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Hopsworks VS Comet.ml

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

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Hopsworks logo Hopsworks

Machine learning (ML) application building platform

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.
  • Hopsworks Landing page
    Landing page //
    2023-08-19
  • Comet.ml Landing page
    Landing page //
    2023-09-16

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

Comet.ml videos

+ Add

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

More videos:

  • Review - Comet.ml - Supercharging Machine Learning

Category Popularity

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

Hopsworks

Comet.ml

Data Science Notebooks
20 20%
Data Science Notebooks
80% 80
Data Science And Machine Learning
16 16%
Data Science And Machine Learning
84% 84
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Machine Learning
0 0%
Machine Learning
100% 100

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What are some alternatives?

When comparing Hopsworks and Comet.ml, 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.

MCenter - Machine Learning Operationalization

Spell - Deep Learning and AI accessible to everyone

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