from MCP tools point to the protocol becoming Dust's integration backbone. The model-refresh cadence — three vendors in 48 hours — suggests model routing is now a core competency, not a feature.
Expect more MCP V2 connector migrations and richer MCP return types beyond images. The voice-first mobile input bar likely precedes a deeper voice-mode agent surface.
ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.
The package is consolidating an interface that had drifted. Renaming seven functions in a single release is the clearest signal — the naming was inconsistent enough to be worth breaking, and the vignette rewrite that followed suggests discoverability was the underlying complaint. Underneath that, the additions are steady and narrow: each release brings interval-aware versions of plot types that already exist for point data, which is the whole premise of the package.
The pattern of porting one more standard plot type into interval-aware form each release is the most likely continuation; the tsplot compatibility in the latest version hints that time-series interval data is the direction attracting attention.
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 Dust or ggInterval.
Retool is retiring standalone Assist while folding the same capability into the app builder.
WPML made machine translation the default, and its point releases keep chasing WordPress and page builders.
A forest plot package that keeps handing users control of one more graphical detail.
A microbiome network model that got itself un-archived by deleting the dependency that killed it.
Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
See all Dust alternatives → · See all ggInterval alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Dust is currently shipping more aggressively (velocity 8.8 vs 0.0), with 0 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. Dust is currently shipping more aggressively (velocity 8.8 vs 0.0), with 0 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 Dust alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Dust alternatives" section above for the current picks, or visit /alternatives/dust for the full list with editorial commentary on each.
Top ggInterval alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggInterval alternatives" section above for the current picks, or visit /alternatives/gginterval for the full list with editorial commentary on each.