What is this?
A community-maintained, open-source collection of algorithm implementations in C, covering computer science, mathematics, statistics, data science, machine learning and engineering.
A community-maintained, open-source collection of algorithm implementations in C, covering computer science, mathematics, statistics, data science, machine learning and engineering.Is it a library I add to my project, or a collection of programs to read and run?A collection of standalone source files: each is atomic, needs only the standard C library, and compiles on its own — so you study or build individual algorithms rather than install a package.
A collection of standalone source files: each is atomic, needs only the standard C library, and compiles on its own — so you study or build individual algorithms rather than install a package.How do I build and run an algorithm from it?Clone the repository and compile whichever file interests you with a C11-compliant compiler; CI compile-tests every commit, so the samples are known to build cleanly.
Clone the repository and compile whichever file interests you with a C11-compliant compiler; CI compile-tests every commit, so the samples are known to build cleanly.Is the code production-ready, or more of a study material?Treat it as a learning resource, not an optimized library: for the same objective you may find several implementations using different algorithm strategies and optimizations.
Treat it as a learning resource, not an optimized library: for the same objective you may find several implementations using different algorithm strategies and optimizations.Is it aimed at beginners learning algorithms, or at experienced C developers?Primarily educators and students — the source code is deliberately well documented with detailed explanations so the fundamentals of each algorithm can be studied in depth.
Primarily educators and students — the source code is deliberately well documented with detailed explanations so the fundamentals of each algorithm can be studied in depth.Will it run on my machine, or only on Linux?CI compiles and tests every commit on macOS (AppleClang 14.0.0) and Ubuntu (GCC 11.3.0), and strict C11 adherence lets the same code target embedded systems like ESP32 and ARM Cortex with little to no changes.
CI compiles and tests every commit on macOS (AppleClang 14.0.0) and Ubuntu (GCC 11.3.0), and strict C11 adherence lets the same code target embedded systems like ESP32 and ARM Cortex with little to no changes.Can I take this code and use it in my own project?Yes — the modular implementations under the GPLv3 are explicitly meant to be conveniently utilized in other applications, though GPLv3 copyleft obligations carry over to what you build.
Yes — the modular implementations under the GPLv3 are explicitly meant to be conveniently utilized in other applications, though GPLv3 copyleft obligations carry over to what you build.How can I tell an implementation actually works?Every program carries built-in self-checks, so compiling and running a file confirms on the spot that the implementation behaves as described.
Every program carries built-in self-checks, so compiling and running a file confirms on the spot that the implementation behaves as described.What are similar projects?C-Plus-Plus, JavaScript, Go, interviews, Java, cosmos, interview, Python
C-Plus-Plus, JavaScript, Go, interviews, Java, cosmos, interview, PythonWhich topics is it in?algorithm-competitions, sort, learn-to-code, machine-learning-algorithms, community-driven, educational, students, mathematics, interview-questions, data-structures, interview, embedded
algorithm-competitions, sort, learn-to-code, machine-learning-algorithms, community-driven, educational, students, mathematics, interview-questions, data-structures, interview, embedded