nativejson-benchmark
wasmtime
nativejson-benchmark | wasmtime | |
---|---|---|
10 | 172 | |
1,926 | 14,510 | |
- | 1.7% | |
0.0 | 10.0 | |
over 1 year ago | 2 days ago | |
JavaScript | Rust | |
MIT License | Apache License 2.0 |
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.
nativejson-benchmark
-
Training great LLMs from ground zero in the wilderness as a startup
Well it would depend on the specifics of the JSON file but eyeballing the stats at https://github.com/miloyip/nativejson-benchmark/tree/master seems to indicate that even on a 2015 MacBook the parsing proceeds using e.g. Configuru parser at several megabytes per second.
- What C++ library do you wish existed but hasn’t been created yet?
-
How can I quickly parse a huge 45MB JSON file using JsonDecoder
Maybe you need to try some other third party json library and see if it helps. This is a good list https://github.com/miloyip/nativejson-benchmark
-
Why is Mastodon so slow?
Glancing at some benchmarks, RapidJSON stringifies at around 250MB/s on a single core (content-dependent, of course). Does not look like a bottleneck.
-
Show HN: DAW JSON Link
How does it compare to the immensely popular JSON for Modern C++ library by nlohmann? https://github.com/nlohmann/json
Also, you should add your library to the JSON benchmarks here: https://github.com/miloyip/nativejson-benchmark#parsing-time
-
Debunking Cloudflare’s recent performance tests
I like your ideas, but they seem difficult to enforce. It assumes good faith on all sides. One of the biggest complaints about AI/ML research results: It is frequently hard/impossible to replicate the results.
One idea: The edge competitors can create a public (SourceHut?) project that runs various daily tests against themselves. This would similar to JSON library benchmarks. [1] Then allow each competitors to continuously tweak there settings to accomplish the task in the shortest amount of time.
Also: It would be nice to see a cost analysis. For years, IBM's DB2 was insanely fast if you could afford to pay outrageous hardware, software license, and consulting costs. I'm not in the edge business, but I guess there are some operators where you can just pay a lot more and get better performance -- if you really need it.
[1] https://github.com/miloyip/nativejson-benchmark
-
How can I parse JSON with C?
There's some useful benchmarks here. I found it while looking for stats on json-c vs parson, which I've used a fair amount.
-
UniValue JSON Library for C++17 (and above)
If you looking for benchmarks to show in which cases your library is better than other 30 or so competitors, then see this repo https://github.com/miloyip/nativejson-benchmark
-
Rocket is a parsing framework for parsing using efficient parsing algorithms
JSON data files from this project: https://github.com/miloyip/nativejson-benchmark
-
How I cut GTA Online loading times by 70%
Such a shame, really. There is a ton fast json parsers there, like https://github.com/miloyip/nativejson-benchmark#parsing-time. And second issue is just hilarious: let's scan array millions of times, who needs hashmaps anyway?
wasmtime
-
Backdoor in upstream xz/liblzma leading to SSH server compromise
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
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
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
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
We can't run this directly from the command line unless we install some runtime like wasmtime:
-
Prettier $20k Bounty was Claimed
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
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]
> 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
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?
[3]: https://github.com/bytecodealliance/wasmtime/pull/2611
What are some alternatives?
json-c - https://github.com/json-c/json-c is the official code repository for json-c. See the wiki for release tarballs for download. API docs at http://json-c.github.io/json-c/
wasmer - 🚀 The leading Wasm Runtime supporting WASIX, WASI and Emscripten
Jansson - C library for encoding, decoding and manipulating JSON data
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.
EA Standard Template Library - EASTL stands for Electronic Arts Standard Template Library. It is an extensive and robust implementation that has an emphasis on high performance.
quickjs-emscripten - Safely execute untrusted Javascript in your Javascript, and execute synchronous code that uses async functions
univalue - An easy-to-use and competitively fast JSON parsing library for C++17, forked from Bitcoin Cash Node's own UniValue library.
wasm3 - 🚀 A fast WebAssembly interpreter and the most universal WASM runtime
text - What a c++ standard Unicode library might look like.
wasm-bindgen - Facilitating high-level interactions between Wasm modules and JavaScript
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
wasm-pack - 📦✨ your favorite rust -> wasm workflow tool!