A Go library for reading and writing CSV files using struct tags for mapping fields.
go-csv-tag is a Go library that enables reading and writing CSV files using struct tags for automatic field mapping. It solves the problem of manual CSV parsing by providing a declarative way to bind CSV columns to Go struct fields, ensuring type safety and reducing boilerplate code.
Go developers who need to process CSV files in their applications, particularly those working with data import/export, configuration files, or data transformation tasks.
Developers choose go-csv-tag for its simplicity and type safety, as it eliminates error-prone manual parsing and leverages Go's native struct tags for clean, maintainable CSV handling.
Read csv file from go using tags
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Uses Go's struct tags to automatically map CSV columns to fields, eliminating manual parsing code as shown in the Load example with tagged structs like `Demo`.
Supports loading from files, strings, and io.Reader, and dumping to files, strings, and io.Writer, demonstrated in the README's LoadFromPath, LoadFromString, and DumpToFile functions.
Handles automatic conversion of CSV string values to Go types like int and float64, ensuring data integrity without extra validation steps, as seen in the example struct fields.
Allows custom separators, headers, and tag keys via CsvOptions, providing flexibility for different CSV formats, such as changing the separator to ';' in the Load example.
The README explicitly states the project is in maintenance mode with no new features developed, limiting future enhancements, bug fixes, and community support.
Relies on static struct definitions with tags, making it unsuitable for CSV files with variable or unknown columns without code changes or preprocessing.
Error messages and handling might be less informative compared to more comprehensive libraries, potentially complicating debugging for edge cases like type conversion failures.