Why you need Danfo.js
To successfully bring a machine learning project written in Python to the web, there are a lot of processes and tasks to be carried out, things such as model deployment, creating API routes with frameworks such as Flask, FastAPI, or Django, and then using JavaScript to send HTTP requests to the model. You can clearly observe that the process involves a lot of JavaScript. It would be super awesome if we could perform all these processes in just JavaScript, wouldn't it? Well, the good news is that we can.
Over the past years, browsers have steadily increased in computational power and can support highly intensive computation, hence giving JavaScript the edge to challenge Python when it comes to data-intensive tasks.
With the help of Node.js, JavaScript has access to the GPU available on local computers, giving us the ability to undergo a full-stack machine learning project using Node.js for the backend and pure JavaScript for the frontend.
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