fabric-cicd
Microsoft Fabric CI/CD
Decision gist · record as of 2026-08-14
Yes, if you are deploying Microsoft Fabric workspaces via CI/CD and want to avoid direct API calls. The package is actively maintained, has low install friction, carries a permissive MIT license, and has no known vulnerabilities. It is a fit for teams already committed to Fabric and seeking code-first deployment automation. Not relevant if you are not using Fabric or prefer manual deployments.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Azure credentials (via azure-identity) to authenticate with Microsoft Fabric; you must have a Fabric workspace and appropriate permissions.
- Low install friction with a pure Python wheel.
- Active maintenance: last commit 2026-08-13, release 4 days old.
License · maintenance · safety
MIT (permissive) — MIT license (permissive) means you can use, modify, and distribute this package freely in commercial and private projects, with minimal restrictions beyond attribution.
last release 2026-08-10 (4 days) · last repo commit 2026-08-13 · 320 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 433,632 downloads/mo, #6,700 on PyPI
Alternatives
Verify before relying
pip install fabric-cicd
from fabric_cicd import FabricClient
client = FabricClient(credential=...)
# Deploy or manage Fabric workspaces via the client- Specific Fabric workspace operations supported (deployment, validation, rollback, etc.) beyond the general 'CI/CD automation' claim.
- Whether the library handles multi-workspace or multi-environment deployments.
- Performance characteristics or limits when managing large numbers of items in a workspace.
What it is and what it does
fabric-cicd is a Python wrapper around Microsoft Fabric APIs designed to simplify CI/CD workflows for developers who want to automate Fabric workspace deployments without writing direct API code. It targets teams using Source Controlled Fabric workspaces and needing to integrate them into standard deployment pipelines.
The library depends on azure-identity for authentication, requests and urllib3 for HTTP communication, and utility libraries (dpath, jsonpath-ng, pyyaml, filetype) for data transformation and configuration handling. It runs on Python 3.9–3.13 and is actively maintained by Microsoft, with a recent release cycle.
Use it for
- Automate deployment of Fabric workspace items from a source control repository into development, staging, or production environments.
- Build CI/CD pipelines that validate and deploy Fabric artifacts without manual API interaction.
- Integrate Fabric workspace management into existing DevOps workflows and tools.
- Programmatically manage workspace configurations and item deployments as code.
- Enable teams to version-control Fabric workspace definitions and automate their promotion across environments.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are deploying Microsoft Fabric workspaces via CI/CD and want to avoid direct API calls.
The package is actively maintained, has low install friction, carries a permissive MIT license, and has no known vulnerabilities. It is a fit for teams already committed to Fabric and seeking code-first deployment automation. Not relevant if you are not using Fabric or prefer manual deployments.
Install
fabric-cicd on PyPI
Before you install
Low install friction with a pure Python wheel. Active maintenance: last commit 2026-08-13, release 4 days old. Supports Python 3.9 through 3.13. Seven runtime dependencies are all widely-used libraries (requests, pyyaml, azure-identity, etc.), suggesting stable, standard integrations.
Requires Azure credentials (via azure-identity) to authenticate with Microsoft Fabric; you must have a Fabric workspace and appropriate permissions.
License in practice
MIT license (permissive) means you can use, modify, and distribute this package freely in commercial and private projects, with minimal restrictions beyond attribution.
Quickstart
pip install fabric-cicd
from fabric_cicd import FabricClient
client = FabricClient(credential=...)
# Deploy or manage Fabric workspaces via the clientVerify before relying
- Specific Fabric workspace operations supported (deployment, validation, rollback, etc.) beyond the general 'CI/CD automation' claim.
- Whether the library handles multi-workspace or multi-environment deployments.
- Performance characteristics or limits when managing large numbers of items in a workspace.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <3.14,>=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagesazure-identitydpathfiletypejsonpath-ngpyyamlrequestsurllib3 |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 433,632 / month, #6,700 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9 |
Evidence: fabric_cicd-1.3.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “fabric ci/cd automation”
- fabric-cicdAbstracts Microsoft Fabric API interactions for code-first CI/CD…
- ms-fabric-cliA command-line interface for Microsoft Fabric that lets you navigate…
- fabricFabric executes shell commands remotely over SSH and returns results…
Give your agent the search over MCP, or paste the wish link into any chat.
More Build Tools packages
Provides reusable utilities for Python packaging interoperability, including version handling, specifiers, markers, requirements, tags, and metadata parsing according to standards like PEP 440 and PEP 425.
Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.
pip is the standard installer for Python packages, enabling you to download and install packages from the Python Package Index and other indexes into your Python environment.
Hatchling is a standards-compliant Python build backend that handles packaging, metadata, and distribution of Python projects when configured in a project's pyproject.toml file.
Generates Python gRPC service stubs and message classes from Protocol Buffer definitions, enabling developers to build gRPC clients and servers.
pre-commit is a framework for installing and running git hooks written in any language before commits are made, automating code quality and validation checks across multi-language projects.
Install it if your team needs consistent, automated validation at commit time.
See also ms-fabric-cli · Fabric3 · sfctl · microsoft-fabric-rti-mcp · fabric · apache-airflow-microsoft-fabric-plugin · fabric2 · semantic-link · apache-airflow-providers-microsoft-fabric · quipclient