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Comet.ml VS MCenter

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

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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.

MCenter logo MCenter

Machine Learning Operationalization
  • Comet.ml Landing page
    Landing page //
    2023-09-16
  • MCenter Landing page
    Landing page //
    2021-08-03

Comet.ml

Categories
  • Data Science And Machine Learning
  • Data Science Notebooks
  • Machine Learning Tools
  • Machine Learning
Website comet.com
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MCenter

Categories
  • Data Science And Machine Learning
  • Data Science Notebooks
  • Machine Learning Tools
  • Machine Learning
Website mcenterusa.com
Edit details

Comet.ml videos

+ Add

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

More videos:

  • Review - Comet.ml - Supercharging Machine Learning

MCenter videos

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MCenter MIS Macedonia

Category Popularity

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

Comet.ml

MCenter

Data Science And Machine Learning
56 56%
Data Science And Machine Learning
44% 44
Data Science Notebooks
48 48%
Data Science Notebooks
52% 52
Machine Learning
82 82%
Machine Learning
18% 18
Machine Learning Tools
35 35%
Machine Learning Tools
65% 65

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What are some alternatives?

When comparing Comet.ml and MCenter, 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.

Weights & Biases - Developer tools for deep learning research

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.

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

Spell - Deep Learning and AI accessible to everyone

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