Windmill
Windmill absorbed dbt, un-gated its warehouse languages, and turned AI authoring on by default.
A side-by-side editorial comparison of Depot and Dashy — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Depot | Dashy |
|---|---|---|
| Sector | Infra & APIs | Infra & APIs |
| Velocity score | 7.5 | 6.3 |
| Sparks · 30d | 2 | 1 |
| Top themes | ci-cd, test-analytics, source-control, infrastructure | self-hosted, dashboard, drag-and-drop, widgets |
| Last editorial update | 2h ago | 5h ago |
| Website | — | Visit → |
Depot is no longer a build accelerator — it is assembling the whole CI stack underneath itself.
In roughly a month Depot shipped its own source-control hosting in private beta, took test results to GA with timing-based sharding and org-wide flake analytics, moved CI and Sandboxes onto its own bare-metal compute platform, and filled in the GitHub Actions compatibility surface with stacked pull requests, three additional triggers, and Tailscale access to private networks. Sherlock's AI analysis now runs on any workflow or job, not just failed ones.
The self-hosted dashboard finally let you drag things around instead of editing YAML.
Dashy tags a release per merged pull request, so the version number climbs several times a week while most tags carry a single dependabot bump or a translation file. The substance sits in 4.5.0, which added drag-and-drop editing of sections, items and widgets, rebuilt the GitHub stats widget on GitHub's own API with optional token authentication, and expanded number formatting in the custom-api widget. Point releases since have been an OIDC post-logout redirect, item sorting options, and an out-of-memory crash fix.
In roughly a month Depot shipped its own source-control hosting in private beta, took test results to GA with timing-based sharding and org-wide flake analytics, moved CI and Sandboxes onto its own bare-metal compute platform, and filled in the GitHub Actions compatibility surface with stacked pull requests, three additional triggers, and Tailscale access to private networks. Sherlock's AI analysis now runs on any workflow or job, not just failed ones.
The pattern is vertical integration: storage, compute, source control and test intelligence all being pulled in-house so Depot controls every tier. Test results is the first piece with its own metered price ($1 per million passing tests) rather than being folded into build minutes, which suggests the products are being built to stand alone. GitHub compatibility work continues because migration friction is the main thing standing between Depot and its target users.
Expect Depot Code to move from private beta toward general availability with Depot CI as its primary integration point, and expect GitHub Actions runners and container builds to complete the announced move onto Depot Metal.
Dashy tags a release per merged pull request, so the version number climbs several times a week while most tags carry a single dependabot bump or a translation file. The substance sits in 4.5.0, which added drag-and-drop editing of sections, items and widgets, rebuilt the GitHub stats widget on GitHub's own API with optional token authentication, and expanded number formatting in the custom-api widget. Point releases since have been an OIDC post-logout redirect, item sorting options, and an out-of-memory crash fix.
The direction is away from configuration-as-a-file toward direct manipulation, which is the friction that has always separated Dashy from simpler homepage dashboards. The supporting work lines up with it: sorting controls, better handling of long titles, richer widget formatting. The auth-adjacent changes — OIDC logout redirect, logout destination — suggest people are running Dashy behind an identity provider for more than one user.
With drag-and-drop editing shipped, the follow-on is most likely persistence and permissions questions around who can edit a shared dashboard, though these notes do not state that. Expect the per-PR release cadence to continue producing mostly dependency tags.
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 Dashy.
Windmill absorbed dbt, un-gated its warehouse languages, and turned AI authoring on by default.
Nine releases in four days, all of them small — Casdoor is grinding on tenant-level governance.
Resend spent a month making itself something agents and third-party apps can log into.
Prowler turned its assistant from a read-only explainer into something that can change your tenant.
NetBox is spending 4.6 paying down query cost, not adding models.
Buildkite is rebuilding its MCP server around what an agent actually does with a failed build.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Depot is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 1. 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. Depot is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
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.
Top Dashy alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Dashy alternatives" section above for the current picks, or visit /alternatives/dashy for the full list with editorial commentary on each.