zpp_bits VS FlatBuffers

I would either look at https://github.com/eyalz800/zpp_bits or https://github.com/stephenberry/glaze. FYI, glaze both supports json and binary.

For something bigger or more complicated I'd recommend something like google's protobuf library or https://github.com/eyalz800/zpp_bits if you're able to use external dependencies.

Can you give us some hint on what would be different in your project from the libraries that do roughly the same? The tser author has made a comment here, but I know that cista and zpp_bits probably have some overlap with alpaca. I just don't have a specific use case now, so I don't have an urge to dive deep into the topic, but in the past I've needed a library like yours, and right now I would have to evaluate half a dozen libraries to know would be "best" or more appropriate.

It might be interesting for you to compare with https://github.com/eyalz800/zpp_bits

How about this https://github.com/eyalz800/zpp_bits

Since C++20 I felt I could improve my previous serialization library, and to avoid the complexity of supporting multiple C++ standard I decided to create a new one zpp_bits

I don't work at Cloudflare but follow their work and occasionally work on performance sensitive projects.

If I had to guess, they looked at the landscape a bit like I do and regarded Cap'n Proto, flatbuffers, SBE, etc. as being in one category apart from other data formats like Avro, protobuf, and the like.

So once you're committed to record'ish shaped (rather than columnar like Parquet) data that has an upfront parse time of zero (nominally, there could be marshalling if you transmogrify the field values on read), the list gets pretty short.

https://capnproto.org/news/2014-06-17-capnproto-flatbuffers-... goes into some of the trade-offs here.

Cap'n Proto was originally made for https://sandstorm.io/. That work (which Kenton has presumably done at Cloudflare since he's been employed there) eventually turned into Cloudflare workers.

Another consideration: https://github.com/google/flatbuffers/issues/2#issuecomment-...

Much more in the discussion of this particular issue onGitHub: flatbuffers:Reverse engineering #4258

Related but not Rust-specific: FlatBuffers, Cap'n Proto.

If json files are a concern because of space, you can always look into something like protobuffers or flatbuffers. But whatever you use, you should try to find a solution where you don't have to think about the actual serialization/deserialization of your objects, and can just concentrate on the data.

Or, as an alternative to protobuffers, there's also flatbuffers, which is lighter weight and needs less memory: https://google.github.io/flatbuffers/

As the title suggests, I am considering using Flatbuffers as a way to parse sensor data that has been stored in local datafiles. The project language is python.