pyscript VS slipcover

You are right for the most part. I attended a talk about pyscript[1] (runs python in the browser using wasm which is similar) and there is a 2x performance hit.

[1] https://pyscript.net

PyScript maintainer here - I'd love to hear more about this application! Either here, or over on our Discord (invite link is on the GitHub Page [1]).

[1] https://github.com/pyscript/pyscript?tab=readme-ov-file#summ...

For the first question - why your code previously created an HTML node but now just prints out the literal characters of the HTML - that was a change made in 2022.12.1, in Pull Request 915 to be specific. You can check out the single-line change that caused this, if you want. Essentially, calls to Element.write() or display() have their contents escaped by default, which wasn't the case before.

Note that in the current release (2023.03.1 at time of writing), py-[event] listeners are only hooked up once at page-load time, so changing that attribute after the page loads won't do anything. In the upcoming release, py-[event] handlers are dynamically attached and managed each time a py-[event] attribute on the page is changed. (PR 1435)

PyScript started as a usability layer around Pyodide for those not used to working in JS. It's now working on things like incorporating the Micropython runtime as an alternative, moving the interpreter to a worker thread, adding a plugins ecosystem, easier events API's, and more.

Some answers: https://github.com/pyscript/pyscript/discussions/1414

You can also check out the WebGL demo from the PyScript examples, which uses Thee.JS.

Mainly, the pys-onClick syntax that was present in earlier version in favor of the new py-* syntax, where * is a browser event name. It also takes a string of executable python instead of the name of a Callable. So in your case, you'd use py-click="get_input()". (There's a long-in-progress PR on GitHub with more examples.)

PyScript ? This is still experimental.

The PLASMA lab @ UMass Amherst (home of the Scalene profiler) has released a new version of Slipcover, a super fast code coverage tool for Python. It is by far the fastest code coverage tool: in our tests, its average slowdown is just 5% (compare to the widely used coverage.py, average slowdown 218%!). The latest release performs both line and branch coverage with virtually no overhead. Use it to dramatically speed up your tests and continuous integration!

slipcover – Near Zero-Overhead Python Code Coverage