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Spell VS 5Analytics

Compare Spell VS 5Analytics and see what are their differences

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Spell logo Spell

Deep Learning and AI accessible to everyone

5Analytics logo 5Analytics

The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.
  • Spell Landing page
    Landing page //
    2022-09-23
  • 5Analytics Landing page
    Landing page //
    2022-05-08

Spell videos

+ Add

Love Spells 24 Reviews 💙 My experience with their spells (excited to share)

More videos:

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

5Analytics videos

+ Add

5Analytics - The AI Operating System

More videos:

  • Review - 5Analytics - The AI Operating System

Category Popularity

0-100% (relative to Spell and 5Analytics)

Spell

5Analytics

Data Science And Machine Learning
69 69%
Data Science And Machine Learning
31% 31
AI
100 100%
AI
0% 0
Data Science Notebooks
50 50%
Data Science Notebooks
51% 51
Developer Tools
100 100%
Developer Tools
0% 0

User comments

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What are some alternatives?

When comparing Spell and 5Analytics, 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

MCenter - Machine Learning Operationalization

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.

Datatron - Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS

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