Aria's CSV Parser: Bridging the Gap in C for CSV File Parsing

Hello!

I'm excited to share a small and simple project that I just published on my GitHub – Aria's CSV Parser. As a developer often working with CSV data in C, I've always felt the absence of a native CSV parser in the C standard library. This led me to develop Aria's CSV Parser, an open-source, efficient solution for parsing CSV files in C.

Why Aria's CSV Parser?

While C is a powerful language for system programming, it lacks built-in support for parsing CSV files, a common data format. This gap often forces developers to write cumbersome and error-prone code. Aria's CSV Parser is my answer to this challenge – providing a simple, yet effective tool for reading these files.

Key Features of Aria's CSV Parser

• Ease of Reading and Parsing: Effortlessly read lines from CSV files and parse them into fields.
• Handles Various Separators: Whether your CSV uses commas, semicolons, or tabs, the parser adapts to different separators.
• Robust Memory Management: Designed with a focus on preventing memory leaks, crucial for reliability.
• Support for Quoted Fields: Easily handles fields enclosed in quotes, a common occurrence in CSV files.
• Straightforward Integration: Just a few steps to clone, include, and compile it into your project.

Getting Started with Aria's CSV Parser

Here's a sneak peek into how simple it is to use:

Reading a CSV File:

#include "csvparser.h"
#include <stdio.h>

int main() {
    FILE *file = fopen("yourfile.csv", "r");
    char *line;
    while ((line = readline(file)) != NULL) {
        printf("%s", line);
        free(line);
    }
    fclose(file);
    return 0;
}

Parsing a Line from a CSV File:

#include "csvparser.h"

int main() {
    char *csvLine = "Field1,Field2,Field3";
    char **fields = parseline(csvLine, ",");
    // Now, process these fields as needed.
    return 0;
}

If you find Aria's CSV Parser useful, don't forget to check it out on GitHub. I know it's a very simple and small project, but I decided to publish it because it helps me a lot saving time when I have to work with CSV data, and I hope it can help you too.

Thanks for reading this post!