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tildeio
helix
Rust2016–2019
tildeio / helix · Archived

helix

Native Ruby extensions without fear

10Distinct people
10Mentions
0Explicit recommenders
2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Native Ruby extensions without fear

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

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

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 year10 dated mentions

Observed mentions: 2016-05-08 21:58:38 UTC to 2019-05-29 14:10:38 UTC.

012342016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2019

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
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC413
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC202
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC303
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101

What Hacker News says

10 sources
Rust can make .o files just fine. But yes, PHP had some of these types of tools (at least back in the day, haven't looked lately) for PECL extensions. Like Node, if it's C++ only or requires actual C source, writing glue is trivial, should have no performance cost, and is a way better option than completely switching WASM impl choices because of these limiting platforms. If you don't want to manually write this glue, there are often projects (like [0] for Ruby) that will help. Again, better than artificially constraining the implementation language. 0 - https://github.com/tildeio/helix
In The future of WebAssembly – A look at upcoming features and proposals
As others have mentioned, it's too slow for what the author was trying to achieve. He had a section where he ruled out cgo for performance reasons, so if that's too slow, spawning a child process will be much slower. That may not matter for your use case, but the author is clearly aiming for almost no overhead considering how easy it is to use cgo to call into Rust. The thing that should probably be said is that the difficulty is all on the Go side. Rust doesn't have any of the clumsiness that Go has when interacting with other languages. It's fully fluent in the lingua-franca of FFI (C ABI). If you were integrating your Ruby, Node or Python code with Rust instead of Go, there are nice libraries [1][2][3] that make it simple, easy and very low overhead. For users of these scripting languages, Rust is a nice tool to keep in your back pocke
Read the rest
t to pull out in the rare cases that you're not getting the performance you need. It means being able to choose your tools based solely on developer ergonomics and existing team knowledge knowing that in the rare cases that you do need do something computationally intensive, you can drop to Rust, push everything through a Rayon parallel iterator, write the performance-sensitive logic and push the result back. It's also really useful to use Rust in environments like Lambda/Cloud Functions that only support those scripting languages since those environments tend to charge based on memory and CPU time and Rust makes it easy to get by with a minimum of both. [1] https://github.com/tildeio/helix (Ruby) [2] https://github.com/neon-bindings/neon (Node) [3] https://github.com/pyo3/pyo3 (Python)
In Rustgo: Calling Rust from Go with near-zero overhead
Yeah, we iterated a bunch on this question, and I still don't think we have it quite right. On the REPL side, we've had a few prototyped out [1] out over the years. We'd love something someday. What do you use for your scientific computing? We are also have some projects that are trying to ease using Rust with other languages ([2], [3]), so knowing what we should priorities would help. [1]: https://github.com/murarth/rusti [2]: https://github.com/rustbridge/helix [3]: https://github.com/rustbridge/neon
In State of Rust Survey 2016

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