benchmarks
glaze
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benchmarks | glaze | |
---|---|---|
40 | 18 | |
2,738 | 882 | |
- | - | |
7.2 | 9.9 | |
3 months ago | 7 days ago | |
Makefile | C++ | |
MIT License | MIT License |
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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.
benchmarks
- Some Benchmarks of Different Languages
- Building a high performance JSON parser
- Top 5 Fastest Programming Languages
- Twitter (re)Releases Recommendation Algorithm on GitHub
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How green or energy efficient is the Go programming language?
GitHub - kostya/benchmarks: Some benchmarks of different languages
- how to benchmark a programming language
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Ruby 3.2.0 Is from Another Dimension
In all the language comparisons I've found over the years, Python consistently comes out slightly slower, for example:
https://github.com/kostya/benchmarks
Bearing in mind these are probably not even using YJIT, which makes Ruby considerably faster in some scenarios.
- I made a 88x88 version of the big display image command generator in Python! (will share github link if admins allow it)
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The original computer languages benchmark is back
Also, here is another benchmark: https://github.com/kostya/benchmarks
- Why does Scala seem to be slow at benchmark results?
glaze
- [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?
libuv - Cross-platform asynchronous I/O
json - A C++11 library for parsing and serializing JSON to and from a DOM container in memory.
lua-languages - Languages that compile to Lua
dyno - Runtime polymorphism done right
julia - The Julia Programming Language
AdverseCleaner - Remove adversarial noise from images
mypyc - Compile type annotated Python to fast C extensions
polytail - Rust-like trait-based polymorphism for C++
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
te - C++17 Run-time polymorphism (type erasure) library
Cython - The most widely used Python to C compiler
lfjson - A memory-optimized and data-oriented JSON library written in C++