azureml

What it is and what it does

This is a legacy Python client library for Azure Machine Learning Studio that predates the modern Azure ML SDK. It allows you to authenticate to an Azure ML workspace, enumerate and access datasets stored there, and download them as Pandas DataFrames or raw binary/text data. You can also upload new datasets or update existing ones by serializing DataFrames back to the workspace. The library handles authentication via workspace ID and token, supports regional endpoints, and can read intermediate datasets from experiment outputs.

However, the package has been abandoned since 2019 and is no longer maintained. Microsoft has moved on to newer SDKs and platforms. The description itself notes that this content is no longer maintained and directs users to the Azure Machine Learning Notebooks project instead. The APIs and REST endpoints it connects to are subject to change and may no longer be compatible with current Azure ML infrastructure.

Use it for:

• Retrieve datasets from an existing Azure ML Studio workspace into a local Python environment for analysis or preprocessing
• Upload processed data back to Azure ML Studio as a new dataset after manipulation in Pandas
• Access intermediate datasets from completed ML Studio experiments for further analysis or reuse
• Automate dataset synchronization between local Python scripts and Azure ML Studio in legacy workflows

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Connects to Azure Machine Learning Studio workspaces to download, upload, and manage datasets from Python, with optional conversion to and from Pandas DataFrames.

No. This package is abandoned and no longer maintained as of 2019. Microsoft explicitly directs users away from it to newer Azure ML resources. Unless you are maintaining legacy code that already depends on it, you should use the current Azure ML Python SDK instead. The endpoints and APIs may no longer work with modern Azure services.

Install

azureml on PyPI

pip install azureml

uv add azureml

poetry add azureml

Installing azureml

Before you install

Installation is straightforward with no compiled dependencies, but the package is abandoned as of 2019 and no longer maintained. The repository is archived and has not received updates in several years, making it unsuitable for new projects.

License in practice

Licensed under the MIT License (permissive), which allows broad use, modification, and distribution with minimal restrictions.

Quickstart

pip install azureml

from azureml import Workspace

ws = Workspace(workspace_id='your-id', authorization_token='your-token')
for ds in ws.datasets:
    print(ds.name)
frame = ws.datasets[0].to_dataframe()

Requires valid Azure ML Studio workspace ID and authorization token; endpoints may no longer be operational since the package is abandoned.

Verify before relying

• Whether this package works with current Azure ML Studio infrastructure or if the endpoints and APIs have changed since abandonment
• Compatibility with Python versions beyond 3.4, given the package was last tested with Python 2.7, 3.3, and 3.4
• Whether the REST endpoints this library connects to are still operational or have been superseded by newer Azure ML services

Package facts

Evidence: azureml-0.2.7-py2.py3-none-any.whl

Tags

More Artificial Intelligence packages