>However, we have gone back to plain python scripts for our bigger projects due to a simple reason - one must keep alive the notebook page while running lengthy

>However, we have gone back to plain python scripts for our bigger projects due to a simple reason - one must keep alive the notebook page while running lengthy experiments on a remote server. Known issue (it's a six year old issue IIRC). They're working on it if I'm not mistaken. They're also working on real-time collaboration. Plug: We have long-running notebook scheduling in the background and the output is streamed and saved whether you close your browser or visit from another device. We run the notebooks on your own Kubernetes cluster on GCP's GKE, AWS' EKS, Azure's AKS, DigitalOcean, and pretty much anything. https://iko.ai/static/assets/img/landing/async-notebook-on-cluster.gif https://iko.ai/static/assets/img/landing/async-notebook-on-c... The run saves everything as an experiment: it automatically detects model parameters without tagging cells, tinkering with metadata, or you calling a tracking library. We also automatically detect the model that is produced, and the model's metrics (again, without you doing anything). Show HN: https://news.ycombinator.com/item?id=29450940 https://news.ycombinator.com/item?id=29450940