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Wow, I was just looking how to benchmark a streaming JSON parser that I'm working on! I'm creating it specifically for performance-intensive situations with JSON strings sizes up to gigabytes, and I thought that I had to implement about half of the features you mention there, like parametrisation and automatic GC after every test.

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When you say streaming JSON parser, do you mean that it outputs a live “observable” object as it is steaming, or that it just doesn’t keep the entire source data in memory? I’ve done some work for the former for displaying rich LLM outputs as they are delivered - it’s a surprisingly underexplored area from what I’ve seen.

It means that prior to parsing JSON, parser is given exact path (or paths, or wildcards) it must retrieve, and then it will scan the string in one forward path with minimum possible allocations. It's for cases where you, for some reason, have to process enormous amount of serialised objects as strings, and need to get just a few small things out of them occasionally, and do it in JS.

As it processes input in batches, you can also use it in cases where you don't even need to load the whole input data in memory, if you chose so.

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