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