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Monitor ML VS Managed MLflow

Compare Monitor ML VS Managed MLflow and see what are their differences

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Monitor ML logo Monitor ML

Real-time production monitoring of ML models, made simple.

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.
  • Monitor ML Landing page
    Landing page //
    2021-10-12
  • Managed MLflow Landing page
    Landing page //
    2023-05-15

Category Popularity

0-100% (relative to Monitor ML and Managed MLflow)

Monitor ML

Managed MLflow

Developer Tools
100 100%
Developer Tools
0% 0
Data Science And Machine Learning
23 23%
Data Science And Machine Learning
77% 77
AI
100 100%
AI
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100

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What are some alternatives?

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

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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.

Qualdo™ - Monitor mission-critical data quality & ML issues and drifts

Weights & Biases - Developer tools for deep learning research

TensorFlow Lite - Low-latency inference of on-device ML models

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.

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