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按最近已完成的 8 小时观测回合间的 GitHub 星标增量排序
按最近已完成的 8 小时观测回合间的 GitHub 星标增量排序
Fabric Jumpstart provides high-quality accelerators, demos, and tutorials that install directly into your workspace in minutes.
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Ready-to-run accelerators, demos, and tutorials for Microsoft Fabric — automated, high-quality, and open-source.
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.
See the fabric-jumpstart README for full usage, conflict handling, and API details.查看完整 README ↗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.
| 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. |
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.
Please follow the contribution process in CONTRIBUTING.md and the coding expectations in STANDARDS.md.