ClangBuildAnalyzer
Bear
Our great sponsors
ClangBuildAnalyzer | Bear | |
---|---|---|
6 | 50 | |
918 | 4,453 | |
- | - | |
5.7 | 5.7 | |
2 months ago | 3 days ago | |
C++ | C++ | |
The Unlicense | GNU General Public License v3.0 only |
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.
ClangBuildAnalyzer
-
Speeding up C++ build times
> On another note: C++ compiler should by default keep statistics about the chain of #include's / parsing during compilation and dump it to a file at the end and also summarize how badly you're re-parsing the same .h files during build.
Not exactly that, but do you know clang's -ftime-trace and tools like https://github.com/aras-p/ClangBuildAnalyzer which help analyzing where time is actually spent? (In small repeated headers I don't see much of a problem, but they of course may contain not so small things ...)
-
Build Insights Now Available in Visual Studio 2022
You can also use the following when you want to inspect multiple files: https://github.com/aras-p/ClangBuildAnalyzer
-
IncludeGuardian - improve build times by removing expensive includes
ClangBuildAnalyzer reports on parsing, build, and link time, whereas IncludeGuardian only reports on parsing time.
-
"Fast Kernel Headers" Tree -v1: Eliminate the Linux kernel's "Dependency Hell"
https://github.com/aras-p/ClangBuildAnalyzer is a very useful tool to quantify the cost of different headers (and other costly parts of the compile such as template instantiations). It doesn’t help with actually fixing such problems, but it’s a pretty good ruler to measure where the time is spent.
-
How to understand output of gcc -ftime-report
If you can compile with Clang, I suggest you to try ClangBuildAnalyzer
Bear
-
emacs lsp-mode with MPLAB X project
Have you tried Bear? I used it for several projects and overall it works very well.
-
Eglot + clangd not working for NetHack code base
An update: I am now able to make everything work by generating `compile_commands.json` using compiledb. I'm aware that there is another tool Bear but for some reason it generates an empty `compile_commands.json` file for me.
-
I have an existing legacy build system. How do I leverage this with CLion to index my project?
Try https://github.com/rizsotto/Bear
-
New User C Setup Help?
Regarding the libraries, you might need to add it to clangd’s configuration. A convenient way is to have a compile_commands.json in your project (this is generated by some build tools like CMake, but if you don’t use them, have a look at bear).
-
vscode alternative for C++ on M1 mac?
Note that you need to have a compile_commands.json file. That file can easily be generated by CMake, Meson, etc. For other build systems checkout Bear https://github.com/rizsotto/Bear
-
I hope that cscope can make a comeback in the versions after 0.9
make a 'gcc' command/executable that do nothing and make it first in your PATH and then run bear with make: https://github.com/rizsotto/Bear/issues/219 It is unfortunate that bear doesn't catch the output of the make command with '--dry-run' as it still prints the compile commands, it seems not that hard to support this and I think many ppl would benefit..
-
CLion 2023.1 released
You could try to start with Bear: https://github.com/rizsotto/Bear In worst cases, I had to use strace to catch every gcc/g++ invocation and restructure the compile_commands.json out of the strace logs.
-
Is CMake necessary to set up a C++ "IDE" in neovim?
But it sounds like maybe you’re assuming for the purposes of using something like clangd (highly recommended for coding in cpp projects in general, you want to be using this in vscode or whatever else anyway, codelion notwithstanding I suppose) with neovim on a c++ project that you have to use cmake to produce a compilation database to use with neovim plugins (e.g. clangd via nvim-lsp et. al.). In this case, be aware that the https://github.com/rizsotto/Bear tool is a handy way to just tack it on to whatever command you’re using to run a c++ code build step, and it will give you a compile_commands.json, corresponding to the compiler commands it invoked, on a silver platter.
-
Makefile versus CMake build system
I guess your questionmarks are about installing "bear", he refers to this project: https://github.com/rizsotto/Bear
-
how to use .clang-format with lunarvim ?
You just simply go to the root of your project, use bear and just open your C files. That's all.
What are some alternatives?
sol2 - Sol3 (sol2 v3.0) - a C++ <-> Lua API wrapper with advanced features and top notch performance - is here, and it's great! Documentation:
compiledb - Tool for generating Clang's JSON Compilation Database files for make-based build systems.
ccache - ccache – a fast compiler cache
vscode-cpptools - Official repository for the Microsoft C/C++ extension for VS Code.
include-what-you-use - A tool for use with clang to analyze #includes in C and C++ source files
NvChad - Blazing fast Neovim config providing solid defaults and a beautiful UI, enhancing your neovim experience.
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
scan-build - Clang's scan-build re-implementation in python
cppcoro - A library of C++ coroutine abstractions for the coroutines TS
coc-clangd - clangd extension for coc.nvim
zapcc - zapcc is a caching C++ compiler based on clang, designed to perform faster compilations
clangd - clangd language server