ultrajson VS ojg

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

I found Jq to be difficult to use which is why Oj, https://github.com/ohler55/ojg is based on JSONPath. There still are a lot of options but it only takes a couple of help screens to figure out what the options are.

You might want to take a look at https://github.com/ohler55/ojg. It takes a different approach with a single pass parser. There are some performance benchmarks included on the README.md landing page.

I like the "Simple Encoding Notation" (SEN) of the underlying library: https://github.com/ohler55/ojg/blob/develop/sen.md

Another alternative is the oj app (ojg/cmd/oj) which is part of https://github.com/ohler55/ojg. It relies on JSONPath for extraction and manipulation of JSON.

I promise to add more examples but in the mean time there are the test files. The one for Unmarshal is https://github.com/ohler55/ojg/blob/develop/oj/unmashall_test.go