Fabric Icons

175 official Microsoft Fabric SVG icons with metadata.

Finding Icons

Run the search script instead of reading the full index (saves context):

python3 scripts/search_icons.py "<query>" [limit]

Examples:

python3 scripts/search_icons.py "lakehouse"
python3 scripts/search_icons.py "pipeline" 5
python3 scripts/search_icons.py "streaming kql"

Returns matching icons as JSON with id, name, description, tags, and url. Use the url field directly as an image source.

For bulk operations or browsing all icons, read references/index.json.

Index Entry Format

{
  "id": "lakehouse",
  "name": "Lakehouse",
  "description": "Lakehouse database built over a data lake for big data processing with Apache Spark and SQL",
  "tags": ["data", "lakehouse", "storage"],
  "filename": "lakehouse_48_item.svg",
  "url": "https://raw.githubusercontent.com/AlahmadiQ8/icons/main/icons/lakehouse_48_item.svg"
}

Using Icons in HTML Diagrams

<img src="https://raw.githubusercontent.com/AlahmadiQ8/icons/main/icons/lakehouse_48_item.svg"
     alt="Lakehouse" width="48" height="48" />

Using Icons in PPTX

Download the SVG from the url and add it as a picture:

from pptx import Presentation
from pptx.util import Inches
import urllib.request, tempfile, os

url = "https://raw.githubusercontent.com/AlahmadiQ8/icons/main/icons/lakehouse_48_item.svg"
tmp = tempfile.NamedTemporaryFile(suffix=".svg", delete=False)
urllib.request.urlretrieve(url, tmp.name)

prs = Presentation()
slide = prs.slides.add_slide(prs.slide_layouts[6])
slide.shapes.add_picture(tmp.name, Inches(1), Inches(1), Inches(1), Inches(1))
os.unlink(tmp.name)

Common Icon IDs

Key Fabric items: lakehouse, data_warehouse, pipeline, notebook, dataflow_gen2, eventstream, event_house, kql_database, semantic_model, report, dashboard, sql_database, spark_job_direction, model, experiments, environment, copilot, reflex, datamart, copy_job

Workloads: fabric, data_engineering, data_factory, data_science, real_time_intelligence, power_bi, databases, industry_solutions

Storage: one_lake, lakehouse, data_warehouse, sql_database