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kostya
jit-benchmarks
Ruby2020–2023
kostya / jit-benchmarks

jit-benchmarks

Benchmark for interpreted languages implementations.

3Distinct people
3Mentions
0Explicit recommenders
105GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Benchmark for interpreted languages implementations.

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 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 year3 dated mentions

Observed mentions: 2020-06-05 19:27:07 UTC to 2023-07-31 04:54:33 UTC.

0122020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023

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
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC211
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101

What Hacker News says

3 sources
Here ya go. On these sometimes one is faster, sometimes the other. https://github.com/kostya/jit-benchmarks/blob/master/README.... Personally i don’t like such comparisons. Benchmarking is hard and far from objective. Much of what makes python popular is the developer experience. Generic benchmarks will only give a rough guide about what to expect in your application. If you are in a niche like the OP, you will have to figure out how to handle your bottlenecks.
In What's up, Python? The GIL removed, a new compiler, optparse deprecated

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