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Data Science Notebooks Software

The best Data Science Notebooks Software based on votes, our collection of reviews, verified products and a total of 101 factors
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  1. 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. 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.


  3. 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.

  4. Developer tools for deep learning research

  5. Deep Learning and AI accessible to everyone

  6. Machine Learning Operationalization

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

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

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

  10. Machine Learning Operationalization

  11. Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.

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

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

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