Chrome extension in python?

You can make a standard Google Chrome extension with Python (server-less) https://pythonspot.com/en/create-a-chrome-plugin-with-python/

The idea is to compile Python to Javascript (technically a JS pre-compiler) using Rapydscript. Then include the generated script in the Chrome extension. The site above has a zip file with all the stuff inside.

I recommend using Rapydscript instead of Pyjamas. A Python script compiled with Rapydscript works like any other Chrome plugin.

Pyjamas scripts does not work well with Google Chrome (needs a special parameter when Chrome starts or server).

Although you mentioned you don't want it to be a hosted app, but this is one typical scenario where a hosted app can do.

SciPy is not a package that is easy to deploy. Even if you are writing a installed application based on SciPy, it requires some effort to deploy this dependency. A web application can help here where you put most of the hard-to-deploy dependencies on the server side (which is a one-off thing). And the client side can be really light.

You can make AJAX calls to a separate service with Python from your Google Chrome Extension. All complex logic will be moved to separate microservice. There is a video how to create Chrome extension, maybe you will find something there - https://youtu.be/l17LDVytSE8

This is a way to achieve this using C# MVC .NET and the Python compiler. The versions are really case specific, such as the infrastructure you are making use of.

Within a controller of choice in your Web App:

one can use :

using System.Diagnostics; ProcessStartInfo start = new ProcessStartInfo(); Console.WriteLine("Starting Python Engine..."); start.FileName = @"~\Python\Python39\python.exe";// you will need to have a copy in an accessible folder. start.Arguments = string.Format("{0}", @"~/PythonScripts/PythonScriptName.py"); start.UseShellExecute = false; start.RedirectStandardOutput = true; Console.WriteLine("Starting Process..." + DateTime.Now.ToString()); 

Results can be retrieved as for instance:

using (Process process = Process.Start(start)) { using (StreamReader reader = process.StandardOutput) { string result = reader.ReadToEnd(); Console.Write(result); } } Console.WriteLine("Process Succeeded..." + DateTime.Now.ToString()); 

The results can then be populated within a model and sent to your page on Load/Post.

You can see examples of how I make use of this to evaluate z-spreads with a web front-end using python in this manner.

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