Unlike regular expressions (regex), which can be cumbersome for complex tasks, and tree-sitter, which is often overkill, parser combinators provide a middle ground that is both flexible and efficient. They allow you to build parsers by combining simpler parsers, making them ideal for tasks where regex is too complex or tree-sitter is too heavy. This technique simplifies the process of parsing text into structured data, making it easier to read and maintain.
Key points
Parser combinators are a powerful technique for parsing text into structured data.: Parser combinators are a powerful technique for parsing text into structured data.
They are ideal for tasks where regex is too complex or tree-sitter is too heavy.: They are ideal for tasks where regex is too complex or tree-sitter is too heavy.
This technique simplifies the process of parsing text into structured data, making it eas…: This technique simplifies the process of parsing text into structured data, making it easier to read and maintain.
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Parsing is the act of taking less structured input like text, and turning it into more structured data, like objects.
Many of you will be familiar with using regex to parse text, and some of you might know about tree-sitter, a heavy-duty parsing library which powers the syntax highlighting in your code editor.
But regex gets messy on complex tasks, and tree-sitter often is overkill — for this middle ground, parser combinators are perfect. Not many people know about them, so allow me to show you!
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