NBTx VS ultrajson

Because for my upcoming Minecraft clone written in C (yes, yet another Minecraft clone) I needed a binary format just like Notch's NBT, but it's very Java-oriented… Big endian only, and lacks unsigned types. So I decided to make my own format fixing that, based on NBT, and called it NBTx because it sounds cool. It's like .doc when it became .docx. My library is a fork of the cNBT library on GitHub. It's beer-ware licensed so feel free to use it in your own projects! Or better yet, contribute to improve it because currently, it is just a largely-untested adaptation of cNBT (although it is not very complex, most likely it works just fine), and seems like it needs an API to make an nbt tree from scratch. Maybe someone can make C# bindings so it can be used in Unity and reach more devs? (I stopped using Unity some time ago.) The specification is in the NBTx.txt file in the repository. Let me know what you think!

ujson

For most cases, you would want to go with python’s standard json library which removes dependencies on other libraries. On other hand you could try out ujsonwhich is simple replacement for python’s json library. If you want more speed and also want dataclass, datetime, numpy, and UUID instances and you are ready to deal with more complex code, then you can try your hands on orjson

I asked about this on the Github issue regarding these benchmarks as well.

I'm curious as to why libraries like ultrajson[0] and orjson[1] weren't explored. They aren't command line tools, but neither is pandas right? Is it perhaps because the code required to implement the challenges is large enough that they are considered too inconvenient to use through the same way pandas was used (ie, `python -c "..."`)?

[0] https://github.com/ultrajson/ultrajson