The hub — every DVT app on this machine, one door.
Cross-engine documentation and lineage: every model, source and column across all your connections, one graph.
Switch models on for REST consumption, control column access, and hand out endpoints instead of database credentials.
Your dvt commands on a cron — nightly builds, hourly syncs, scheduled retracts — with history and full logs per run.
Visual development: connections and default target set from a GUI, sources and models dragged into a query editor as source()/ref(), git sidebar, runner, mini-lineage, data preview — and a Build-with-AI pane.
Bring your own LLM key: prompts orchestrate DVT's capabilities on the fly and come back as results and charts you can save for later.
One click adds the profiler package via dvt deps, profiles any supported adapter, and charts the results.
SQL and Python scratchpads over your connections — try things fast, save what's worth keeping.
BI dashboards from basic charts and everything saved out of Chat with Data — multiple reports, one place.
Account & subscription, offline activation, this machine's specs, project connections & sync, AI credentials, and the hosting map — one place.