Data Science Notebooks Software
The best Data Science Notebooks Software based on votes, our collection of reviews, verified products and a total of 474 factors
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Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
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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.
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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.
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Developer tools for deep learning research
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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.
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Interactive code examples/posts
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Machine Learning Operationalization
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Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.
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Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
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The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.
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The open-source, web-based thinking tool that facilitates effective thinking for solving problems.
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Deep Learning and AI accessible to everyone
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Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS