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yalantinglibs

> 编程语言
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A collection of modern C++ libraries, include coro_http, coro_rpc, compile-time reflection, struct_pack, struct_json, struct_xml, struct_pb, easylog, async_simp

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A collection of modern C++ libraries, include coro_http, coro_rpc, compile-time reflection, struct_pack, struct_json, struct_xml, struct_pb, easylog, async_simp

yaLanTingLibs

A Collection of C++20 libraries, include struct_pack, struct_json, struct_xml, struct_yaml, struct_pb, easylog, coro_rpc, coro_http and async_simple

中文版

yaLanTingLibs is a collection of modern c++ util libraries, now it contains struct_pack, struct_json, struct_xml, struct_yaml, struct_pb, easylog, coro_rpc, coro_io, coro_http and async_simple, more and more cool libraries will be added into yaLanTingLibs in the future.

The target of yaLanTingLibs: provide very easy and high performance modern C++ libraries for developers, it can help to quickly build high performance applications.

OS (Compiler Version) Status
Ubuntu 22.04 (clang 14.0.0)
Ubuntu 22.04 (gcc 11.2.0)
macOS Monterey 12 (AppleClang 14.0.0.14000029)
Windows Server 2022 (MSVC 19.33.31630.0)

Quick Start

compiler requirements

If your compiler don't support C++20, yalantinglibs will only compile the serialization libraries (struct_pack, struct_json, struct_xml, struct_yaml, easylog support C++17). Make sure you have such compilers:

  • g++9 above;
  • clang++6 above
  • msvc 14.20 above;

Otherwise, yalantinglibs will compile all the libraries. Make sure you have such compilers:

  • g++10 above;
  • clang++13 above
  • msvc 14.29 above;

You can also use cmake option -DENABLE_CPP_20=ON or -DENABLE_CPP_20=OFF to control it.

Install & Compile

By Homebrew

  1. Install homebrew
  2. run brew install yalantinglibs
  3. If you use cmake, add those codes:
cmake
find_package(yalantinglibs CONFIG REQUIRED)
target_link_libraries(main PRIVATE yalantinglibs::yalantinglibs)

By Vcpkg

  1. Install vcpkg
  2. run ./vcpkg install yalantinglibs
  3. If you use cmake, add those codes:
cmake
find_package(yalantinglibs CONFIG REQUIRED)
target_link_libraries(main PRIVATE yalantinglibs::yalantinglibs)

Cmake FetchContent

You can also import ylt by cmake FetchContent

cmake
cmake_minimum_required(VERSION 3.15)
project(ylt_test)

include(FetchContent)

FetchContent_Declare(
    yalantinglibs
    GIT_REPOSITORY https://github.com/alibaba/yalantinglibs.git
    GIT_TAG main 
    GIT_SHALLOW 1 # optional ( --depth=1 )
)

FetchContent_MakeAvailable(yalantinglibs)
add_executable(main main.cpp)

target_link_libraries(main yalantinglibs::yalantinglibs)
target_compile_features(main PRIVATE cxx_std_20)

Cmake add_subdirectory

  1. download ylt source code and put it in your project
  2. add ylt to your project as subdirectory:
cmake
cmake_minimum_required(VERSION 3.15)
project(ylt_test)

add_subdirectory(yalantinglibs)  # you may modify the path as the real relative path in your project
add_executable(main main.cpp)

target_link_libraries(main yalantinglibs::yalantinglibs)
target_compile_features(main PRIVATE cxx_std_20)

Manually Install & Import

Yalantinglibs is a head-only library. You can just copy ./include/ylt directory into your project. But we suggest you use cmake to install it.

  1. clone repo
bash
git clone https://github.com/alibaba/yalantinglibs.git
cd yalantinglibs
mkdir build
cd build
  1. build & test
  • We suggest you compile the example and test the code first:
bash
cmake ..
cmake --build . --config debug # add -j, if you have enough memory to parallel compile
ctest . # run tests

You can see the test/example/benchmark executable file in `./build/output/`.

