ibm-watson-machine-learning
IBM Watson Machine Learning API Client
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (capped below 3.13); IBM Cloud credentials and active Watson Machine Learning service instance required.
- 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 · maintenance · safety
BSD-3-Clause (permissive) — BSD-3-Clause permissive license allows commercial and private use with minimal restrictions, requiring only license and copyright notice retention.
last release 2025-06-25 (415 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,016,134 downloads/mo, #4,501 on PyPI
Alternatives
Verify before relying
pip install ibm-watson-machine-learning
from ibm_watson_machine_learning import APIClient
client = APIClient(credentials)- 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.
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 on this page. Verify before relying on it.
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
ibm-watson-machine-learning on PyPI
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.
Requires Python 3.10 or later (capped below 3.13); IBM Cloud credentials and active Watson Machine Learning service instance required.
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)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 the current Python release <3.13,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 9 packagesrequestsurllib3pandascertifilomondtabulatepackagingibm-cos-sdkimportlib-metadata |
| Maintenance | Aging 415 days since the last release |
| First released | |
| Downloads | 1,016,134 / month, #4,501 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/StableIntended Audience :: DevelopersIntended Audience :: Information TechnologyIntended Audience :: Science/ResearchLicense :: OSI Approved :: BSD LicenseNatural Language :: EnglishOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.10Topic :: InternetTopic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Scientific/Engineering :: Information AnalysisTopic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python Modules |
Evidence: ibm_watson_machine_learning-1.0.368-py3-none-any.whl
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See also ibm-watsonx-ai · ibm-cos-sdk-core · ibm-vpc · ibm-cos-sdk · ibm-platform-services · hopsworks · ibm-secrets-manager-sdk · azureml-sdk · llama-index-embeddings-ibm · lightning-cloud