azureml-contrib-services
Provides utilities for users which allows for handling of the raw http requests in webservices.
Decision gist · record as of 2026-08-14
Yes, if you are building webservices on Azure ML and need direct HTTP request handling. The low install friction, active maintenance, and lack of known vulnerabilities make it safe to try. However, the Alpha status and unclear proprietary license mean you should verify the license terms for your use case and be prepared for potential API changes. Not recommended for projects outside the Azure ML ecosystem.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later (supports 3.8, 3.9, 3.10, 3.11); deployment typically requires Azure ML webservice infrastructure.
- Low install friction with a single Flask dependency.
- Marked as active maintenance with a recent release 170 days ago, though classified as Alpha which may signal ongoing development.
License · maintenance · safety
(unclear) — Licensed under a proprietary agreement (Proprietary https://aka.ms/azureml-preview-sdk-license). The license treatment is unclear, meaning terms and restrictions are not standardized; review the linked license before using in production or redistribution.
last release 2026-02-25 (170 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 76,381 downloads/mo, #14,628 on PyPI
Alternatives
Verify before relying
pip install azureml-contrib-services
from flask import Flask
import azureml.contrib.services.aml_request as aml_request
app = Flask(__name__)
@app.route('/score', methods=['POST'])
def score():
request_body = aml_request.get_request_json()
return {'result': 'processed'}- What specific HTTP request handling capabilities does this package enable beyond Flask's native support?
- Are there breaking changes or API stability guarantees given the Alpha classification?
- What is the relationship between this contrib package and the main azureml SDK?
What it is and what it does
azureml-contrib-services is a utility package from Microsoft's Azure ML platform that extends Flask to handle raw HTTP requests in Azure ML webservices. It allows you to work directly with request objects rather than relying on higher-level abstractions. The package is designed for developers and researchers building machine learning services on Azure, targeting Python 3.8, 3.9, 3.10, and 3.11 across Windows, macOS, and Linux.
The package depends only on Flask, keeping installation lightweight. It is classified as Alpha, indicating it is still under active development and may not have reached stable API status. The proprietary license requires review before use in commercial or redistributed contexts. With 76381 monthly downloads, it has modest adoption within the Azure ML ecosystem.
Use it for
- Building custom Azure ML webservices that need direct access to HTTP request headers, body, or metadata.
- Handling non-standard request formats or protocols in Azure ML inference endpoints.
- Developing Flask-based microservices deployed through Azure ML's webservice infrastructure.
- Prototyping ML service request handling before moving to production Azure ML deployments.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building webservices on Azure ML and need direct HTTP request handling.
The low install friction, active maintenance, and lack of known vulnerabilities make it safe to try. However, the Alpha status and unclear proprietary license mean you should verify the license terms for your use case and be prepared for potential API changes. Not recommended for projects outside the Azure ML ecosystem.
Install
azureml-contrib-services on PyPI
Before you install
Low install friction with a single Flask dependency. Marked as active maintenance with a recent release 170 days ago, though classified as Alpha which may signal ongoing development.
Requires Python 3.8 or later (supports 3.8, 3.9, 3.10, 3.11); deployment typically requires Azure ML webservice infrastructure.
License in practice
Licensed under a proprietary agreement (Proprietary https://aka.ms/azureml-preview-sdk-license). The license treatment is unclear, meaning terms and restrictions are not standardized; review the linked license before using in production or redistribution.
Quickstart
pip install azureml-contrib-services
from flask import Flask
import azureml.contrib.services.aml_request as aml_request
app = Flask(__name__)
@app.route('/score', methods=['POST'])
def score():
request_body = aml_request.get_request_json()
return {'result': 'processed'}Verify before relying
- What specific HTTP request handling capabilities does this package enable beyond Flask's native support?
- Are there breaking changes or API stability guarantees given the Alpha classification?
- What is the relationship between this contrib package and the main azureml SDK?
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release <4.0,>=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageFlask |
| Maintenance | Actively maintained 170 days since the last release |
| First released | |
| Downloads | 76,381 / month, #14,628 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: Other/Proprietary LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: azureml_contrib_services-1.62.0-py3-none-any.whl
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