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Top 9 Data Science Notebooks in Data Science Tools

The best Data Science Notebooks within the Data Science Tools category - based on our collection of reviews & verified products.

Jupyter Managed MLflow neptune.ai Deepnote Comet.ml Iterative.ai nbviewer.org Binder

Summary

The top products on this list are Jupyter, Managed MLflow, and neptune.ai. All products here are categorized as: Data Science Notebooks. Tools and platforms for data analysis and scientific computation. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

    #Data Science And Machine Learning #Data Science Tools #Data Science Notebooks 206 social mentions

  2. 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.

    #Data Science And Machine Learning #Data Science Notebooks #Machine Learning Tools

  3. 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.
    Pricing:
    • Open Source
    • Freemium
    • Free Trial

    #Data Science And Machine Learning #Data Science Notebooks #Machine Learning Tools 22 social mentions

  4. A collaboration platform for data scientists

    #Data Science And Machine Learning #Data Science Tools #Data Science Notebooks 32 social mentions

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

    #Data Science And Machine Learning #Data Science Notebooks #Machine Learning

  6. Developer tools for deep learning research

    #Data Science And Machine Learning #Data Science Notebooks #Machine Learning Tools

  7. Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

    #Data Science And Machine Learning #Data Science Notebooks #Machine Learning Tools 6 social mentions

  8. Rackspace server host Jupyter Notebooks from your github repo

    #Data Visualization #Data Science And Machine Learning #Data Science Notebooks 13 social mentions

  9. 9
    Turn a Git repo into a collection of interactive notebooks

    #Data Science And Machine Learning #Data Science Notebooks #Data Science Tools 35 social mentions

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