Rustler
plane
Rustler | plane | |
---|---|---|
35 | 23 | |
4,159 | 1,579 | |
0.7% | 2.0% | |
8.5 | 9.4 | |
4 days ago | 8 days ago | |
Rust | Rust | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Rustler
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AI Toolkit: Give a brain to your game's NPCs, a header-only C++ library
For performance intensive tasks, you could rely on Rust NIFs, there is this great project: https://github.com/rusterlium/rustler
My last project with Elixir was using Elixir merely as an orchestrator of static binaries (developed in golang) which were talking in JSON via stdin/stdout.
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Building Apps with Tauri and Elixir
From the moment we discovered Tauri, we really felt like this was the perfect fit. The API is really solid, the configuration files are minimal and easy to understand, and the usage of Rust makes it way easier to add new functionalities and think about interesting ways of interoperating with Elixir via the Rustler library.
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Async Rust Is A Bad Language
Elixir/Rust is the new Python/C++, and Rustler makes the communicating between the 2 languages super easy: https://github.com/rusterlium/rustler
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Why elixir over Golang
Rustler is so awesome for this. Write Elixir NIFs in Rust? Yes, please!
- Is RUST a good choice for building web browsers?
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Why do you enjoy systems programming languages?
But really, I would suggest thinking about what you want to build before "how" or "with which tool" - one of the signs of a person becoming a good engineer is having an array of tools at their disposal and being able to choose a correct tool for the correct task. Rust also excels in integrating with other languages - with JS via WebAssembly (a bit of self-promotion, for example), with Elixir via Rustler, with Python via PyO3 and PyOxidizer, etc. So you absolutely can start writing a frontend app with JS, or a distributed system with Elixir, or a data processing/ML app with Python and use Rust to speed up critical parts of those. Or, in reverse, you can start with Rust & add new capabilities to whatever you're building, that being a frontend, a resilient chat interface, or an ML model.
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PasswordRs 0.1.0 released (Rust NIF for password hashing)
I created a elixir (wrapper) library to generate password hashes. Other Elixir libraries use a C NIF to generate password hashes. This libary uses a Rust NIF (using Rustler) and the Rust libraries the generate the different hashes. Additionally this library uses RustlerPrecompiled so you don't need to have a Rust compiler installed to use this library. It supports argon2, scrypt, brypt and pbkdf2.
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Elixir and Rust is a good mix
> I guess, why not use Rust entirely instead of as a FFI into Elixir or other backend language?
Because Rust brings none of the benefits of the BEAM ecosystem to the table.
I was an early Elixir adopter, not working currently as an Elixir developer, but I have deployed one of the largest Elixir applications for a private company in my country.
I know it has limits, but the language itself is only a small part of the whole.
Take ML, Jose Valim and Sean Moriarity have studied the problem, made a plan to tackle it and started solving it piece by piece [1] in a tightly integrated manner, it feels natural, as if Elixir always had those capabilities in a way that no other language does and to put the icing on the cake the community released Livebook [2] to interactively explore code and use the new tools in the simplest way possible, something that Python notebooks only dream of being capable of, after a decade of progress
That's not to say that Elixir is superior as a language, but that the ecosystem is flourishing and the community is able to extract the 100% of the benefits from the tools and create new marvellously crafted ones, that push the limits forward every time, in such a simple manner, that it looks like magic.
And going back to Rust, you can write Rust if you need speed or for whatever reason you feel it's the right tool for the job, it's totally integrated [3][4], again in a way that many other languages can only dream of, and it's in fact the reason I've learned Rust in the first place.
The opposite is not true, if you write Rust, you write Rust, and that's it. You can't take advantage of the many features the BEAM offers, OTP, hot code reloading, full inspection of running systems, distribution, scalability, fault tolerance, soft real time etc. etc. etc.
But of course if you don't see any advantage in them, it means you probably don't need them (one other option is that you still don't know you want them :] ). In that case Rust is as good as any other language, but for a backend, even though I gently despise it, Java (or Kotlin) might be a better option.
