nativejson-benchmark
spidermonkey-wasi-embedding
nativejson-benchmark | spidermonkey-wasi-embedding | |
---|---|---|
10 | 1 | |
1,926 | 7 | |
- | - | |
0.0 | 6.0 | |
over 1 year ago | 21 days ago | |
JavaScript | Shell | |
MIT License | Apache License 2.0 |
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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
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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?
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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
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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.
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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
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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
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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.
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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
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Rocket is a parsing framework for parsing using efficient parsing algorithms
JSON data files from this project: https://github.com/miloyip/nativejson-benchmark
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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?
spidermonkey-wasi-embedding
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Debunking Cloudflare’s recent performance tests
btw. for what it's worth their javascript to wasm is opensource:
- https://github.com/fastly/js-compute-runtime
- https://github.com/tschneidereit/spidermonkey-wasi-embedding
and besides that it is slower than nodejs it is still plenty fast (no matter that it is not as fast as they want) btw. it's startup is faster than node. (maybe better pgo might help)
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/
wasmtime - A fast and secure runtime for WebAssembly
Jansson - C library for encoding, decoding and manipulating JSON data
js-compute-runtime - JavaScript SDK and runtime for building Fastly Compute applications
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.
FrameworkBenchmarks - Source for the TechEmpower Framework Benchmarks project
univalue - An easy-to-use and competitively fast JSON parsing library for C++17, forked from Bitcoin Cash Node's own UniValue library.
text - What a c++ standard Unicode library might look like.
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
json - JSON for Modern C++
mysql - MySQL C++ client based on Boost.Asio
sqlpp11 - A type safe SQL template library for C++