C
Collection of algorithms in C for educational purposes spanning computer science, math, and machine learning.
Explore well-documented C implementations of classic algorithms for students and educators.
This repository provides atomic, standard C library implementations of algorithms across computer science, mathematics, and machine learning. It is built for educators and students who want to study fundamental logic without external dependencies.
What it is
The project contains multiple implementations of the same objectives using different algorithmic strategies and optimizations. All source codes are written in C11 and depend strictly on the standard library, requiring no external packages to compile and run.
Who it's for
It suits educators and computer science students looking to inspect foundational algorithm code in depth. It does not suit developers seeking high-level machine learning frameworks or production-ready wrappers for enterprise systems.
Key features
Standard Library Only
Every source file uses only libc with no external dependencies required for compilation.
Embedded Systems Portability
Adherence to the C11 standard ensures code can run on microcontrollers like ESP32 and ARM Cortex.
Continuous Integration Testing
Source codes are compiled and tested automatically for every commit on MacOS and Ubuntu.
Built-in Self-Checks
Programs include self-checking routines to verify correct implementation with confidence.
Up and running in 3 steps
Our honest verdict
What's great
- Atomic source files make it easy to study individual algorithms in complete isolation.
- Multiple strategy variations for the same objective help compare performance approaches.
- Generated online documentation includes program flow diagrams and file-by-file breakdowns.
- Strict C11 compliance allows direct porting to resource-constrained hardware.
Where it falls short
- Requires manual compilation and execution since there are no pre-built binary packages.
- Lacks high-level abstractions or wrappers, requiring deep manual code inspection.
- The learning curve depends entirely on your familiarity with C pointer arithmetic and memory management.
Pricing & license
The repository is free under the GPLv3 license, with no paid hosted options provided by the project. The only cost is your own time and hardware for compilation.
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FAQ
Do I need to install external libraries to run these algorithms?
No. Every source file relies exclusively on the standard C library (libc) and needs no external dependencies.
Can I run this code on embedded hardware?
Yes. The repository strictly adheres to the C11 standard, making it portable to embedded systems like ARM Cortex and ESP32.
How is the documentation generated?
Online documentation is generated directly from the repository source codes using Doxygen.