[1] https://github.com/elixir-nx/nx https://github.com/elixir-nx/axon
[2] https://livebook.dev/
[3] https://github.com/rusterlium/rustler
[4] https://dashbit.co/blog/rustler-precompiled
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It's legos all the way down
unfortunately as of the time of this writing, rustler does not support generic type intefaces so I guess this is impossible?
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When Rust Hurts
One thing that drew me to Rust was actually Elixir/Erlang calling out to it for certain specialized needs. Within Elixir/Erlang you get best of breed concurrency but exiting the BEAM to run other code is unsafe. Calling out to Rust, however, comes with great safety guarantees.
Managing concurrency outside of Rust and then calling Rust for the more focused and specialized work is a good combination IMO.
https://github.com/rusterlium/rustler
plane
- Plane: A distributed system for running WebSocket services at scale
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Pingora: HTTP Server and Proxy Library, in Rust, by Cloudflare, Released
One reason I'm excited about this is that it appears to let you write arbitrary routing logic into a layer 7 proxy. This is something we had to build for https://plane.dev and it would have been nicer to use something like this, but we couldn't find anything like it at the time.
- Plane: A distributed system for running stateful WebSocket services at scale
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"VMWare rewritten in Rust
Of course, as a user, I would prefer as much as possible to be under MIT or Apache. See for instance https://plane.dev/ for a similar project which is MIT licensed and https://jamsocket.com/ for the commercial version.
- Session back end orchestrator for ambitious browser-based apps
- Plane – open-source Jira alternative
- Plane: A container orchestrator for ambitious browser-based applications
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The growing pains of database architecture
From an earlier blog post[1], the system for synchronizing file/document state lives independently for their database. As I understand it, their database is for metadata rather than actual document content.
> It’s worth noting that we only use multiplayer for syncing changes to Figma documents. We also sync changes to a lot of other data (comments, users, teams, projects, etc.) but that is stored in Postgres, not our multiplayer system, and is synced with clients using a completely separate system that won’t be discussed in this article. Although these two systems are similar, they have separate implementations because of different tradeoffs around certain properties such as performance, offline availability, and security.
This post[2] goes into more detail on how they spin up backend processes to serve as the source of truth while documents are open (we took heavy inspiration from it when building https://plane.dev, which aims to be an open-source implementation of that architecture.)
[1] https://www.figma.com/blog/how-figmas-multiplayer-technology...
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Show HN: Accelerated Docker builds on your local machine with Depot (YC W23)
We have been happily using Depot for months now to build https://plane.dev. Prior to finding Depot, we basically gave up on building an M1 image from a GitHub action.
(btw, I always get suspicious when a Show HN post has a lot of praise in the comments, but I swear the Depot folks did not ask me to post anything and I only saw the post because I was checking HN)
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Launch HN: Depot (YC W23) – Fast Docker Images in the Cloud
Congrats on the launch!
We've been using Depot with Plane (https://plane.dev/). Prior to depot, I had to disable arm64 builds because they slowed the build down so much (30m+) on GitHub's machines. With Depot, we get arm64 and amd64 images in ~2m.
What are some alternatives?
gleam - ⭐️ A friendly language for building type-safe, scalable systems!
Centrifugo - Scalable real-time messaging server in a language-agnostic way. Self-hosted alternative to Pubnub, Pusher, Ably. Set up once and forever.
hsnif - Tool that allows to write Erlang NIF libraries in Haskell
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
nifty - helpful tools for when I need to create an Elixir NIF .
pingora - A library for building fast, reliable and evolvable network services.
carbon-lang - Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
aper - A Rust data structure library built on state machines.
Akka - Build highly concurrent, distributed, and resilient message-driven applications on the JVM
nix2container - An archive-less dockerTools.buildImage implementation
elixir-nodejs - An Elixir API for calling Node.js functions
cli - 🖥️ Depot CLI, build your Docker images in the cloud