Retool
Retool is retiring standalone Assist while folding the same capability into the app builder.
A side-by-side editorial comparison of BorgBackup and ggInterval — release velocity, themes, recent moves, and the top alternatives to consider.
Borg's long-running 2.0 beta finally landed packs — and warned it dropped back to alpha quality.
Borg runs two trains in the same feed. The 1.4.x line is explicitly a refreshed 1.2 — same features and behaviour, with the riskier changes isolated so they could be tested before shipping — and it has taken over as the recommended branch since 1.2.9 was called the final 1.2 release. The 2.0 line has been in beta since well before this window, at b22 as of July 2026, with every release carrying a do-not-use-on-production warning. b22 introduced packs and the maintainers told users to expect alpha stability despite the beta number.
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.
Borg runs two trains in the same feed. The 1.4.x line is explicitly a refreshed 1.2 — same features and behaviour, with the riskier changes isolated so they could be tested before shipping — and it has taken over as the recommended branch since 1.2.9 was called the final 1.2 release. The 2.0 line has been in beta since well before this window, at b22 as of July 2026, with every release carrying a do-not-use-on-production warning. b22 introduced packs and the maintainers told users to expect alpha stability despite the beta number.
The split is the story: one branch exists purely to keep existing users safe and current, while the other rewrites how data is stored on disk. Packs are the kind of change that determines whether 2.0 ever ships — repository layout affects performance, resumability and every recovery path at once, and the honesty about stability regressing suggests the shakeout is still ahead. The 1.4 line will keep absorbing fixes and low-severity security work in the meantime, and the b18 corruption bug shows why the two trains are kept firmly apart.
Expect further 2.0 betas focused on packs stability before anything resembling a release candidate, with 1.4.x continuing to carry routine fixes for production users.
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 BorgBackup 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 BorgBackup 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. BorgBackup is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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. BorgBackup is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 BorgBackup alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "BorgBackup alternatives" section above for the current picks, or visit /alternatives/borgbackup 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.