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@@ -12,11 +12,11 @@
[![Language grade: C/C++](https://img.shields.io/lgtm/grade/cpp/g/biojppm/rapidyaml.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/biojppm/rapidyaml/context:cpp)
Or ryml, for short. ryml is a C++ library to parse and emit YAML, and
do it fast. (If you are looking to use your programs with a YAML tree
as a configuration tree with override facilities, there is
[c4conf](https://github.com/biojppm/c4conf), a sister project which
uses ryml).
Or ryml, for short. ryml is a C++ library to parse and emit YAML,
and do it fast, on everything from x64 to bare-metal chips without
operating system. (If you are looking to use your programs with a YAML tree
as a configuration tree with override facilities, take a look at
[c4conf](https://github.com/biojppm/c4conf)).
ryml parses both read-only and in-situ source buffers; the resulting
data nodes hold only views to sub-ranges of the source buffer. No
@@ -24,7 +24,7 @@ string copies or duplications are done, and no virtual functions are
used. The data tree is a flat index-based structure stored in a single
array. Serialization happens only at your direct request, after
parsing / before emitting. Internally, the data tree representation
stores only strings and has no knowledge of types, but of course,
stores only string views and has no knowledge of types, but of course,
every node can have a YAML type tag. ryml makes it easy and fast to
read and modify the data tree.
@@ -54,7 +54,7 @@ ryml is written in C++11, and compiles cleanly with:
ryml is [extensively unit-tested in Linux, Windows and
MacOS](https://github.com/biojppm/rapidyaml/actions). The tests cover
x64, x86, arm, wasm (emscripten), aarch64, ppc64le and s390x
x64, x86, wasm (emscripten), arm, aarch64, ppc64le and s390x
architectures, and include analysing ryml with:
* valgrind
* clang-tidy
@@ -1018,10 +1018,7 @@ Recently [libfyaml](https://github.com/pantoniou/libfyaml)
appeared. This is a newer C library, fully conformant to the YAML
standard as shown by 100% success in the test suite, which does offer
the tree as a data structure. As a downside, it does not work in
Windows, and it still generally parses slower than ryml by a factor
generally somewhere between 2x and 3x, and in some isolated cases even
higher than 100x. It must also be said that, in some isolated cases
libfyaml has comparable performance.
Windows, and it is also multiple times slower parsing and emitting.
When performance and low latency are important, using contiguous
structures for better cache behavior and to prevent the library from