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LaunchKit - Open Source VS Managed MLflow

Compare LaunchKit - Open Source VS Managed MLflow and see what are their differences

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Contents:
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LaunchKit - Open Source logo LaunchKit - Open Source

A popular suite of developer tools, now 100% open source.

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.
  • LaunchKit - Open Source Landing page
    Landing page //
    2023-09-19
  • Managed MLflow Landing page
    Landing page //
    2023-05-15

Category Popularity

0-100% (relative to LaunchKit - Open Source and Managed MLflow)

LaunchKit - Open Source

Managed MLflow

Developer Tools
100 100%
Developer Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Productivity
100 100%
Productivity
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100

User comments

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What are some alternatives?

When comparing LaunchKit - Open Source and Managed MLflow, you can also consider the following products

SmallDevTools - Handy developer tools with a delightful interface

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.

whatdevsneed - This is whatdevsneed.

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.

Google Open Source - All of Googles open source projects under a single umbrella

Weights & Biases - Developer tools for deep learning research

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