azure-synapse-artifacts
Microsoft Azure Synapse Artifacts Client Library for Python
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained client for Azure Synapse Artifacts with no security vulnerabilities, permissive MIT licensing, low install friction, and broad Python version support (3.9–3.13). Install it if you need programmatic control over Synapse workspace artifacts; skip it if you only use the Azure Portal or CLI for artifact management.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later, Azure subscription, and valid Azure credentials configured via environment variables (AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET).
- Low install friction with a pure-Python wheel distribution.
- Maintained actively with recent releases; last commit 2026-08-14 and version 0.22.0 released 2026-03-23.
License · maintenance · safety
MIT License (permissive) — MIT License (permissive) allows unrestricted use, modification, and distribution in both open-source and commercial projects with minimal obligations.
last release 2026-03-23 (144 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 10,771,960 downloads/mo, #1,434 on PyPI
Alternatives
Verify before relying
pip install azure-synapse-artifacts
from azure.synapse.artifacts import ArtifactsClient
from azure.common import AzureHttpError
import os
endpoint = os.environ["SYNAPSE_ARTIFACTS_ENDPOINT"]
client = ArtifactsClient(endpoint=endpoint, credential=credential)- Whether the package supports offline or local-only artifact management without live Azure connectivity.
- Performance characteristics and rate limits when managing large numbers of artifacts or complex pipelines.
- Compatibility with non-Microsoft data sources or custom linked service types beyond those documented in release notes.
What it is and what it does
Azure Synapse Artifacts is the official Microsoft Python client for managing Synapse workspace artifacts—pipelines, datasets, linked services, and related metadata objects. It wraps the Azure Synapse REST API, allowing developers to programmatically define, deploy, and orchestrate data integration workflows within Azure Synapse Analytics.
The library depends on isodate for date parsing, azure-common and azure-mgmt-core for shared Azure SDK infrastructure, and typing-extensions for backward-compatible type hints. It is tested on Python 3.9 and later, actively maintained with recent feature additions across multiple linked service and dataset models, and carries no known security vulnerabilities.
Use it for
- Automate creation and deployment of Synapse pipelines and datasets as part of infrastructure-as-code workflows.
- Build CI/CD pipelines that programmatically update linked service configurations or dataset schemas in response to environment changes.
- Query and manage artifact metadata (pipelines, triggers, datasets) from custom monitoring or governance applications.
- Migrate or replicate Synapse workspace artifacts between development, staging, and production environments.
- Integrate Synapse artifact management into Python-based data orchestration frameworks or workflow engines.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is the official, actively maintained client for Azure Synapse Artifacts with no security vulnerabilities, permissive MIT licensing, low install friction, and broad Python version support (3.9–3.13). Install it if you need programmatic control over Synapse workspace artifacts; skip it if you only use the Azure Portal or CLI for artifact management.
Install
azure-synapse-artifacts on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Maintained actively with recent releases; last commit 2026-08-14 and version 0.22.0 released 2026-03-23. Supports Python 3.9–3.13 and carries Production/Stable status.
Requires Python 3.9 or later, Azure subscription, and valid Azure credentials configured via environment variables (AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET).
License in practice
MIT License (permissive) allows unrestricted use, modification, and distribution in both open-source and commercial projects with minimal obligations.
Quickstart
pip install azure-synapse-artifacts
from azure.synapse.artifacts import ArtifactsClient
from azure.common import AzureHttpError
import os
endpoint = os.environ["SYNAPSE_ARTIFACTS_ENDPOINT"]
client = ArtifactsClient(endpoint=endpoint, credential=credential)Verify before relying
- Whether the package supports offline or local-only artifact management without live Azure connectivity.
- Performance characteristics and rate limits when managing large numbers of artifacts or complex pipelines.
- Compatibility with non-Microsoft data sources or custom linked service types beyond those documented in release notes.
Package facts
| License | MIT License permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesisodateazure-commonazure-mgmt-coretyping-extensions |
| Maintenance | Actively maintained 144 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 10,771,960 / month, #1,434 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9 |
Evidence: azure_synapse_artifacts-0.22.0-py3-none-any.whl
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See also azure-mgmt-synapse · azure-mgmt-resource-templatespecs · azure-synapse-spark · azure-mgmt-datafactory · azure-synapse-accesscontrol · azure-mgmt-managementpartner · azure-synapse-managedprivateendpoints · azure-ai-projects · azure-mgmt-managedservices · azure-mgmt-servicelinker