RecordParser
A zero-allocation, high-performance parser for fixed-length and variable-length files in .NET, using expression trees and Span.
What is RecordParser?
RecordParser is a high-performance, zero-allocation parser for .NET that reads and writes structured data from fixed-length and variable-length files like CSV and TSV. It solves the problem of slow, memory-intensive file parsing by using Span and expression trees to generate optimized code, resulting in minimal GC pressure and fast processing speeds.
.NET developers working with large data files, financial services, ETL processes, or any scenario requiring efficient parsing of CSV, TSV, or fixed-width formats.
Developers choose RecordParser for its exceptional performance (ranked 2nd in fastest CSV parser benchmarks), zero-allocation design, and flexibility in mapping complex data structures without intrusive dependencies.
Overview
Zero Allocation Writer/Reader Parser for .NET Core
Use Cases
Best For
- Parsing large CSV or TSV files with minimal memory overhead
- Processing fixed-width financial or mainframe data files
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