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SigOpt VS Managed MLflow

Compare SigOpt VS Managed MLflow and see what are their differences

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SigOpt logo SigOpt

Optimize Everything. Tune your experiments automatically to get better results, faster. A/B testing.

Managed MLflow logo 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.
  • SigOpt Landing page
    Landing page //
    2023-04-09
  • Managed MLflow Landing page
    Landing page //
    2023-05-15

Category Popularity

0-100% (relative to SigOpt and Managed MLflow)

SigOpt

Managed MLflow

Data Science And Machine Learning
62 62%
Data Science And Machine Learning
38% 38
Python Tools
100 100%
Python Tools
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0

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What are some alternatives?

When comparing SigOpt and Managed MLflow, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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.

NumPy - NumPy is the fundamental package for scientific computing with Python

Weights & Biases - Developer tools for deep learning research

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