Mito Is a JupyterLab Extension to Make Python Data Analysis Easy

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In this episode of Running in Production, Nate Rush goes over building a JupyterLab extension with Python. It runs locally in a Jupyter Notebook but they also host JupyterHub instances on a Kubernetes cluster running in EKS. It’s been running in production since late 2020.

Nate talks about building a cross platform Python installer, building and publishing a JupyterLab extension, leveraging Pandas, building the front-end with React / Typescript, hosting a version of their product on a Kubernetes cluster, the value in automating the hard stuff and more.

Topics Include

  • 1:15 – What is a Jupyter Notebook and how do JupyterLab extensions work?
  • 3:35 – 2 developers are currently building it
  • 6:50 – You can run it in an offline notebook or through their hosted service
  • 8:48 – Handling local installations across Windows, macOS and Linux
  • 15:58 – How users launch their Jupyter Notebook locally with this extension
  • 17:16 – How do you create a JupyterLab extension?
  • 21:10 – The back-end is built upon Pandas
  • 23:31 – How do front-end assets make their way into the extension?
  • 28:50 – Webpack is being used to bundle up the front-end assets
  • 29:36 – Using GitHub Actions to handle the deploy process for the JupyterLab extension
  • 35:20 – Front-end packages to help build a spreadsheet driven UI
  • 37:37 – Discovering front-end performance issues and errors through logging
  • 45:12 – Hosting JupyterHub instances on Kubernetes with EKS on AWS
  • 47:32 – The hosted version is free, but it’s on its way to being phased out
  • 51:57 – The workflow for deploying the Kubernetes set up and running 3-10 worker nodes
  • 54:56 – Backups of the Kubernetes cluster are handled with Velero
  • 56:13 – Route53 is hosting their DNS records
  • 57:29 – Best tips? They really love Typescript and also automate as much as possible
  • 1:00:58 – Don’t hesitate to ask for help and focus on what your users want
  • 1:06:34 – Check out
📄 References
⚙️ Tech Stack
🛠 Libraries Used

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May 03, 2021

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