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JuliaLang
Microbenchmarks
C2018–2024
JuliaLang / Microbenchmarks

Microbenchmarks

Microbenchmarks comparing the Julia Programming language with other languages

4Distinct people
4Mentions
0Explicit recommenders
92GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Microbenchmarks comparing the Julia Programming language with other languages

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, 4:00:59 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 year4 dated mentions

Observed mentions: 2018-08-09 13:27:00 UTC to 2024-03-15 17:24:20 UTC.

0122018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 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): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024

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
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
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 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101

What Hacker News says

1 sources
> Every language I've ever seen with garbage collection has gone through decades of "now the garbage collection is better" or "just wait until the next version, garbage collection will be better". Ok but the Go example I linked is already in production, right now, you can use it. This isn't a "it will get better in two releases" situation, Go's GC as of today has pause times that are sub-millisecond. The Java Shenandoah example I linked is still mostly in beta, but it's also something you can use right now, though admittedly it'll probably be awhile before it's in a mainline release. > This is besides the point of performance and no longer talking about reality, it's just FUD from a "what if" future. It's not "just FUD", there are dozens of reported security issues that have happened because of bad manual memory management problems. Off
Read the rest
the top of my head, Heartbleed was a famous case. This isn't me badmouthing anyone; manual memory management is hard to get right, even for very smart people. > Right, but you get it by avoiding allocation and avoiding the garbage collector the same way avoiding allocation in C++ is important, but in julia it won't be woven in to the performance, it will cause big pauses. Fair enough, I did look at the code for the official benchmarks (https://github.com/JuliaLang/Microbenchmarks/blob/master/per...) and outside of the integer parsing code it does indeed seem to avoid dynamic allocations so I will concede that the benchmarks might be a bit more skewed compared to real-world code. I still get a hunch that if you compared it allocation-heavy Julia to malloc+free-heavy C++ the differences wouldn't really be that far off, but that's just a hunch and I don't have data to back that up; might be a fun test to write though, so maybe I'll try that this weekend. ----- Sort of tangential, but I also do think that there's value in having decent concurrency constructs built into the language. With C++, if you stick to built-ins you are basically stuck with mutexes and despite what people like to pretend, getting correct code with mutexes is really really hard to get right, and very easy to screw up in a non-obvious way. If you allow yourself to use libraries, then you have stuff like ZeroMQ and OpenMP and stuff, so it's really not that dire realistically. However, I think there's value in having nice, easy to use concurrency constructs in the language other than mutexes, and I do wonder if as a result of that it encourages people to utilize multiple threads more frequently, because they don't have to worry about weird deadlock situations as much. Again, I believe Rust actually does address this because of the single-owner-enforced-at-compile-time stuff, but I haven't used it enough to really draw a conclusion on it.
In Romeo and Julia, Where Romeo Is Basic Statistics

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