Software Alternatives & Reviews

SIMON VS Managed MLflow

Compare SIMON VS Managed MLflow and see what are their differences

SIMON logo SIMON

Powerful machine learning knowledge discovery 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.
  • SIMON Landing page
    Landing page //
    2023-08-27

SIMON is powerful, flexible, open-source and easy to use machine learning software. Home for all your knowledge discovery questions!

  • Managed MLflow Landing page
    Landing page //
    2023-05-15

SIMON

$ Details
freemium
Platforms
Windows Mac OSX Linux Cross Platform PHP Web Docker
Release Date
2019 August

SIMON videos

Love, Simon - Movie Review

More videos:

  • Review - Love, Simon - Movie Review
  • Review - [REVIEW] Simon Micro, memory game

Managed MLflow videos

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Category Popularity

0-100% (relative to SIMON and Managed MLflow)
AI
100 100%
0% 0
Data Science And Machine Learning
Data Science Notebooks
0 0%
100% 100
Developer Tools
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare SIMON and Managed MLflow

SIMON Reviews

  1. 👍 Pros:    Advanced features|Automation|Advanced drawing tools|Accurate|Scalable

Managed MLflow Reviews

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What are some alternatives?

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

Amazon Machine Learning - Machine learning made easy for developers of any skill level

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.

Xano - Xano is the fastest way to build a scalable backend for your App using No Code.

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.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Weights & Biases - Developer tools for deep learning research