Automa is a regex-to-Julia compiler. By compiling regex to Julia code in the form of Expr objects, Automa provides facilities to create efficient and robust regex-based lexers, tokenizers and parsers using Julia's metaprogramming capabilities. You can view Automa as a regex engine that can insert arbitrary Julia code into its input-matching process, which will be executed when certain parts of the regex match an input.
Features
- Automa is designed to generate very efficient code to scan large text data, often much faster than handcrafted code
- Examples available
- Documentation available
- Validate some text is composed only of ASCII alphanumeric characters
- Make a simple TSV file parser
- Make a lexer
Categories
Data VisualizationLicense
MIT LicenseFollow Automa.jl
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Automa.jl!