What is an open-source computing environment that allows for live code sharing and visualizations?

The correct answer is Jupyter because it is specifically designed as an open-source computing environment that supports live code sharing and visualizations. Jupyter Notebooks allow users to combine executable code, visualizations, and explanatory text in a single document, fostering an interactive computing experience. This format makes it ideal for collaboration and sharing of results in real-time, which is essential for data science and research applications.

Jupyter supports multiple programming languages, though it is most commonly associated with Python. Its capability to display rich media, such as graphs and images, alongside live code makes it a powerful tool for both educational purposes and professional data analysis.

In contrast, while Spyder and RStudio are excellent environments for coding in Python and R respectively, they do not inherently offer the same level of live sharing and interactive visualizations that Jupyter provides. Atom is primarily a text editor and does not function as a computing environment in the same way that Jupyter does, lacking the integrated features necessary for live code execution and interactive documents.