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About

Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture. Automate AI lifecycles with ModelOps pipelines. Speed data science development with AutoAI. Prepare and build models visually and programmatically. Deploy and run models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies and developers looking for a software solution to build, run and manage AI models

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

IBM
Founded: 1911
United States
www.ibm.com/products/watson-studio

Company Information

scikit-learn
United States
scikit-learn.org/stable/

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
ML.NET

ML.NET

Microsoft
MLlib

MLlib

Apache Software Foundation
Keepsake

Keepsake

Replicate

Categories

AI Development Supported
AI Governance Supported
Data Mining Supported
Data Preparation Supported
Data Science Supported
Machine Learning Supported

Categories

Machine Learning Supported

Integrations

DagsHub Not Supported
Databricks Not Supported
GLM-5.1 Not Supported
GLM-5.2 Not Supported
IBM Aspera Supported
IBM Cloud Supported
IBM Cloudant Supported
IBM DRaaS Supported
IBM DataStage Supported
IBM ECM Supported
IBM Informix Supported
IBM Watson Supported
IBM Watson Language Translator Supported
IBM Watson Recruitment Supported
MLJAR Studio Not Supported
Matplotlib Not Supported
ModelOp Not Supported
NumPy Not Supported
Python Not Supported
Thunder Compute Not Supported

Integrations

DagsHub Supported
Databricks Supported
GLM-5.1 Supported
GLM-5.2 Supported
IBM Aspera Not Supported
IBM Cloud Not Supported
IBM Cloudant Not Supported
IBM DRaaS Not Supported
IBM DataStage Not Supported
IBM ECM Not Supported
IBM Informix Not Supported
IBM Watson Not Supported
IBM Watson Language Translator Not Supported
IBM Watson Recruitment Not Supported
MLJAR Studio Supported
Matplotlib Supported
ModelOp Supported
NumPy Supported
Python Supported
Thunder Compute Supported
Claim IBM Watson Studio and update features and information
Claim IBM Watson Studio and update features and information
Claim scikit-learn and update features and information
Claim scikit-learn and update features and information