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Best practices compliance checker for Microsoft Fabric notebooks

Project description

fabric-notebook-compliance

Best practices compliance checker for Microsoft Fabric notebooks.

Installation

pip install fabric-notebook-compliance

Quick Start

from fabric_notebook_compliance import check_compliance

# Check all notebooks in a workspace
results = check_compliance(workspace_id="your-workspace-guid")
results.summary()

# Get pandas DataFrame
df = results.to_dataframe()

# Post to Teams
results.post_to_teams("https://your-webhook-url")

Usage

# Check single notebook
results = check_compliance(workspace_id="...", notebook_name="MyNotebook")

# Check specific folders
results = check_compliance(workspace_id="...", folder_filter=["FACT_ARR", "DIM_TSIOU"])

Compliance Checks (9 total)

Check Description
Markdown First First cell should be markdown
Purpose Document notebook purpose
Input Params Document inputs
Output Tables Document outputs
Change History Version tracking
Imports Grouped All imports at top
Snake Case Use snake_case naming
Minimal Expensive Ops Limit collect(), toPandas()
No Hardcoding No hardcoded values

Requirements

  • Must run inside Microsoft Fabric notebook
  • Workspace access to notebooks being checked

License

MIT

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