rust-numpy VS wasmtime

Compare rust-numpy vs wasmtime and see what are their differences.

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rust-numpy wasmtime
10 172
1,015 14,407
5.1% 2.8%
6.7 10.0
9 days ago 7 days ago
Rust Rust
BSD 2-clause "Simplified" License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

rust-numpy

Posts with mentions or reviews of rust-numpy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-27.
  • Numba: A High Performance Python Compiler
    11 projects | news.ycombinator.com | 27 Dec 2022
    On the contrary, it can use and interface with numpy quite easily: https://github.com/PyO3/rust-numpy
  • Carefully exploring Rust as a Python developer
    9 projects | news.ycombinator.com | 13 Nov 2022
  • Hmm
    13 projects | /r/ProgrammerHumor | 11 Aug 2022
    Once I figured out the right tools, it was easy. Its just "maturin new". It automatically converts python floats and strings. Numpy arrays come through as a special Pyarray type, that you need to unwrap, but that's just one builtin function. Using pyo3, maturin and numpy, https://github.com/PyO3/rust-numpy it's fairly easy.
  • Man, I love this language.
    9 projects | /r/rust | 18 Feb 2022
    If I'm understanding this documentation correctly then you may be able to pass the numpy array directly with func(df['col'].to_numpy) which may save some conversion.
  • [D] Is Rust stable/mature enough to be used for production ML? Is making Rust-based python wrappers a good choice for performance heavy uses and internal ML dependencies in 2021?
    8 projects | /r/MachineLearning | 30 Dec 2021
    Otherwise, though, Rust is an excellent choice. The many advantages of Rust (great package manager, memory safety, modern language features, ...) are already well documented so I won't repeat them here. Specifically for writing Python libraries, check out PyO3, maturin, and rust-numpy, which allow for seamless integration with the Python scientific computing ecosystem. Dockerizing/packaging is a non-issue, with the aforementioned libraries you can easily publish Rust libraries as pip packages or compile them from source as part of your docker build. We have several successful production deployments of Rust code at OpenAI, and I have personally found it to be a joy to work with.
  • Writing Rust libraries for the Python scientific computing ecosystem
    12 projects | /r/rust | 19 Dec 2021
    Integration with numpy uses the rust-numpy crate: Example of method that accepts numpy arrays as arguments Example of a method that returns a numpy array to Python (this performs a copy, there ought to be a way to avoid it but the current implementation has been plenty fast for my use case so far)
  • Feasibility of Using a Python Image Super Resolution Library in My Rust App
    3 projects | /r/rust | 19 Apr 2021
    This example maybe helpful.
  • Julia is the better language for extending Python
    13 projects | news.ycombinator.com | 19 Apr 2021
    Given that it's via pyO3, you could even pass the numpy arrays using https://github.com/PyO3/rust-numpy and get ndarrays at the other side.

    Same no copy, slightly more user friendly approach.

    Further criticism of the actual approach - even if we didn't do zero copy, there's no preallocation for the vector despite the size being known upfront, and nested vectors are very slow by default.

    So you could speed up the entire thing by passing it to ndarray, and then running a single call to sum over the 2D array you'd find at the other end. (https://docs.rs/ndarray/0.15.1/ndarray/struct.ArrayBase.html...)

  • Parsing PDF Documents in Rust
    1 project | /r/rust | 31 Jan 2021
    I believe converting between pandas Series (e.g. columns) and numpy ndarrays can be pretty cheap, right? Once they're in that format, you can use rust to work directly on the numpy memory buffer with rust-numpy. Otherwise, feather is a format designed for IPC of columnar data; pyarrow is in pandas (might be an optional dependency) and may be pretty quick for that, and rust has an arrow implementation too.
  • PyO3: Rust Bindings for the Python Interpreter
    18 projects | news.ycombinator.com | 29 Jan 2021
    https://github.com/PyO3/rust-numpy

wasmtime

Posts with mentions or reviews of wasmtime. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-29.
  • Backdoor in upstream xz/liblzma leading to SSH server compromise
    49 projects | news.ycombinator.com | 29 Mar 2024
    Just a documentation change, fortunately:

    https://github.com/bytecodealliance/wasmtime/commits?author=...

    They've submitted little documentation tweaks to other projects, too, for example:

    https://learn.microsoft.com/en-us/cpp/overview/whats-new-cpp...

    I don't know whether this is a formerly-legitimate open source contributor who went rogue, or a deep-cover persona spreading innocuous-looking documentation changes around to other projects as a smokescreen.