- Or you can just skip build example/test/benchmark:

```shell
# You can use those option to skip build unit-test & benchmark & example: 
cmake .. -DBUILD_EXAMPLES=OFF -DBUILD_BENCHMARK=OFF -DBUILD_UNIT_TESTS=OFF -DGENERATE_BENCHMARK_DATA=OFF
  1. install
bash
cmake --install . # --prefix ./user_defined_install_path 
  1. start develop
  • start by example:

After install ylt, copy then open the directory src/*/examples, then:

bash
mkdir build
cd build
cmake ..
cmake --build .
  • import ylt to your project(cmake):
cmake
find_package(yalantinglibs CONFIG REQUIRED)
target_link_libraries(main PRIVATE yalantinglibs::yalantinglibs)

…

cpp
// rpc_service.hpp
inline std::string_view echo(std::string_view str) { return str; }

2.register rpc function and start a server

cpp
#include "rpc_service.hpp"
#include <ylt/coro_rpc/coro_rpc_server.hpp>

int main() {
  coro_rpc_server server(/*thread_num =*/10, /*port =*/9000);
  server.register_handler<echo>(); // register function echo
  server.start(); // start the server & block
}

3.rpc client call rpc service

cpp
#include "rpc_service.hpp"
#include <ylt/coro_rpc/coro_rpc_client.hpp>

Lazy<void> test_client() {
  coro_rpc_client client;
  co_await client.connect("localhost", /*port =*/"9000"); // connect to the server

  auto r = co_await client.call<echo>("hello coro_rpc"); // call remote function echo
  std::cout << r.result.value() << "\n"; //will print "hello coro_rpc"
}

int main() {
  syncAwait(test_client());
}

More examples here.

struct_pack

Based on compile-time reflection, very easy to use, high performance serialization library, struct_pack is a header only library, it is used by coro_rpc now.

Only one line code to finish serialization and deserialization, 2-20x faster than protobuf.

quick example

cpp
struct person {
  int64_t id;
  std::string name;
  int age;
  double salary;
};

person person1{.id = 1, .name = "hello struct pack", .age = 20, .salary = 1024.42};

// one line code serialize
std::vector<char> buffer = struct_pack::serialize(person1);

// one line code deserialization
auto person2 = deserialize<person>(buffer);

…

cpp
#include "ylt/struct_json/json_reader.h"
#include "ylt/struct_json/json_writer.h"

struct person {
  std::string name;
  int age;
};

// static reflection works in C++20. In C++17 we need add macro manually
// YLT_REFL(person, name, age);

int main() {
  person p{.name = "tom", .age = 20};
  std::string str;
  struct_json::to_json(p, str); // {"name":"tom","age":20}

  person p1;
  struct_json::from_json(p1, str);
}

struct_xml

reflection-based xml lib, very easy to do struct to xml and xml to struct.

quick example

cpp
#include "ylt/struct_xml/xml_reader.h"
#include "ylt/struct_xml/xml_writer.h"

struct person {
  std::string name;
  int age;
};

// static reflection works in C++20. In C++17 we need add macro manually
// YLT_REFL(person, name, age);

void basic_usage() {
  std::string xml = R"(
<person>
    <name>tom</name>
    <age>20</age>
</person>
)";

  person p;
  bool r = struct_xml::from_xml(p, xml.data());
  assert(r);
  assert(p.name == "tom" && p.age == 20);

  std::string str;
  r = struct_xml::to_xml_pretty(p, str);
  assert(r);
  std::cout << str;
}

struct_yaml

reflection-based yaml lib, very easy to do struct to yaml and yaml to struct.

quick example

cpp
#include "ylt/struct_yaml/yaml_reader.h"
#include "ylt/struct_yaml/yaml_writer.h"

struct person {
  std::string name;
  int age;
};

// static reflection works in C++20. In C++17 we need add macro manually
// YLT_REFL(person, name, age);

void basic_usage() {
    // serialization the structure to the string
    person p = {"admin", 20};
    std::string ss;
    struct_yaml::to_yaml(ss, p);
    std::cout << ss << std::endl;
    
    std::string yaml = R"(
    name : tom
    age : 30
    )";
    
    // deserialization the structure from the string
    struct_yaml::from_yaml(p, yaml);
}

coro_http

