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The antlr4 npm package is a powerful tool for building language parsers. It allows developers to define grammars for programming languages, data formats, and more, and then generate parsers that can process text according to those grammars.
Grammar Definition
This code demonstrates how to define a grammar and use it to parse an input string. The grammar is defined in separate files (MyGrammarLexer and MyGrammarParser), and the input string is processed according to the rules defined in the grammar.
const antlr4 = require('antlr4');
const { ANTLRInputStream, CommonTokenStream } = antlr4;
const MyGrammarLexer = require('./MyGrammarLexer');
const MyGrammarParser = require('./MyGrammarParser');
const input = 'your input string';
const inputStream = new ANTLRInputStream(input);
const lexer = new MyGrammarLexer(inputStream);
const tokenStream = new CommonTokenStream(lexer);
const parser = new MyGrammarParser(tokenStream);
const tree = parser.startRule();
Tree Walking
This code demonstrates how to walk through the parse tree generated by the parser. A listener (MyGrammarListener) is used to respond to events as the tree is walked, allowing for custom processing of the parsed input.
const antlr4 = require('antlr4');
const { ParseTreeWalker } = antlr4.tree;
const MyGrammarListener = require('./MyGrammarListener');
const input = 'your input string';
const inputStream = new ANTLRInputStream(input);
const lexer = new MyGrammarLexer(inputStream);
const tokenStream = new CommonTokenStream(lexer);
const parser = new MyGrammarParser(tokenStream);
const tree = parser.startRule();
const listener = new MyGrammarListener();
ParseTreeWalker.DEFAULT.walk(listener, tree);
Custom Visitor
This code demonstrates how to use a custom visitor (MyGrammarVisitor) to traverse the parse tree. The visitor pattern allows for more flexible and reusable tree processing compared to listeners.
const antlr4 = require('antlr4');
const MyGrammarVisitor = require('./MyGrammarVisitor');
const input = 'your input string';
const inputStream = new ANTLRInputStream(input);
const lexer = new MyGrammarLexer(inputStream);
const tokenStream = new CommonTokenStream(lexer);
const parser = new MyGrammarParser(tokenStream);
const tree = parser.startRule();
const visitor = new MyGrammarVisitor();
const result = visitor.visit(tree);
PEG.js is a simple parser generator for JavaScript based on the parsing expression grammar formalism. It is similar to ANTLR in that it allows you to define grammars and generate parsers, but it is generally considered to be easier to use for simpler grammars and smaller projects.
Nearley is a fast, powerful parser toolkit for JavaScript. It is similar to ANTLR in that it allows you to define grammars and generate parsers, but it uses a different parsing algorithm (Earley parsing) which can handle a wider range of grammars, including ambiguous ones.
Jison is a parser generator for JavaScript that is similar to ANTLR. It allows you to define grammars using a syntax similar to Bison/Yacc and generates parsers that can be used in JavaScript applications. Jison is often used for building compilers and interpreters for custom languages.
JavaScript runtime libraries for ANTLR 4
This runtime is available through npm. The package name is 'antlr4'.
This runtime has been tested in Node.js, Safari, Firefox, Chrome and IE.
See www.antlr.org for more information on ANTLR
See Javascript Target for more information on using ANTLR in JavaScript
The JavaScript itself is tested using npm, so assumption is npm is already installed. The current npm version used is 3.10.9.
The publishing itself relies on the information in package.json.
To publish run npm login
from Terminal, then npm publish antlr4
That's it!
To publish antlr4 for browser usage you need to bundle it into a single
file with npm run build
. This will create dist/antlr4.js
file. Upload it
to your favourite server.
That's it!
FAQs
JavaScript runtime for ANTLR4
The npm package antlr4 receives a total of 393,457 weekly downloads. As such, antlr4 popularity was classified as popular.
We found that antlr4 demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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