  • Unlocking the Power of WebAssembly
    3 projects | dev.to | 10 Mar 2024
    WebAssembly is extremely portable. WebAssembly runs on: all major web browsers, V8 runtimes like Node.js, and independent Wasm runtimes like Wasmtime, Lucet, and Wasmer.
  • Howto: WASM runtimes in Docker / Colima
    5 projects | dev.to | 12 Jan 2024
    cpu: 4 disk: 60 memory: 12 arch: host hostname: colima autoActivate: true forwardAgent: false # I only tested this with 'docker', not 'containerd': runtime: docker kubernetes: enabled: false version: v1.24.3+k3s1 k3sArgs: [] network: address: true dns: [] dnsHosts: host.docker.internal: host.lima.internal # Added: # - containerd-snapshotter: true (meaning containerd will be used for pulling images) docker: features: buildkit: true containerd-snapshotter: true vmType: vz rosetta: true mountType: virtiofs mountInotify: false cpuType: host # This provisioning script installs build dependencies, WasmEdge and builds the WASM runtime shims for containerd. # NOTE: this takes a LOOONG time! provision: - mode: system script: | [ -f /etc/docker/daemon.json ] && echo "Already provisioned!" && exit 0 echo "Installing system updates:" apt-get update -y apt-get upgrade -y echo "Installing WasmEdge and runwasi build dependencies:" # NOTE: packages curl, git and python3 already installed: apt-get install -y make gcc build-essential pkgconf libtool libsystemd-dev libprotobuf-c-dev libcap-dev libseccomp-dev libyajl-dev libgcrypt20-dev go-md2man autoconf automake criu pkg-config libdbus-glib-1-dev libelf-dev libclang-dev libzstd-dev protobuf-compiler apt-get clean -y - mode: user script: | [ -f /etc/docker/daemon.json ] && echo "Already provisioned!" && exit 0 # # Setting vars for this script: # # Which WASM runtimes to install (wasmedge, wasmtime and wasmer are supported): WASM_RUNTIMES="wasmedge wasmtime wasmer" # # Location of the containerd config file: CONTAINERD_CONFIG="/etc/containerd/config.toml" # # Target location for the WASM runtimes and containerd shims ($TARGET/bin and $TARGET/lib): TARGET="/usr/local" # # Install rustup: # echo "Installing rustup for building runwasi:" curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- --default-toolchain none -y source "$HOME/.cargo/env" # # Install selected WASM runtimes and containerd shims: # [[ -z "${WASM_RUNTIMES// /}" ]] && echo "No WASM runtimes selected - exiting!" && exit 0 git clone https://github.com/containerd/runwasi echo "Installing WASM runtimes and building containerd shims: ${WASM_RUNTIMES}:" sudo mkdir -p /etc/containerd/ containerd config default | sudo tee $CONTAINERD_CONFIG >/dev/null for runtimeName in $WASM_RUNTIMES; do case $runtimeName in wasmedge) echo "Installing WasmEdge:" curl -sSfL https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | sudo bash -s -- -p $TARGET echo echo "`wasmedge -v` installed!" ;; wasmtime) echo "Installing wasmtime:" curl -sSfL https://wasmtime.dev/install.sh | bash sudo cp .wasmtime/bin/* ${TARGET}/bin/ rm -rf .wasmtime echo "`wasmtime -V` installed!" ;; wasmer) echo "Installing wasmer:" curl -sSfL https://get.wasmer.io | sh sudo cp .wasmer/bin/* ${TARGET}/bin/ sudo cp .wasmer/lib/* ${TARGET}/lib/ rm -rf .wasmer echo "`wasmer -V` installed!" ;; *) echo "ERROR: WASM runtime $runtimeName is not supported!" exit 1 ;; esac cd runwasi echo "Building containerd-shim-${runtimeName}:" cargo build -p containerd-shim-${runtimeName} --release echo "Installing containerd-shim-${runtimeName}-v1:" sudo install ./target/release/containerd-shim-${runtimeName}-v1 ${TARGET}/bin sudo ln -sf ${TARGET}/bin/containerd-shim-${runtimeName}-v1 ${TARGET}/bin/containerd-shim-${runtimeName}d-v1 sudo ln -sf ${TARGET}/bin/containerd-shim-${runtimeName}-v1 ${TARGET}/bin/containerd-${runtimeName}d echo "containerd-shim-${runtimeName} installed." cd .. echo "[plugins.\"io.containerd.grpc.v1.cri\".containerd.runtimes.${runtimeName}]" | sudo tee -a $CONTAINERD_CONFIG >/dev/null echo " runtime_type = \"io.containerd.${runtimeName}.v1\"" | sudo tee -a $CONTAINERD_CONFIG >/dev/null done echo "containerd WASM runtimes and shims installed." # # Restart the systemctl services to pick up the installed shims. # NOTE: We need to 'stop' docker because at this point the actual daemon.json config is not yet provisioned: # echo "Restarting/reloading docker/containerd services:" sudo systemctl daemon-reload sudo systemctl restart containerd sudo systemctl stop docker sshConfig: true mounts: [] env: {}
  • MotorOS: a Rust-first operating system for x64 VMs
    7 projects | news.ycombinator.com | 7 Jan 2024
    When you say wasm container, you mean something like wasmtime that provides a non-browser wasm runtime?

