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Comet.ml VS Spell

Compare Comet.ml VS Spell and see what are their differences

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Build powerful web apps, and create your custom AI apps, no code needed! featured
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Comet.ml logo Comet.ml

Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

Spell logo Spell

Deep Learning and AI accessible to everyone
  • Comet.ml Landing page
    Landing page //
    2023-09-16
  • Spell Landing page
    Landing page //
    2022-09-23

Comet.ml videos

+ Add

Running Effective Machine Learning Teams: Common Issues, Challenges & Solutions | Comet.ml

More videos:

  • Review - Comet.ml - Supercharging Machine Learning

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

Category Popularity

0-100% (relative to Comet.ml and Spell)

Comet.ml

Spell

Data Science And Machine Learning
37 37%
Data Science And Machine Learning
63% 63
Data Science Notebooks
53 53%
Data Science Notebooks
47% 47
AI
0 0%
AI
100% 100
Machine Learning
100 100%
Machine Learning
0% 0

User comments

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What are some alternatives?

When comparing Comet.ml and Spell, 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.

Weights & Biases - Developer tools for deep learning research

Neuton.AI - No-code artificial intelligence for all

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.

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.

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.

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