esprima2 6.0.0

esprima2 is a javascript parser written in python. It supports syntax up to ECMA 2025 and has ~1500 unit tests.

Credits

1. Ariya Hidayat created the original esprima library.
2. Kronuz created a python port as esprima-python, line-by-line - faithfully.
3. esprima library hasn't been updated since ECMAScript 2019 and esprima-python since ECMAScript 2017.
4. With esprima2, I added the missing syntax support and now we can parse modern javascript.

Features

• Syntax support up to ECMA 2025
• Sensible syntax tree format as standardized by ESTree project
• Experimental support for JSX, a syntax extension for React
• Optional tracking of syntax node location (index-based and line-column)
• Heavily tested (~1500 unit tests)

Installation

pip install esprima2

Development

Run the test suite with:

python3 -m test

Usage

Esprima can be used to perform lexical analysis (tokenization) or syntactic analysis (parsing) a JavaScript program.

A simple example:

    >>> import esprima
    >>> program = 'const answer = 42'

    >>> esprima.tokenize(program)
    [{
        type: "Keyword",
        value: "const"
    }, {
        type: "Identifier",
        value: "answer"
    }, {
        type: "Punctuator",
        value: "="
    }, {
        type: "Numeric",
        value: "42"
    }]

    >>> esprima.parseScript(program)
    {
        body: [
            {
                kind: "const",
                declarations: [
                    {
                        init: {
                            raw: "42",
                            type: "Literal",
                            value: 42
                        },
                        type: "VariableDeclarator",
                        id: {
                            type: "Identifier",
                            name: "answer"
                        }
                    }
                ],
                type: "VariableDeclaration"
            }
        ],
        type: "Program",
        sourceType: "script"
    }

More (and original) documentation is available here: https://esprima.org