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Weaverstack

Weaver is a data-engineering framework for Microsoft Fabric. It coordinates Lakehouses, Warehouses, OneLake, Spark and T-SQL from one project, with a shared dependency graph and persistent operational state.

Installation

Weaver requires Python 3.11 or later and is tested on Python 3.11 and 3.13.

python -m pip install weaverstack

Minimal example

Create a project containing the Sales example, then build it into a Fabric workspace:

weaver initialise \
  --workspace Analytics \
  --project-folder ./analytics \
  --lakehouse Landing \
  --example \
  --non-interactive
cd analytics
weaver build

With --non-interactive, Weaver uses a configured service principal or Azure CLI sign-in and does not open a browser.

Documentation

Licence

Mozilla Public License 2.0. See LICENSE.

Metadata

Release files for weaverstack 0.9.0

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Source distribution for weaverstack 0.9.0
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Table of built distributions (wheels) for weaverstack 0.9.0
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weaverstack-0.9.0-py3-none-any.whl Python 3 none any Details

Total release size: 2.1 MB

Release files / weaverstack-0.9.0.tar.gz

Download URL weaverstack-0.9.0.tar.gz
Size 1.5 MB
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Release files / weaverstack-0.9.0-py3-none-any.whl

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This release

0.9.0 This release

2 release files

0.1.1

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