nanobench
Simple, fast, accurate single-header microbenchmarking functionality for C++11/14/17/20 (by martinus)
cmake-init
The missing CMake project initializer (by friendlyanon)
Our great sponsors
| nanobench | cmake-init | |
|---|---|---|
| 13 | 164 | |
| 1,301 | 1,812 | |
| - | - | |
| 5.0 | 8.1 | |
| 8 months ago | 2 days ago | |
| C++ | CMake | |
| MIT License | GNU General Public License v3.0 only |
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.
nanobench
Posts with mentions or reviews of nanobench.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-27.
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The issue of unit tests and performance measurements (Benchmark)
An alternative is tracking the number of instructions a test executes: https://github.com/martinus/nanobench
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how do you properly benchmark?
Nano bench is a great library with low overhead. https://github.com/martinus/nanobench
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Much Faster than std::string, fmt::format, std::to_chars, std::time and more?
I've done a relatively simple test of taking random doubles (between 0 and 1), converting them to a C string via std::to_chars and then converting that C string back to a double via std::from_chars vs his xeerx::chars_to and got the following results on my machine via nanobench:
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Can you give an example of well-designed C++ code, and explain why you think it is so?
I like https://nanobench.ankerl.com/
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Best accurate way to measure/compare elapsed time in C++
Of course, the best way to benchmark is nanobench: https://nanobench.ankerl.com/
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The 23 year-old C++ developers with three job offers over $500k
I've created robin-hood-hashing and nanobench, and recently made some contributions to Bitcoin and doxygen
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I don’t know which container to use (and at this point I’m too afraid to ask)
Right. Regex runtime construction is known to be slow, so ideally the state machinery construction is built at compile time (boost.xpressive, ctre). Also, boost.regex is faster than most of the std implementations if compile time isn’t possible. And if that’s no good rewrite without regex. Since it sounds like it’s all encapsulated at least it would be easy to measure the options. These days I use this one to compare https://nanobench.ankerl.com/
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I'm writing a microbenchmarking library called "precision" without any macros. What do you guys think of the API?
You can check the API of nanobench which also doesn't use macros, as far as I have used it.
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C++20 std::format is 2x slower than std::fstream?
I've tried again with your latest changes and decided to use https://github.com/martinus/nanobench for a better benchmark and got the following output:
- Nanobench: Fast, Accurate, Single-Header Microbenchmarking Functionality For C++
cmake-init
Posts with mentions or reviews of cmake-init.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-06.
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CMake install schema for single- and multi-config generators
https://github.com/friendlyanon/cmake-init This is how you do CMake properly. If you deviate from its install rules you are highly likely to do something wrong.
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cgen: another declarative CMake configuration generator
CMake itself is as declarative as a build systems need to be. For anything nontrivial, these "declarative" solutions all fall apart. Just use https://github.com/friendlyanon/cmake-init, learn CMake and you won't have any issues.
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How does one actually build a C++ project
If you want something with a (mostly) Just Works experience then just use https://github.com/friendlyanon/cmake-init
- CMakeList.txt, add_executable vs. add_library vs. target_link_libraries vs. target_link_directories
- Check out my tasks.json for C++ of VScode
- Clang++ Halp
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Putting libraries in program folder
For CMake basics check out the official "Getting started" tutorial: https://cmake.org/cmake/help/latest/guide/tutorial/index.html, as well as Introduction to Modern CMake. You can also get inspired by the CMake project generator cmake-init
- Recourses to help understand libraries/projects and setting them up?
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How to Create a Modern C Project with CMake and Conan
You can just use https://github.com/friendlyanon/cmake-init to get a CMake + Conan C project ready to go with a short little command: cmake-init --c -e -p conan coolio
- CMake template
What are some alternatives?
When comparing nanobench and cmake-init you can also consider the following projects:
benchmark - A microbenchmark support library
meson - The Meson Build System
fast_io - C++20 Concepts IO library which is 10x faster than stdio and iostream
w64devkit - Portable C and C++ Development Kit for x64 (and x86) Windows
robin-hood-hashing - Fast & memory efficient hashtable based on robin hood hashing for C++11/14/17/20
xmake - 🔥 A cross-platform build utility based on Lua
curl4cpp - Single header cURL wrapper for C++ around libcURL
fastbuild - High performance build system for Windows, OSX and Linux. Supporting caching, network distribution and more.
ut - C++20 μ(micro)/Unit Testing Framework
ModernCppStarter - 🚀 Kick-start your C++! A template for modern C++ projects using CMake, CI, code coverage, clang-format, reproducible dependency management and much more.
bench-rest - bench-rest - benchmark REST (HTTP/HTTPS) API's. node.js client module for easy load testing / benchmarking REST API's using a simple structure/DSL can create REST flows with setup and teardown and returns (measured) metrics.
llvm-mingw - An LLVM/Clang/LLD based mingw-w64 toolchain