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There's plenty of other CSV parsers in the wild, but I had a hard time finding what I wanted. Inspired by Python's csv module, I wanted a library with simple, intuitive syntax. Furthermore, I wanted support for special use cases such as calculating statistics on very large files. With the deluge of large datasets available, a performant CSV parser is a necessity. By using overlapped threads, memory-mapped IO, and efficient data structures, this parser can quickly tackle large CSV files. Furthermore, this parser has a minimal memory footprint and can handle larger-than-RAM files.
Features
- This CSV parser is much more than a fancy string splitter, and parses all files following RFC 4180
- This CSV parser is encoding-agnostic and will handle ANSI and UTF-8 encoded files
- By default, rows of variable length are silently ignored, although you may elect to keep them or throw an error
- This CSV parser has an extensive test suite and is checked for memory safety with Valgrind
- It does not try to decode UTF-8, except for detecting and stripping UTF-8 byte order marks
- This library was developed with Microsoft Visual Studio
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