Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

As someone who's done a lot of python and a fair bit of JavaScript, I'll agree with the preference for the python ecosystem. I guess my perception of the difference is a quantity vs quality thing. My experience has been that python packages tend to be more stable, better documented, and frankly more reasonable in scope. There's less framework churn (Django has been around for what feels like forever, as have lighter solutions like Flask) and libraries tend to include enough functionality to seem with adding a dependency for; the number of transitive dependencies on a typical JS project is alarming. Also much less of the ecosystem feels like it's just trying to make up for an absent standard library. You don't see stuff like underscore in python land.

Both languages suffer from patchwork build infrastructure; interpreted languages are great when you have one file and no dependencies, but as soon as you grow a bit beyond that rules about where to find modules make things complicated. Both languages have developed tooling around this that suffers from being an afterthought, and I'm not sure which is worse.



I guess this might not strictly belong to "the package ecosystem", but I strongly disagree that you can compare the npm packaging story to the pip packaging story. Publishing to npm, hosting your own npm instance, configuring npm to look behind proxies for certain packages, an opinionated `package.json` with real functionality beyond dependencies, a unified entrypoint, wow it actually boggles my mind to hear Python people say pip is even in the same room as npm.

Definitely let's be clear - babel & webpack and the associated ecosystem are a pain, but those are mostly borne of necessity to transpile HTML/CSS/JS from frameworks, and not because node.js itself isn't a decent language.

Finally, I don't really follow all this business about the lack of standard library. Can you explain to me what you mean? What parts of the Python standard library are a part of your everyday toolkit? I've built a lot of web apps over the years and the only time I've ever used lodash is for throttle and debounce.


What's the matter with publishing to PyPI or hosting your own instance?

The Python ecosystem makes publishing binary packages easy. node-pre-gyp might come close if you use S3.

The most used NPM packages[1] overlap with Python's argparse, datetime, glob, os, shutil, uuid, and xml modules.

[1] https://www.npmjs.com/browse/depended


>What's the matter with publishing to PyPI

This is a succinct guide to publishing a PIP package: https://medium.com/@joel.barmettler/how-to-upload-your-pytho...

An npm publish requires you to run `npm publish`, assuming your `package.json` points to the entrypoint of your code. Remember: `package.json` is pre-populated when you start your project with `npm init`.

Also, I was able to run my own NPM instance with a zero-config tool, I expect Python has parity there.

Anyways, pip... Just the other day, I went to use a Python project I had been regularly using, and without any changes to Python, my OS, pip, or the project, it completely started failing. Some errors that the `ssl` module wasn't available. How can a module not be available? There was no easy solution, all to something triggered by nothing. This install was literally done thru a source-controlled script too. It's a pretty awful situaton.

Anyways, NPM has never so wholly failed me, and in the worst cases where it fails it usually has helpful messages directing the user what to do.

That plus tools `npx` make it pretty clear to me, Python is literally version and dependency hell. NPM has had this all on lock for years now




Consider applying for YC's Winter 2026 batch! Applications are open till Nov 10

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: