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ML Showcase VS Managed MLflow

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

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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ML Showcase logo ML Showcase

A curated collection of machine learning projects

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.
  • ML Showcase Landing page
    Landing page //
    2019-02-28
  • Managed MLflow Landing page
    Landing page //
    2023-05-15

Category Popularity

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

ML Showcase

Managed MLflow

AI
100 100%
AI
0% 0
Data Science And Machine Learning
29 29%
Data Science And Machine Learning
71% 71
Developer Tools
100 100%
Developer Tools
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100

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What are some alternatives?

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

Evidently AI - Open-source monitoring for machine learning models

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.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

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.

Lobe - Visual tool for building custom deep learning models

Weights & Biases - Developer tools for deep learning research

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