MimouneandClaude Opus 5.5 aca89d3428 feat: add fabric-medallion-dbt jumpstart (#231)
* feat: add fabric-medallion-dbt jumpstart

Refs #230

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* fabric-medallion-dbt: install v1.1.0

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* fabric-medallion-dbt: themed diagrams from the generator, light image on the page

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* medallion-dbt: drop "fabric" from the logical_id; install v1.1.1

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-15 08:40:30 -06:00
2026-01-13 12:16:43 -07:00
2026-05-07 16:54:15 -06:00
2026-01-13 12:16:29 -07:00
2026-01-13 12:12:09 -07:00

Arc Jumpstart logo

Ready-to-run accelerators, demos, and tutorials for Microsoft Fabric — automated, high-quality, and open-source.

PyPI Package · Browse Jumpstarts · Contributing

What is a Jumpstart?

A Jumpstart is a curated, tested Microsoft Fabric solution — data, notebooks, pipelines, reports, and supporting assets — that you can deploy end-to-end with a single call. Each Jumpstart is self-contained: data is bundled or generated for you, and post-install notebooks guide any manual configuration.

Projects

Project Description
fabric-jumpstart Core Python library — discover, install, and manage Jumpstarts in your Fabric workspace. Published to PyPI.
fabric-jumpstart-web Website for browsing Jumpstarts — hosted at jumpstart.fabric.microsoft.com.

Quick Start

pip install fabric-jumpstart
import fabric_jumpstart as jumpstart

# Browse the catalog
jumpstart.list()

# Deploy to your workspace
jumpstart.install("spark-structured-streaming")

See the fabric-jumpstart README for full usage, conflict handling, and API details.

Contributing

Please follow the contribution process in CONTRIBUTING.md and the coding expectations in STANDARDS.md.

Learn More

S
Description
No description provided
Readme MIT
25 MiB
0 Stars 1 Watchers 0 Forks
Languages
Jupyter Notebook 80.1%
TypeScript 9.1%
MDX 4.7%
Python 4.4%
JavaScript 0.9%
Other 0.7%