Retool
Retool is retiring standalone Assist while folding the same capability into the app builder.
Comparison · Infra & APIs
Depot vs ggInterval
A side-by-side editorial comparison of Depot and ggInterval — release velocity, themes, recent moves, and the top alternatives to consider.
Depot vs ggInterval: at a glance
| Feature | Depot | ggInterval |
|---|---|---|
| Sector | Infra & APIs | Infra & APIs |
| Velocity score | 6.3 | 0.0 |
| Sparks · 30d | 1 | 0 |
| Top themes | ci-cd, build-acceleration, test-intelligence, git-hosting | symbolic-data-analysis, interval-data, ggplot2, data-visualization |
| Last editorial update | 5d ago | 1h ago |
| Website | — | Visit → |
What is Depot?
Depot keeps absorbing the CI stack — tests, networking, runners, now its own git host.
Depot has moved well past build caching. Test results reached general availability in July with org-wide flaky, slow, and recurring failure analytics plus timing-based shard splitting; Sherlock's AI analysis became available on any run rather than only failed ones; and CI jobs can join a Tailscale tailnet to reach private services. The runner fleet now defaults to macOS 26 on M4 hardware, Depot CI understands GitHub stacked pull requests, and Depot Code — a diskless git server backed by blob storage — entered private beta.
What is ggInterval?
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.
Depot vs ggInterval: editorial side-by-side
Depot
6.3INFRA · APIS
Depot keeps absorbing the CI stack — tests, networking, runners, now its own git host.
◆ Current state
Depot has moved well past build caching. Test results reached general availability in July with org-wide flaky, slow, and recurring failure analytics plus timing-based shard splitting; Sherlock's AI analysis became available on any run rather than only failed ones; and CI jobs can join a Tailscale tailnet to reach private services. The runner fleet now defaults to macOS 26 on M4 hardware, Depot CI understands GitHub stacked pull requests, and Depot Code — a diskless git server backed by blob storage — entered private beta.
◆ Where it's heading
The pattern is absorbing each adjacent piece of the pipeline that Depot's position already gives it data about. It runs the builds, so it owns test timing, so it can balance shards; it runs the jobs, so it can diagnose them; it hosts the runners, so it can wire private networking into them. Depot Code extends the same logic upstream to source hosting, which would close the loop between repository and runner. A quieter parallel thread keeps moving SDK- and dashboard-only settings into the CLI, stated explicitly as making projects configurable by agents and scripts.
◆ Prediction
Depot Code widening past private beta and binding more tightly to CI is the move the rest of the window sets up. The test work is also positioned to go from reporting to selection — skipping tests a change cannot affect — since Depot now holds the timing and failure history that would require, though the entries stop short of saying so.
ggInterval
0.0INFRA · APIS
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to Depot and ggInterval
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 Depot or ggInterval.
WPML
WPML made machine translation the default, and its point releases keep chasing WordPress and page builders.
forestploter
A forest plot package that keeps handing users control of one more graphical detail.
rgm
A microbiome network model that got itself un-archived by deleting the dependency that killed it.
contagionchannels
Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.
tidyaudit
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
See all Depot alternatives → · See all ggInterval alternatives →
Recent activity from Depot and ggInterval
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 9d agoDepotmacOS 26 is now the default macOS version for GitHub Actions runners
- 16d agoDepotDepot CI now supports native GitHub stacked pull requests
- 19d agoDepotSet cache retention when creating a project with --cache-policy-keep-days
- 20d agoDepotView and edit project details from the Depot CLI
- 21d agoDepotTest results are now generally available ⚡
- 29d agoDepotAI analysis available for all Depot CI workflows and jobs
- 3mo agoggIntervalInterval correlation heatmaps and time-series-compatible line plots
- 6mo agoggIntervalExamples switched to donttest per CRAN review
- 6mo agoggIntervalVignette rewritten to cover every plot function
- 6mo agoggIntervalSeven plot functions renamed for consistency
Frequently asked questions
What is the difference between Depot and ggInterval?
They serve adjacent needs but don't currently overlap on shipped themes. Depot 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.
Is Depot better than ggInterval?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Depot 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.
What are the best alternatives to Depot?
Top Depot alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Depot alternatives" section above for the current picks, or visit /alternatives/depot for the full list with editorial commentary on each.
What are the best alternatives to ggInterval?
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.