Transcrypt VS Hal9

This is a laudable effort, but I'm not a fan of shipping the entire interpreter. I looked around a few weeks ago and found https://transcrypt.org, which compiles your Python script to JS, so size is minimal. It's great for shipping small, internal tools/apps, I love how maintainable they are by all the Python devs, plus they're very fast to load and execute. - Source: Hacker News / almost 2 years ago

How is the Python being run by the browser? Several impressive projects bring Python to the browser, such as Brython, Transcrypt, Skulpt, Pyodide. PySketch uses Brython that compiles Python to JavaScript in the browser. You can take a look at this article about technologies and comparisons if you want to learn more. - Source: dev.to / about 2 years ago

I have a Python program that takes user input from the console and shows some results on the console, and I want the user to be able to type stuff into it instead of pre-recorded runs. How do I do that? I'm not really sure. You could have a copy of Python running on the server and have the front-end communicating with it, but you'd have to be sure it's secured -- there are a lot of dangerous Python commands... Source: over 2 years ago

For web apps: in my experience, there are tools that convert Python into JavaScript or try to make Python run inside a web browser like Brython and Transcrypt. These have been VERY awkward or painfully slow, so I would strongly discourage their use in practical web development. Source: almost 3 years ago

A while back, I posted about my initial foray into using Python to develop front-end web applications with React by using the Transcrypt transpiler. Python in the Browser Part of the initial learning process I went through was doing the official React tutorial, but using Python for the code instead of JavaScript. When I did that, I adhered to the structure of the application that was used in the tutorial... - Source: dev.to / over 3 years ago

At https://hal9.com, we built components for data science com native JavaScript to avoid the waiting times and download overhead if Pyodide. We found out the best tools for doing data science in the browser are a combination of Arquero and D3 and TensorFlow.js. At least for now. We wrote our findings of this and many other libraries here: https://news.hal9.com/posts/data-science-with-javascript. - Source: Hacker News / almost 2 years ago

Https://hal9.com helps data scientists build faster web applications. It uses WebGL and WebAssembly to process larger datasets, perform inference in the browser with TensorFlow.js, and enables running Python code with Pyodide. - Source: Hacker News / almost 2 years ago

If you want to build a web application on top of your ML project, give https://hal9.com a shot. We designed Hal9 with ease of use for deployment and maximum compatibility with web technologies that enable you to build ML apps with React, Vue, etc. We launched a couple months ago but could use some early feedback and users. Thank you! - Source: Hacker News / about 2 years ago

You can find more about this project at https://hal9.com — We allow you to edit any block with JavaScript and to export the analysis as as embeddable HTML. You can also use Python or NodeJS if you need more advanced functionality. Source: about 2 years ago

We are working in https://hal9.com which is language agnostic and allows you to compose different programming languages; however, we are focused at the moment at 1D-graphs but have plans to support 2D-graphs in the coming weeks. If you want a demo or just time to chat, I'm available at javier at hal9.ai. - Source: Hacker News / over 2 years ago