binary_performance
Performance profiling of binary libraries (by stephenberry)
glaze
Extremely fast, in memory, JSON and interface library for modern C++ (by stephenberry)
| binary_performance | glaze | |
|---|---|---|
| 1 | 18 | |
| 0 | 949 | |
| - | - | |
| 6.3 | 9.9 | |
| 9 months ago | 3 days ago | |
| C++ | C++ | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
binary_performance
Posts with mentions or reviews of binary_performance.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-20.
-
Efficient Versatile Encoding (EVE) - A new, extremely fast binary data format
I've developed a new binary data specification like CBOR, MessagePack, and BSON, but designed to be much faster for modern hardware, support scientific computing, have smaller sizes for arrays, and be simple to implement. BEVE is around 5000% faster than MessagePack when writing std::vector and over 8000% faster with std::vector. When reading, BEVE is around 1300% faster and 2800% faster respectively. There is a link to the test code on the repository, or it can be found here.
glaze
Posts with mentions or reviews of glaze.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-05.
- [C++20] to_tuple with compile-time names
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More helpful reflection in Glaze for GCC and Clang (MSVC please take note)
Previously in the Glaze library, you would need to write out your key names along with the member object pointers. However, as of version 1.8.0, these key names are now optional. If the keys are not provided the member variable name will be reflected for serialization/deserialization. I'm even more excited about this reflection than the previously announced pure Clang reflection, because it works well with user customization and supports non-aggregate, non-default constructible, and non-constexpr types.
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Efficient Versatile Encoding (EVE) - A new, extremely fast binary data format
BEVE fully supports JSON messages. The Glaze C++ JSON library allows users to use the same API to encode/decode to either JSON or EVE binary. Glaze also encodes/decodes directly into your C++ structures and standard library containers, making it easy to use without additional copies.
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How to arrange a bunch of variables into one array of bytes in memory?
I would either look at https://github.com/eyalz800/zpp_bits or https://github.com/stephenberry/glaze. FYI, glaze both supports json and binary.
- [Cpp] Nouvelle bibliothèque JSON la plus rapide pour C ++ 20
- DynaMix 2.0.0 Released
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Full source code of Glaze is leaked. I'm curious if someone with knowledge is able to reverse engineer this techinque for enhanced model training with minial style interference.
Glaze is a software that uses artificial intelligence to create realistic images from text descriptions. It is based on Stable Diffusion, an open source framework for image synthesis using diffusion models. Glaze claims to offer enhanced model training with minimal style interference by using a technique called ControlNet1.
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enum_name (yet another enum to/from string conversion utility >=C++11)
I ended up adopting this approach in some test code https://godbolt.org/z/GKW8Preva when I was thinking about adding automatic enum serialization/deserialization to stephenberry/glaze. But there are too many limitations.
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Help Needed Regarding "conversion of endianness" while binary-serializing files
Alternatively, use a preexisting library for binary serialization and deserialization. If you’re trying to serialize your own stuff, glaze is a good option since it supports both json and binary serialization/deserialization. https://github.com/stephenberry/glaze
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Glaze JSON library version 1.0 release
This parse file has some of the chunk simd processing: https://github.com/stephenberry/glaze/blob/main/include/glaze/util/parse.hpp
What are some alternatives?
When comparing binary_performance and glaze you can also consider the following projects:
beve - High performance, tagged binary data specification
json - A C++11 library for parsing and serializing JSON to and from a DOM container in memory.
AdverseCleaner - Remove adversarial noise from images
polytail - Rust-like trait-based polymorphism for C++
benchmarks - Some benchmarks of different languages
dyno - Runtime polymorphism done right
te - C++17 Run-time polymorphism (type erasure) library
mk_parse_int - String to int (in C89).
lfjson - A memory-optimized and data-oriented JSON library written in C++
zpp_bits - A lightweight C++20 serialization and RPC library
proxy - Proxy: Next Generation Polymorphism in C++
Jsonifier - A few classes for parsing and serializing objects from/into JSON, in C++ - very rapidly.