DataRobot notebooks provide easier access to data science workflows

Artificial intelligence provider DataRobot is launching DataRobot Notebooks, a fully integrated laptop solution within the DataRobot AI platform that enables data scientists to collaborate on code-first workflows with one-click access to embedded laptops.

DataRobot Notebooks streamline the code development experience for data science workflows, with an emphasis on automation, reproducibility, scalability and collaboration, according to the company.

This enhanced capability brings value to data science teams with:

  • Interoperability: DataRobot Notebooks are compatible and interoperable with the Jupyter Notebook standard, speeding up onboarding to the DataRobot AI platform. DataRobot laptops come with pre-built and pre-installed containerized environments that have frequently used open source machine learning libraries, including NumPy, Seaborn, scikit-learn, SciPy and more.
  • Native integration within DataRobot: DataRobot Notebooks is fully integrated with the DataRobot ecosystem, allowing data scientists to run their code directly on the platform with all the libraries and tools they need. With this deep integration, DataRobot Notebooks serve as a code-centric solution for users leveraging the capabilities of DataRobot AutoML and MLOps.
  • Centralized Administration: DataRobot Notebooks is a unified environment with centralized governance and granular access controls, so data scientists can easily organize, collaborate, and share notebooks and related assets among individuals and teams.
  • Enhanced Features: Users can now write and run custom code on cloud-based laptops with access to private, scalable, containerized computing environments. DataRobot Notebooks also provide version history, code snippets, code intelligence capabilities like code completion, credential management, built-in visualizations, and more.

“Customers want a notebook solution that allows them to focus on their data science work instead of infrastructure management,” said Venky Veeraraghavan, senior vice president of products at DataRobot. “With DataRobot Notebooks, data science teams can take advantage of a fully managed, secure, cloud-based solution that helps make their work a true team sport. By providing the foundation for success and eliminating infrastructure maintenance, DataRobot Notebooks users can easily progress and collaborate as a team.”

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