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Comet.ml VS Datatron

Compare Comet.ml VS Datatron 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.

Datatron logo Datatron

Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS
  • Comet.ml Landing page
    Landing page //
    2023-09-16
  • Datatron Landing page
    Landing page //
    2023-02-11

Comet.ml videos

+ Add

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

More videos:

  • Review - Comet.ml - Supercharging Machine Learning

Datatron videos

+ Add

Harish Doddi demos Datatron @SFNewTech on 1 Mar 2017 #SFNT @getdatatron

More videos:

  • Review - Virtual Records Management from Datatron

Category Popularity

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

Comet.ml

Datatron

Data Science And Machine Learning
60 60%
Data Science And Machine Learning
40% 40
Machine Learning Tools
39 39%
Machine Learning Tools
61% 61
Data Science Notebooks
54 54%
Data Science Notebooks
46% 46
Machine Learning
100 100%
Machine Learning
0% 0

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What are some alternatives?

When comparing Comet.ml and Datatron, 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

MCenter - Machine Learning Operationalization

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 - Deep Learning and AI accessible to everyone

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