Demonstration of ElasticNotebook: Migrating Live Computational Notebook States
Zhaoheng Li, Supawit Chockchowwat, Hanxi Fang, Ribhav Sahu, Sumay Thakurdesai, Kantanat Pridaphatrakun, Yongjoo Park · 2024
Computational notebooks (e.g., Jupyter, Google Colab) are widely used for interactive data science and machine learning. However, existing notebook systems lack the functionality of reliably and efficiently persisting thenotebook session state consisting of user-defined variables (e.g., processed datasets, ML models), hence the termination of a session often leads to loss of work.