canvas-layout

To auto-arrange Obsidian Canvas nodes, apply spatial algorithms like grid, dagre, radial, force-directed, linear, or auto-detect to reposition elements and improve visual organization. The tool validates results and creates backups before writing changes.

For a large knowledge graph in Obsidian Canvas, the force-directed or dagre algorithm is typically best. Canvases over 30 nodes are automatically delegated to a dedicated layout agent to handle the complexity and ensure optimal spatial organization.

Yes, automatically repositioning canvas nodes preserves your existing structure. The process maintains group memberships, snaps all nodes to a 20-pixel grid, and automatically refits zones around the newly positioned content.

Yes, you need Python installed to auto-layout an Obsidian Canvas. The process relies on Python scripts that accept a canvas path, chosen algorithm, and optional parameters to execute the spatial reorganization.

Yes, you can undo automatic canvas layout changes because the tool creates a backup of the canvas before applying any spatial algorithm. This backup ensures your original layout is preserved if the result is unexpected.

Use the auto-detect algorithm for mixed canvases where the optimal structure is unclear, as it automatically selects the best approach. Choose specific algorithms like radial or linear when you need predictable layouts for mind maps or timelines.