KelpMesh for VS Code

Code-native data transformation — SQL and Python models, no Jinja required.

Run models, preview data, view lineage, and plan changes without leaving VS Code.

Features

Run / Test / Build / Preview / Compile / Plan — CodeLens buttons above each .sql or .py model file
Model tree view in the sidebar — all models in your project, with refresh and plan actions
37 SQL snippets — surrogate_key, safe_divide, datediff, haversine, and more
PII scan — detect sensitive columns in any model
Open Studio — launch the browser dashboard (kelpmesh studio) from the command palette

Install the KelpMesh CLI:

pip install kelpmesh-core

Open a folder containing a kelpmesh.yml project (or run kelpmesh init)
Open any .sql file in models/ — you'll see Run / Test / Preview buttons above it
Use the sidebar tree to browse all models
Run KelpMesh: Plan (dry run) to see what would change before running

Setting	Default	Description
kelpmesh.pythonPath	""	Python executable with kelpmesh-core installed. Blank = workspace interpreter.
kelpmesh.projectDir	""	Path to project root (folder with kelpmesh.yml). Blank = workspace root.
kelpmesh.autoRunOnSave	alse	Auto-run model on save.
kelpmesh.showCodeLens	rue	Show Run / Test / Preview buttons above model files.

Apache 2.0