template-benchmarks-rs VS rust_serialization_benchmark

Any recommendations for rust template engines? I'd like something that can easily render labeled fragments of a template instead of requiring me to split a page into a dozen little files. Kinda like inline {{block}} definitions in Go's html/template. Speed is also nice.

From template-benchmark-rs [0] I found sailfish [1] (fast, but no fragments(?)). render-rs [2] and syn-rsx [3] (2022) both let you write html in rust macros which is cool (maybe that can substitute for fragments?). Then there's gtmpl-rust [4] which is just Go templates reimplemented in rust.

[0]: https://github.com/rosetta-rs/template-benchmarks-rs

[1]: https://github.com/rust-sailfish/sailfish

[2]: https://github.com/render-rs/render.rs last updated Jul 2020

[3]: https://github.com/stoically/syn-rsx last updated Nov 2022

[4]: https://github.com/fiji-flo/gtmpl-rust

Personally, I'd recommend Maud if you don't need something with runtime reloading. Not only is it much faster, it implements a template language that is effectively the Rust-syntax equivalent to Slim or Haml using a procedural macro, so you get compile-time verification that your HTML output is well-formed.

I've been maintaining several benchmark repos based off of template-benchmarks-rs. I've noticed there are several other benchmark repos that are hard to know about.

I'm tempted to collect all of these benchmark repos into a github org to make them easier to find. So far I know of parser, md, argparse, and template languages.

Simple and straightforward. The only thing I'd change personally is using sailfish over markup. Seems to be the fastest templating engine?

As I said in my other post, runtime performance wasn't a concern for me except to catch anything egregious, like mini_markdown hanging. If people want to expand on this with different representative cases and criterion like template-benchmarks-rs, they are welcome to!

That's why I use Sailfish for server-side templating in my Rust web projects. It's ridiculously fast.

As for templating, here's a benchmark that can double as a list of candidates to choose from... though, again, Rust stuff tends to be fast, so don't assume that the slowest templating engine on a Rust-vs-Rust benchmark is going to be slow.

Yeah. You're much better off worrying about template rendering performance or database query optimization than the framework itself.

https://github.com/djkoloski/rust_serialization_benchmark

Apache/arrow-rs: https://github.com/apache/arrow-rs

From https://arrow.apache.org/faq/ :

> How does Arrow relate to Flatbuffers?

> Flatbuffers is a low-level building block for binary data serialization. It is not adapted to the representation of large, structured, homogenous data, and does not sit at the right abstraction layer for data analysis tasks.

> Arrow is a data layer aimed directly at the needs of data analysis, providing a comprehensive collection of data types required to analytics, built-in support for “null” values (representing missing data), and an expanding toolbox of I/O and computing facilities.

> The Arrow file format does use Flatbuffers under the hood to serialize schemas and other metadata needed to implement the Arrow binary IPC protocol, but the Arrow data format uses its own representation for optimal access and computation

Nice that comfy gets even easier. Also, if serde's compile time is an issue, then there's nanoserde which is usually much much faster according to benchmarks

A note on performance and size: Some benchmarks and statistics are included in the README. But only because people will be curious. I've based my methodology on rust_serialization_benchmark, but decided to not extend it (for now) since it seems to exclude any Rust types which are not widely supported by all formats being tested (like HashMap's and 128-bit numbers). The test suite is already quite nice if you want to take it for a spin.

While we haven't benchmarked either of those ourselves. You can checkout rust_serialization_benchmark which has protobuf under the name prost.

Update: Benchmark PR submitted: https://github.com/djkoloski/rust_serialization_benchmark/pull/37

Here is a speed and size benchmark of different rust binary serialization formats: https://github.com/djkoloski/rust_serialization_benchmark Warning: I think the creator of this benchmark is also the creator of rkyv, one of the best positioned formats in the benchmark.

So I assume you're deserializing them before processing the book? If so then if you want an easy speed-up you could also take a look at these benchmarks and pick a faster serialization crate. (: (Although you might or might not get a big speedup; depends on what exactly you're deserializing and how much you are deserializing.)

You can add the rust serialization benchmark to that list

Hey! Similar to bincode, it provides a very similar, compact binary format. The rkyv benchmark is the most comprehensive I'm aware of, but compared to bincode, postcard is generally a similar speed for serialization or deserialization (maybe a touch slower), but generally produces a slightly smaller "on the wire" size.

You should add your crate to these benchmarks. (Which are, AFAIK, the most comprehensive set of benchmarks currently available for Rust serialization libraries.)