Software Alternatives & Reviews

Microsoft Azure Machine Learning Workbench VS Weights & Biases

Compare Microsoft Azure Machine Learning Workbench VS Weights & Biases and see what are their differences

Microsoft Azure Machine Learning Workbench logo Microsoft Azure Machine Learning Workbench

Learn about what happened to the Machine Learning Workbench application, what changed in Azure Machine Learning, and what the support timeline is.

Weights & Biases logo Weights & Biases

Developer tools for deep learning research
  • Microsoft Azure Machine Learning Workbench Landing page
    Landing page //
    2023-10-22
  • Weights & Biases Landing page
    Landing page //
    2023-07-24

Category Popularity

0-100% (relative to Microsoft Azure Machine Learning Workbench and Weights & Biases)
Data Science And Machine Learning
Data Dashboard
100 100%
0% 0
Data Science Notebooks
0 0%
100% 100
Data Science
100 100%
0% 0

User comments

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What are some alternatives?

When comparing Microsoft Azure Machine Learning Workbench and Weights & Biases, you can also consider the following products

datarobot - Become an AI-Driven Enterprise with Automated Machine Learning

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.