Software Alternatives & Reviews

Data Science Notebooks Software

The best Data Science Notebooks Software based on votes, our collection of reviews, verified products and a total of 343 factors

  1. 29

    Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

  2. 31

    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.

    freemium

  3. 27

    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.

  4. 27

    Developer tools for deep learning research

  5. 25

    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.

  6. 17

    Interactive code examples/posts

  7. 16

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

  8. 21

    Deep Learning and AI accessible to everyone

  9. 19

    Machine Learning Operationalization

  10. 16

    The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.

  11. Seldon increases engagement and revenue by providing a smarter personalised user experience.

  12. 17

    Machine Learning Operationalization

  13. 18

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

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