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Hopsworks VS Managed MLflow

Compare Hopsworks VS Managed MLflow and see what are their differences

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Hopsworks logo Hopsworks

Machine learning (ML) application building platform

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.
  • Hopsworks Landing page
    Landing page //
    2023-08-19
  • Managed MLflow Landing page
    Landing page //
    2023-05-15

Hopsworks videos

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Hopsworks 3.0: Introduction to the new Python-centric Feature Store

More videos:

  • Review - End-to-end anomaly detection model using the Hopsworks platform
  • Review - Hopsworks Live Coding: Installing Hopsworks Open Source

Managed MLflow videos

No Managed MLflow videos yet. You could help us improve this page by suggesting one.

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Category Popularity

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

Hopsworks

Managed MLflow

Data Science Notebooks
16 16%
Data Science Notebooks
84% 84
Data Science And Machine Learning
12 12%
Data Science And Machine Learning
88% 88
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Machine Learning Tools
9 9%
Machine Learning Tools
91% 91

User comments

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What are some alternatives?

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

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.

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.

Weights & Biases - Developer tools for deep learning research

Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

MCenter - Machine Learning Operationalization

Spell - Deep Learning and AI accessible to everyone

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