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Visualizer for databricks bundle plan output

Project description

Dagshund

Colored diff summaries and interactive DAG visualizations for Databricks Asset Bundles. Requires a plan file from the direct deployment engine (databricks bundle plan -o json). See what changed, what's new, and what's being deleted — in your terminal or in the browser.

Dagshund resource graph

Install

Requires Python 3.12+.

# Run without installing (ephemeral)
uvx dagshund plan.json

# Persistent install
uv tool install dagshund

# Traditional pip
pip install dagshund

Usage

By default, dagshund prints a colored text diff to the terminal:

dagshund plan.json

Terminal output

Export an interactive HTML visualization with -o:

dagshund plan.json -o report.html

Open it in the browser automatically with -b:

dagshund plan.json -o report.html -b

Reads from stdin, so you can pipe directly from the Databricks CLI:

databricks bundle plan -o json | dagshund
databricks bundle plan -o json | dagshund -o report.html

Dagshund works anywhere — it just needs a plan JSON file. You don't need to run it from inside your bundle directory.

Use -e for CI-friendly exit codes (see CI Exit Codes).

Interactive Visualization

The HTML report shows your resources as an interactive graph with diff highlighting. Resources are organized into visual groups:

  • Workspace — jobs, alerts, experiments, pipelines, and other bundle resources
  • Unity Catalog — catalogs, schemas, volumes, and registered models in their hierarchy
  • Lakebase — database instances and synced tables (when present, flat resources move into an "Other Resources" group)

Click any node to open a detail panel with per-field structural diffs — old values in red, new values in green, unchanged fields for context.

Structural diff detail panel

Jobs with task dependencies get their own DAG view. Switch between the Resources and Jobs tabs to navigate between them.

Job task DAG

Phantom Nodes

If your schema references a parent catalog that isn't in your bundle, dagshund infers it and adds it to the graph as a phantom node (shown with a dashed border). Hierarchy phantoms like these always display because they hold the tree together. Inferred leaf nodes (like a warehouse referenced by an alert) can be toggled on or off with the Inferred leaf nodes button in the toolbar.

Lateral Dependencies

Many resources reference each other across hierarchies — an alert might target a SQL warehouse, or a serving endpoint might bind to a registered model. These relationships are hidden by default to keep the graph clean. Toggle Lateral dependencies in the toolbar to see how your resources connect across group boundaries.

Search

The search bar filters nodes by name or type. Non-matching nodes dim so matches stand out.

  • Type a name to filter: warehouse, analytics
  • Wrap in quotes for exact match: "analytics" finds only that node, not analytics_pipeline
  • Prefix with type: to filter by badge: type:wheel highlights all wheel tasks
  • Prefix with status: to filter by diff status: status:added, status:modified, status:removed
  • Press Escape to clear

The diff filter buttons (Added, Modified, Removed) compose with search — when both are active, only nodes matching both criteria stay highlighted. When exactly one node matches, the viewport auto-centers on it.

CI Exit Codes

Use --detailed-exitcode (or -e) for machine-readable exit codes in CI pipelines:

dagshund plan.json -e
Exit Code Meaning
0 Plan parsed, no changes detected
1 Error (bad input, missing file, etc.)
2 Plan parsed, changes detected
# Check for drift
dagshund plan.json -e
if [ $? -eq 2 ]; then echo "Drift detected"; fi

# Generate report AND get exit code
dagshund plan.json -o report.html -e

Without -e, dagshund always exits 0 on success.

Contributing

Dagshund is a solo project and I'm not accepting pull requests at this time. If you run into a bug or have a feature request, please open an issue — I'm happy to hear what you need.

Development

Requires Bun 1.3+, uv, and just.

just install        # Install dependencies
just dev            # Dev server with hot reload (http://localhost:3000)
just build          # JS template + Python wheel
just check          # Lint + typecheck + all tests

License

MIT

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