    https://github.com/bytecodealliance/wasmtime

  • Lightweight Containers With Docker and WebAssembly
    1 project | dev.to | 18 Dec 2023
    We can't run this directly from the command line unless we install some runtime like wasmtime:
  • Prettier $20k Bounty was Claimed
    16 projects | news.ycombinator.com | 27 Nov 2023
    The roadmap I linked above. The WASI folks have done a poor job at communicating, no doubt, but I'm surprised someone like yourself literally building a competitor spec isn't following what they are doing closely.

    Just for you I did some googling: see here[0] for the current status of WASI threads overall, or here[1] and here[2] for what they are up to with WASI in general. In this PR[3] you can see they enabled threads (atomic instructions and shared memory, not thread creation) by default in wasmtime. And in this[4] repository you can see they are actively developing the thread creation API and have it as their #1 priority.

    If folks want to use WASIX as a quick and dirty hack to compile existing programs, then by all means, have at it! I can see that being a technical win. Just know that your WASIX program isn't going to run natively in wasmtime (arguably the best WASM runtime today), nor will it run in browsers, because they're not going to expose WASIX - they're going to go with the standards instead. so far you're the only person I've met that thinks exposing POSIX fork() to WASM is a good idea, seemingly because it just lets you build existing apps 'without modification'.

    Comical you accuse me of being polarizing, while pushing for your world with two competing WASI standards, two competing thread creation APIs, and a split WASM ecosystem overall.

    [0] https://github.com/bytecodealliance/jco/issues/247#issuecomm...

    [1] https://bytecodealliance.org/articles/wasmtime-and-cranelift...

    [2] https://bytecodealliance.org/articles/webassembly-the-update...

    [3] https://github.com/bytecodealliance/wasmtime/pull/7285

    [4] https://github.com/WebAssembly/shared-everything-threads

  • Spin 2.0 – open-source tool for building and running WASM apps
    13 projects | news.ycombinator.com | 4 Nov 2023
    Thanks for the question!

    Spin could definitely run in more places than what we have pre-built binaries for. Specifically, we could run on all platforms Wasmtime supports today (https://github.com/bytecodealliance/wasmtime/releases/tag/v1...), including RISC and S390X, for example.

    And while we have been experimenting a bit with running Spin on RISC, we haven't really had the bandwidth or requirement to build a production build for those yet.

    Are you interested in a specific operating system or CPU architecture? Would love to understand your scenario.

  • Dave Cutler: The Secret History of Microsoft Windows [video]
    2 projects | news.ycombinator.com | 22 Oct 2023
    > I used to think we'd eventually get to capability based security, but now I see we'll always be stuck with application permission flags, the almost worthless bastard cousin, instead.

    My hope is that WASI will introduce capability based security to the mainstream on non-mobile computers [0] - it might just take some time for them to get it right. (And hopefully no half-baked status-quo-reinforcing regressive single—runtime-backed alternatives win in the meantime.)

    [0]: https://github.com/bytecodealliance/wasmtime/blob/main/docs/...

  • Requiem for a Stringref
    4 projects | news.ycombinator.com | 19 Oct 2023
    WasmTime finished finished the RFC for the implementation details in June: https://github.com/bytecodealliance/wasmtime/issues/5032
  • Should You Be Scared of Unix Signals?
    8 projects | news.ycombinator.com | 16 Oct 2023
    [3]: https://github.com/bytecodealliance/wasmtime/pull/2611

What are some alternatives?

When comparing rust-numpy and wasmtime you can also consider the following projects:

RustPython - A Python Interpreter written in Rust

wasmer - 🚀 The leading Wasm Runtime supporting WASIX, WASI and Emscripten

julia - The Julia Programming Language

SSVM - WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.

polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust

quickjs-emscripten - Safely execute untrusted Javascript in your Javascript, and execute synchronous code that uses async functions

rayon - Rayon: A data parallelism library for Rust

wasm3 - 🚀 A fast WebAssembly interpreter and the most universal WASM runtime

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

wasm-bindgen - Facilitating high-level interactions between Wasm modules and JavaScript

PyO3 - Rust bindings for the Python interpreter

wasm-pack - 📦✨ your favorite rust -> wasm workflow tool!