Samuel Colvin

No code yet, if you'd like to work on this, feel free.

Actually I'm on a flight today, so might have some time to work on this.

Progress update, I've got min & max stats pruning "working" in our code, however I immediately ran into #10536, I'll let you know how I get on.

Nothing like being put on the spot for a side note in completely different discussion :-). As it happens I have some results from a similar comparison. It's between Python's...

I've [added](https://gist.github.com/samuelcolvin/11101522) some results for a JSON file with no strings. Sure enough there's significant speed up and relative speed up: ``` Parsing: Julia: 3.8 x faster Python: 1.9 x...

As a slightly different approach I started an alterative JSON library based on [ultra JSON](https://github.com/esnme/ujson4c/), it's at [uJSON.jl](https://github.com/samuelcolvin/uJSON.jl). Currently it's just parsing not printing but it's significantly (6x) faster with...

I can do, I ended up unsure that the performance improvements were significant enough to make it worthwhile. I was also intending to add `print` functionality as well as `parse`...

Just came back to this and I'm please to see how much JSON.jl's performance has improved, however it's still slower than ujson. What would be the best approach to equalling...

Haven't looked at this for some time, but it appears the test data is generated by `json_performance.py`, you just need to run that before `json_performance.jl`

fixed.