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README_Data Science Notebook Frameworks.md

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Data Science Notebook Frameworks

  • Binder - Binder hosts notebooks in an executable environment (for free).
  • H2O Flow - Jupyter notebook-like interface for H2O to create, save and re-use "flows"
  • Hydrogen - A plugin for ATOM that enables it to become a jupyter-notebook-like interface that prints the outputs directly in the editor.
  • Jupyter Notebooks - Web interface python sandbox environments for reproducible development
  • ML Workspace - All-in-one web IDE for machine learning and data science. Combines Jupyter, VS Code, Tensorflow, and many other tools/libraries into one Docker image.
  • Papermill - Papermill is a library for parameterizing notebooks and executing them like Python scripts.
  • Polynote - Polynote is an experimental polyglot notebook environment. Currently, it supports Scala and Python (with or without Spark), SQL, and Vega.
  • RMarkdown - The rmarkdown package is a next generation implementation of R Markdown based on Pandoc.
  • Stencila - Stencila is a platform for creating, collaborating on, and sharing data driven content. Content that is transparent and reproducible.
  • Voilà - Voilà turns Jupyter notebooks into standalone web applications that can e.g. be used as dashboards.