Software Alternatives & Reviews

Spell VS Managed MLflow

Compare Spell VS Managed MLflow and see what are their differences

Spell logo Spell

Deep Learning and AI accessible to everyone

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.
  • Spell Landing page
    Landing page //
    2022-09-23
  • Managed MLflow Landing page
    Landing page //
    2023-05-15

Spell videos

Love Spells 24 Reviews ๐Ÿ’™ My experience with their spells (excited to share)

More videos:

  • Review - SPELL Opulent Decay Album Review | Overkill Reviews
  • Review - LETS REVIEW Spells That Work

Managed MLflow videos

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Category Popularity

0-100% (relative to Spell and Managed MLflow)
Data Science And Machine Learning
AI
100 100%
0% 0
Data Science Notebooks
42 42%
58% 58
Developer Tools
100 100%
0% 0

User comments

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What are some alternatives?

When comparing Spell 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.

Neuton.AI - No-code artificial intelligence for all

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

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.

Weights & Biases - Developer tools for deep learning research