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Spell VS Hopsworks

Compare Spell VS Hopsworks and see what are their differences

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Spell logo Spell

Deep Learning and AI accessible to everyone

Hopsworks logo Hopsworks

Machine learning (ML) application building platform
  • Spell Landing page
    Landing page //
    2022-09-23
  • Hopsworks Landing page
    Landing page //
    2023-08-19

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

Hopsworks videos

+ Add

Hopsworks 3.0: Introduction to the new Python-centric Feature Store

More videos:

  • Review - End-to-end anomaly detection model using the Hopsworks platform
  • Review - Hopsworks Live Coding: Installing Hopsworks Open Source

Category Popularity

0-100% (relative to Spell and Hopsworks)

Spell

Hopsworks

Data Science And Machine Learning
90 90%
Data Science And Machine Learning
10% 10
Data Science Notebooks
78 78%
Data Science Notebooks
22% 22
AI
100 100%
AI
0% 0
Developer Tools
100 100%
Developer Tools
0% 0

User comments

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What are some alternatives?

When comparing Spell and Hopsworks, 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

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.

MCenter - Machine Learning Operationalization

Weights & Biases - Developer tools for deep learning research

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