htslib VS eigen

There is another nice multi-core gzip based library called BGZF[1]. It is commonly used in bioinformatics. BGZF has the added advantage that it is block compressed with built in indexing method to permit seeking in compressed files.

[1] https://github.com/samtools/htslib

In contrast, processing can start immediately and only transfer what is necessary if tooling can read bytes of data directly from Amazon S3. Tools based on htslib can do this, so you can run something like:

Another idea is add in reading cloud data natively e.g. htslib which samtools relies on can read s3 directly. https://github.com/samtools/htslib

Greetings! I'm a bioinformatics software dev in San Francisco and I'm looking for others interested in working on a high-performance genetic data analysis project. The project is in C, using https://github.com/samtools/htslib.

I'm working on a bioinformatics-related binding called ruby-htslib. htslib makes heavy use of bit fields throughout the library, so supporting bit fields is inevitable.

Is Eigen still alive? There's been no release in 3 years, and no news about it: https://gitlab.com/libeigen/eigen/-/issues/2699

I was curious about these libraries a few weeks ago and did some searching. Is there one that's got a clearly dominating set of users or contributors?

I don't know what a good way to compare these might be, other than perhaps activity/contributor count.

[1] https://github.com/simd-everywhere/simde

[2] https://github.com/ermig1979/Simd

[3] https://github.com/google/highway

[4] https://gitlab.com/libeigen/eigen

[5] https://github.com/shibatch/sleef

I am trying to include Eigen in my project via FetchContent. They define/assume-defined PROJECT_IS_TOP_LEVEL on line 19 and, among other locations, on line 607 in their top level list file.

Eigen is a header-only library, thus simply cloning it from the official repository into the FOGGDD folder should be enough.

math library because you should never implement a math library yourself, and you probably want somethign more focused on performance than STL. GLM may work if you just need basic vector support. Eigen may help for a more physics heavy game. But I'd probably find something in-between those two

cmake_minimum_required(VERSION 3.15) project(app) include(FetchContent) FetchContent_Declare(Eigen3 URL https://gitlab.com/libeigen/eigen/-/archive/3.4.0/eigen-3.4.0.tar.gz) FetchContent_MakeAvailable(Eigen3) add_executable(app main.cpp) target_link_libraries(app Eigen3::Eigen)

Today was very easy to do with Eigen