---
id: ibm-watson-machine-learning
version: "1.0.368"
license: BSD-3-Clause
license_treatment: permissive
maintenance: aging
---

# ibm-watson-machine-learning — IBM Watson Machine Learning API Client

License: permissive · Maintenance: aging · Downloads: 1.0M/mo

## What it is and what it does

ibm-watson-machine-learning is a Python SDK for interacting with IBM's Watson Machine Learning service on IBM Cloud and IBM Cloud Pak for Data. It provides APIs to train, test, and deploy machine learning models as callable endpoints for application integration and team collaboration. The library wraps HTTP interactions with the Watson ML backend, handling authentication and model lifecycle management through a Python interface.

The package is currently in deprecation mode as of June 2024, with IBM recommending migration to ibm-watsonx-ai for new projects. It depends on common HTTP and data-handling libraries (requests, urllib3, pandas, ibm-cos-sdk) and is maintained at production-stable status, though no releases have shipped in over a year.

Use it for:

- Deploy trained machine learning models as REST APIs on IBM Cloud for integration into production applications.
- Manage model versioning, testing, and promotion workflows within IBM Cloud Pak for Data environments.
- Share trained models with team members and collaborate on model evaluation and refinement.
- Automate model training and evaluation pipelines using Python scripts on IBM Cloud infrastructure.
- Integrate Watson ML service capabilities into Python data science workflows without direct REST calls.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Python client library for IBM Watson Machine Learning service, enabling model training, testing, and deployment as APIs on IBM Cloud and IBM Cloud Pak for Data.

No, unless you are maintaining existing code already using this package. The library is in active deprecation mode (since June 2024) with IBM explicitly recommending migration to ibm-watsonx-ai. New projects should adopt ibm-watsonx-ai instead. Existing users should plan migration using IBM's published guides.

## Install

pip install ibm-watson-machine-learning
uv add ibm-watson-machine-learning
poetry add ibm-watson-machine-learning

## Installing ibm-watson-machine-learning

Before you install: Low install friction with a pure-Python wheel and common dependencies. However, maintenance status is aging—the package entered deprecation mode starting with IBM Cloud Pak for Data 5.0.x (June 2024), with the project recommending migration to ibm-watsonx-ai.

License in practice: BSD-3-Clause permissive license allows commercial and private use with minimal restrictions, requiring only license and copyright notice retention.

Quickstart:

pip install ibm-watson-machine-learning

from ibm_watson_machine_learning import APIClient

client = APIClient(credentials)

Requires Python 3.10 or later (capped below 3.13); IBM Cloud credentials and active Watson Machine Learning service instance required.

Verify before relying:

- Specific model types and frameworks supported by the library beyond general training/testing/deployment capability.
- Whether the package is still receiving security patches or only in maintenance mode pending full deprecation.
- Compatibility and migration path details for users currently on ibm-watson-machine-learning moving to ibm-watsonx-ai.

## Package facts

- License: BSD-3-Clause (permissive)
- Python support: capped_below_current
- Install friction: low
- Maintenance: aging
- Downloads: 1.0M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

IBM Watson Machine Learning client, deploy machine learning models IBM Cloud, Watson ML API Python, IBM Cloud model training deployment, machine learning model management IBM, Watson ML service SDK, IBM Cloud Pak for Data ML, deprecated, IBM-cloud, model-deployment

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