HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
transitive-bullshit
scikit-learn-ts
TypeScript2023–2023
transitive-bullshit / scikit-learn-ts

scikit-learn-ts

Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.

2Distinct people
2Mentions
0Explicit recommenders
214GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 2:04:58 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by hour2 dated mentions

Observed mentions: 2023-03-13 18:50:22 UTC to 2023-03-14 00:52:15 UTC.

012023-03-13 18:00:00 UTC to 2023-03-13 19:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMar 13, 18:002023-03-13 19:00:00 UTC to 2023-03-13 20:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-03-13 20:00:00 UTC to 2023-03-13 21:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-03-13 21:00:00 UTC to 2023-03-13 22:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMar 13, 21:002023-03-13 22:00:00 UTC to 2023-03-13 23:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-03-13 23:00:00 UTC to 2023-03-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-03-14 00:00:00 UTC to 2023-03-14 01:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMar 14, 00:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Mar 13, 18:002023-03-13 18:00:00 UTC2023-03-13 19:00:00 UTC110
Mar 13, 19:002023-03-13 19:00:00 UTC2023-03-13 20:00:00 UTC000
Mar 13, 20:002023-03-13 20:00:00 UTC2023-03-13 21:00:00 UTC000
Mar 13, 21:002023-03-13 21:00:00 UTC2023-03-13 22:00:00 UTC000
Mar 13, 22:002023-03-13 22:00:00 UTC2023-03-13 23:00:00 UTC000
Mar 13, 23:002023-03-13 23:00:00 UTC2023-03-14 00:00:00 UTC000
Mar 14, 00:002023-03-14 00:00:00 UTC2023-03-14 01:00:00 UTC101

What Hacker News says

1 sources
So I did a lot of ML work in grad school and have also built 4 iOS apps and two web apps. I can tell you building statistical models is not a very interesting grind, it’s mostly cleaning data and fiddling parameters. It’s also unlikely anyone would hire non-stat/math degreed person to do that stuff. On the other hand you’re prob goood at turning models into a. Usable product. Here’s a recent library to do that in NODE https://github.com/transitive-bullshit/scikit-learn-ts
In Ask HN: Has anyone made the transition from app development to ML/AI work?

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.