OctaSine VS aquatic

Since I last posted here, I've implemented multiple features for OctaSine, a free and open source frequency modulation synth plugin (VST2, CLAP), some of which were heavily requested.

I just released version 0.8.2 of OctaSine, my free and open source frequency modulation synth (source code on GitHub). It is available as a VST2 plugin for macOS, Windows and Linux.

Then I'd heavily recommend trying out a free FM synth VST before spending any money ;). Dexed is popular, but maybe a bit too much (6 operators), this one or this one might be a bit easier (4 operators) - and your DAW probably already has its own FM synth, like Abletons Operator or FL Studios Sytrus.

OctaSine. The dev posts updates on r/synthesizers regularly.

Source code: https://github.com/greatest-ape/OctaSine

I just released a version 0.8.0 of my free and open source FM (frequency modulation) VST synth OctaSine. The main improvements are:

I would like to add it, but not having Apple Silicon hardware to test it makes it more complicated. If you create an issue in the GitHub repository, you will get an email if I add it.

OctaSine, a digital frequency modulation synthesizer

I am the developer of aquatic, a BitTorrent tracker with world-leading performance, and OctaSine, a frequency modulation digital synthesizer (both written in Rust).

I have been working in Rust for about 4 years, mainly as the developer of aquatic and OctaSine and as a contributor to baseview. I have prior experience in web development using technologies such as actix-web, TypeScript, React, Django and PostgreSQL.

How does Bitmagnet compare to Aquatic? https://github.com/greatest-ape/aquatic

I have a question on UnsafeCell usage that popped up while implementing io_uring support for aquatic_udp. I find the docs slightly confusing (in particular the part that I've marked in bold):

I've done a new round of benchmarking of open UDP BitTorrent tracker implementations. Results were great for aquatic_udp, achieving double the throughput of opentracker when running on 8 CPU cores:

If you run your tracker on Linux and an info hash whitelist approach would work for your use case, it might be worthwhile having a look at aquatic_ws [0]. It relies on tungstenite [1] for websockets and achieves around 20x the throughput of the reference implementation when running with four threads.

[0] https://github.com/greatest-ape/aquatic

aquatic, a multithreaded BitTorrent tracker with world-leading performance

But aquatic_udp doesn't use glommio.. https://github.com/greatest-ape/aquatic/pull/29

aquatic is a Apache 2.0-licensed BitTorrent tracker written in Rust that I have developed over the last couple of years. It focuses on correctness, stability and high performance.

The udp request parsing code seems to have been copied from aquatic. Please note that the Apache 2.0 license requires attribution.