We have hosted the application aws jupyter proxy in order to run this application in our online workstations with Wine or directly.


Quick description about aws jupyter proxy:

A Jupyter server extension to proxy requests with AWS SigV4 authentication. This server extension enables the usage of the AWS JavaScript/TypeScript SDK to write Jupyter frontend extensions without having to export AWS credentials to the browser. A single /awsproxy endpoint is added on the Jupyter server which receives incoming requests from the browser, uses the credentials on the server to add SigV4 authentication to the request, and then proxies the request to the actual AWS service endpoint. All requests are proxied back-and-forth as-is, e.g., a 4xx status code from the AWS service will be relayed back as-is to the browser. Using this requries no additional dependencies in the client-side code. Just use the regular AWS JavaScript/TypeScript SDK methods and add any dummy credentials and change the endpoint to the /awsproxy endpoint.

Features:
  • For S3, use the s3ForcePathStyle parameter during the client initialization
  • All requests are proxied back-and-forth as-is
  • Install all dev dependencies
  • Run unit tests using pytest
  • This library is licensed under the Apache 2.0 License
  • Write Jupyter frontend extensions without having to export AWS credentials to the browser


Programming Language: Python.
Categories:
Security, Software Development, Authentication/Directory

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