hyperia VS forem

Compare hyperia vs forem and see what are their differences.

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hyperia forem
1 198
44 21,573
- 0.3%
3.2 9.8
about 3 years ago 7 days ago
Zig Ruby
MIT License GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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hyperia

Posts with mentions or reviews of hyperia. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-13.
  • Lock-free, allocation-free, efficient thread pool
    6 projects | news.ycombinator.com | 13 Sep 2021
    This actually can be at the level of a missed optimization. A run queue with a lock-shared queue amongs all the threads scales even worse than the tokio version. Sharding the run queues and changing the notification algorithm, even while keeping locks on the sharded queues improves throughput drastically.

    Tokio is an async runtime, but I don't see why being an async runtime should make it worse from a throughput perspective for a thread pool. I actually started on a Rust version [0] to test out this theory of whether async-rust was the culprit, but realized that I was being nerd-sniped [1] at this point and I should continue my Zig work instead. If you're still interested, I'm open to receiving PRs and questions on that if you want to see that in action.

    It's still correct to benchmark and compare tokio here given the scheduler I was designing was mean to be used with async tasks: a bunch of concurrent and small-executing work units. I mention this in the second paragraph of "Why Build Your Own?".

    The thread pool in the post is meant to be used to distribute I/O bound work. A friend of mine hooked up cross-platform I/O abstractions to the thread pool [2], benchmarked it against tokio to be have greater throughput and slightly worse tail latency under a local load [3]. The thread pool serves it's purpose and the quicksort benchmark is to show how schedulers behave under relatively concurrent work-loads. I could've used a benchmark with smaller tasks than the cpu-bound partition()/insertion_sort() but this worked as a common example.

    I've already mentioned why rayon isn't a good comparison: 1. It doesn't support async root concurrency. 2. scoped() waits for tasks to complete by either blocking the OS thread or using similar inline-scheduler-loop optimizations. This risks stack overflow and isn't available as a use case in other async runtimes due to primarily being a fork-join optimization.

    [0]: https://github.com/kprotty/zap/blob/blog-rust/src/thread_poo...

    [1]: https://xkcd.com/356/

    [2]: https://github.com/lithdew/hyperia

    [3]: https://gist.github.com/kprotty/5a41e9612657de00788478a7dde4...

forem

Posts with mentions or reviews of forem. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-30.

What are some alternatives?

When comparing hyperia and forem you can also consider the following projects:

zap - An asynchronous runtime with a focus on performance and resource efficiency.

Discourse - A platform for community discussion. Free, open, simple.

OSStreams - Open-source, Cloud-native Streams

ComfyJS - Comfiest Twitch Chat Library for JavaScript | NodeJS + Browser Support

klipse - Klipse is a JavaScript plugin for embedding interactive code snippets in tech blogs.

reactor - Phoenix LiveView but for Django

ghost-on-heroku - One-button Heroku deploy for the Ghost 3.2.0 blogging platform.

Ruby on Rails - Ruby on Rails

Puma - A Ruby/Rack web server built for parallelism

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cypress-rails - Helps you write Cypress tests of your Rails app