coro_http is a C++20 coroutine http(https) library, include server and client, functions: get/post, websocket, multipart file upload, chunked and ranges download etc. more examples

get/post

cpp
#include "ylt/coro_http/coro_http_server.hpp"
#include "ylt/coro_http/coro_http_client.hpp"
using namespace coro_http;

async_simple::coro::Lazy<void> basic_usage() {
  coro_http_server server(1, 9001);
  server.set_http_handler<GET>(
      "/get", [](coro_http_request &req, coro_http_response &resp) {
        resp.set_status_and_content(status_type::ok, "ok");
      });

  server.set_http_handler<GET>(
      "/coro",
      [](coro_http_request &req,
         coro_http_response &resp) -> async_simple::coro::Lazy<void> {
        resp.set_status_and_content(status_type::ok, "ok");
        co_return;
      });
  server.aync_start(); // aync_start() don't block, sync_start() will block.
  std::this_thread::sleep_for(300ms);  // wait for server start

  coro_http_client client{};
  auto result = co_await client.async_get("http://127.0.0.1:9001/get");
  assert(result.status == 200);
  assert(result.resp_body == "ok");
  for (auto [key, val] : result.resp_headers) {
    std::cout << key << ": " << val << "\n";
  }
}

async_simple::coro::Lazy<void> get_post(coro_http_client &client) {
  std::string uri = "http://www.example.com";
  auto result = co_await client.async_get(uri);
  std::cout << result.status << "\n";
  
  result = co_await client.async_post(uri, "hello", req_content_type::string);
  std::cout << result.status << "\n";
}

int main() {
  coro_http_client client{};
  async_simple::coro::syncAwait(get_post(client));
}

websocket

cpp
async_simple::coro::Lazy<void> websocket(coro_http_client &client) {
  // connect to your websocket server.
  bool r = co_await client.async_connect("ws://example.com/ws");
  if (!r) {
    co_return;
  }

  co_await client.write_websocket("hello websocket");
  auto data = co_await client.read_websocket();
  CHECK(data.resp_body == "hello websocket");
  co_await client.write_websocket("test again");
  data = co_await client.read_websocket();
  CHECK(data.resp_body == "test again");
  co_await client.write_websocket("ws close");
  data = co_await client.read_websocket();
  CHECK(data.net_err == asio::error::eof);
  CHECK(data.resp_body == "ws close");
}

upload/download

cpp
async_simple::coro::Lazy<void> upload_files(coro_http_client &client) {
  std::string uri = "http://example.com";
  
  client.add_str_part("hello", "world");
  client.add_str_part("key", "value");
  client.add_file_part("test", "test.jpg");
  auto result = co_await client.async_upload(uri);
  std::cout << result.status << "\n";
  
  result = co_await client.async_upload(uri, "test", "test.jpg");
}

async_simple::coro::Lazy<void> download_files(coro_http_client &client) {
  // chunked download
  auto result = co_await client.async_download("http://example.com/test.jpg",
                                               "myfile.jpg");
  std::cout << result.status << "\n";
  
  // ranges download
  result = co_await client.async_download("http://example.com/test.txt",
                                               "myfile.txt", "1-10,11-16");
  std::cout << result.status << "\n";
}

…

bash
./benchmark_client # [threads = hardware counts] [client_pre_thread = 20] [pipeline_size = 1] [host = 127.0.0.1] [port = 9000] [test_data_path = ./test_data/echo_test] [test_seconds = 30] [warm_up_seconds = 5]

cross language support

how to use coro_http with python

See yalantinglibs/src/coro_http/examples/py_example

build and run py_example

  • Set option ENABLE_pybind11(in yalantinglibs/src/coro_http/examples/CMakeLists.txt) ON and then build py_example.

  • go to yalantinglibs/src/coro_http/examples/py_example

  • python3 test.py

how to use coro_rpc with golang

See `yalantinglibs/

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> Details

PublishedAug 1, 2026
UpdatedSep 17, 2026
Category编程语言
PricingOpen source

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