azure-synapse-spark
Microsoft Azure Synapse Spark Client Library for Python
Decision gist · record as of 2026-08-14
Yes, if you are building Python applications that need to interact with Azure Synapse Spark clusters. The package has low install friction, permissive licensing, and active repository maintenance. However, verify that its API surface and feature set meet your needs before committing to it for new projects, given the gap since the last release.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Azure credentials and an active Azure Synapse workspace endpoint; authentication setup depends on your Azure environment.
- Low install friction with a pure-Python wheel distribution.
- Maintenance is active with recent commits, though the package itself has not been updated since October 2021, suggesting it may be in maintenance mode rather than active development.
License · maintenance · safety
MIT License (permissive) — MIT License permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
last release 2021-10-05 (1774 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 10,308,416 downloads/mo, #1,461 on PyPI
Alternatives
Verify before relying
pip install azure-synapse-spark
from azure.synapse.spark import SparkClient
from azure.identity import DefaultAzureCredential
credential = DefaultAzureCredential()
client = SparkClient(credential=credential, endpoint="https://<workspace>.dev.azuresynapse.net")- Whether Python 2.7 support has actually been dropped post-2022 despite classifiers still listing it.
- Current compatibility with Python 3.10+ beyond what classifiers declare.
- Whether the gap since last release indicates the package is feature-complete or abandoned.
What it is and what it does
Azure Synapse Spark is a client library for the Microsoft Azure SDK that enables Python developers to interact with Apache Spark clusters provisioned in Azure Synapse Analytics. It wraps the Livy API, allowing you to submit Spark jobs, monitor their execution, and retrieve results programmatically. The library depends on msrest, azure-common, azure-core, and azure-synapse-nspkg to handle REST communication, authentication, and Azure SDK conventions.
The package is classified as Beta and has been tested against Python 2.7 through 3.9, though Python 2.7 support ended in January 2022. It is maintained as part of the broader Azure SDK for Python but has not received updates since 2021-10-05, suggesting it may be stable or in maintenance mode rather than under active feature development.
Use it for
- Automate Spark job submission and monitoring in Azure Synapse from Python applications or CI/CD pipelines.
- Build data engineering workflows that programmatically trigger and track Spark computations on cloud infrastructure.
- Integrate Spark cluster management into Python-based data platforms or orchestration tools.
- Query Spark job status and retrieve execution logs from remote Synapse workspaces via API.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building Python applications that need to interact with Azure Synapse Spark clusters.
The package has low install friction, permissive licensing, and active repository maintenance. However, verify that its API surface and feature set meet your needs before committing to it for new projects, given the gap since the last release.
Install
azure-synapse-spark on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Maintenance is active with recent commits, though the package itself has not been updated since October 2021, suggesting it may be in maintenance mode rather than active development.
Requires Azure credentials and an active Azure Synapse workspace endpoint; authentication setup depends on your Azure environment.
License in practice
MIT License permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
Quickstart
pip install azure-synapse-spark
from azure.synapse.spark import SparkClient
from azure.identity import DefaultAzureCredential
credential = DefaultAzureCredential()
client = SparkClient(credential=credential, endpoint="https://<workspace>.dev.azuresynapse.net")Verify before relying
- Whether Python 2.7 support has actually been dropped post-2022 despite classifiers still listing it.
- Current compatibility with Python 3.10+ beyond what classifiers declare.
- Whether the gap since last release indicates the package is feature-complete or abandoned.
Package facts
| License | MIT License permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesmsrestazure-commonazure-coreazure-synapse-nspkg |
| Maintenance | Actively maintained 1,774 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 10,308,416 / month, #1,461 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 2Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: azure_synapse_spark-0.7.0-py2.py3-none-any.whl
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See also azure-mgmt-synapse · synapseml · azure-synapse-accesscontrol · azure-synapse-managedprivateendpoints · azure-mgmt-streamanalytics · livy · azure-synapse-artifacts · LucoPy · azure-mgmt-hanaonazure · azure-kusto-data