nearley vs antlr4 vs langium vs pegjs vs jison
JavaScript Parsing Libraries Comparison
1 Year
nearleyantlr4langiumpegjsjison
What's JavaScript Parsing Libraries?

JavaScript parsing libraries are tools designed to process and analyze source code or structured text. They can generate parsers from grammars, enabling developers to create interpreters, compilers, or domain-specific languages (DSLs). These libraries simplify the task of parsing complex syntax and provide various features to handle different parsing strategies, error recovery, and code generation.

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nearley3,116,6693,666-1984 years agoMIT
antlr4711,70117,7883.09 MB1,0128 months agoBSD-3-Clause
langium568,1917973.61 MB115a month agoMIT
pegjs543,6104,862-1169 years agoMIT
jison59,3534,366-1618 years agoMIT
Feature Comparison: nearley vs antlr4 vs langium vs pegjs vs jison

Grammar Definition

  • nearley:

    Nearley allows you to define grammars using a simple and intuitive syntax, supporting both context-free and ambiguous grammars, which makes it versatile for various parsing needs.

  • antlr4:

    ANTLR4 allows you to define grammars using a clear and expressive syntax, supporting features like lexer and parser rules, and provides a rich set of tools for grammar analysis and debugging.

  • langium:

    Langium supports defining grammars in a TypeScript-based DSL, which allows for seamless integration with TypeScript projects and provides type safety and IDE support.

  • pegjs:

    PEG.js uses Parsing Expression Grammar (PEG) to define grammars, providing a straightforward way to create parsers with a focus on simplicity and performance.

  • jison:

    Jison enables you to define grammars in a concise format, making it easy to create parsers quickly. It supports both LALR(1) and LR(0) grammars, allowing for flexibility in grammar design.

Error Handling

  • nearley:

    Nearley has robust error handling mechanisms, allowing you to define custom error messages and recovery strategies, making it easier to manage parsing errors.

  • antlr4:

    ANTLR4 provides advanced error handling capabilities, allowing you to define custom error messages and recovery strategies, making it easier to debug parsing issues.

  • langium:

    Langium offers built-in error handling and reporting features, providing useful feedback during parsing, which is essential for developing DSLs.

  • pegjs:

    PEG.js provides basic error reporting, but it may require additional implementation for comprehensive error handling.

  • jison:

    Jison includes basic error handling features, allowing you to define error recovery rules, but it may require additional work for complex error management.

Performance

  • nearley:

    Nearley is known for its flexibility and can handle complex grammars, but performance may be impacted by ambiguous rules and large input sizes.

  • antlr4:

    ANTLR4 is optimized for performance, especially with large grammars, and provides efficient parsing strategies to handle complex input efficiently.

  • langium:

    Langium is designed for DSLs and may not be as performant as ANTLR4 for general-purpose parsing, but it excels in providing language tooling features.

  • pegjs:

    PEG.js offers good performance for small to medium-sized grammars, but may struggle with very large or complex grammars due to its backtracking nature.

  • jison:

    Jison generates efficient parsers, but performance may vary depending on the complexity of the grammar and the specific use case.

Tooling and Ecosystem

  • nearley:

    Nearley has a growing ecosystem with plugins and tools for integration, but it may not be as extensive as ANTLR4's ecosystem.

  • antlr4:

    ANTLR4 has a rich ecosystem with tools for grammar visualization, code generation, and integration with various programming languages, making it a robust choice for large projects.

  • langium:

    Langium provides a comprehensive set of tools for developing DSLs, including language servers and IDE support, enhancing the development experience.

  • pegjs:

    PEG.js has a straightforward approach with minimal tooling, making it easy to use but lacking advanced features found in other libraries.

  • jison:

    Jison has a simpler ecosystem, primarily focused on generating parsers, but it can be easily integrated into JavaScript projects without much overhead.

Learning Curve

  • nearley:

    Nearley is user-friendly and easy to learn, especially for developers familiar with JavaScript, making it accessible for various projects.

  • antlr4:

    ANTLR4 has a steeper learning curve due to its extensive features and capabilities, making it more suitable for experienced developers working on complex projects.

  • langium:

    Langium has a moderate learning curve, particularly for developers familiar with TypeScript, and is designed for those focused on DSL development.

  • pegjs:

    PEG.js has a gentle learning curve, allowing developers to quickly grasp grammar definitions and parser generation.

  • jison:

    Jison is relatively easy to learn, especially for those familiar with JavaScript, making it a good choice for beginners or smaller projects.

How to Choose: nearley vs antlr4 vs langium vs pegjs vs jison
  • nearley:

    Use Nearley if you want a flexible and powerful parser generator that supports ambiguous grammars and allows for easy integration with existing JavaScript code. It is particularly useful for projects that require handling complex or ambiguous syntax.

  • antlr4:

    Choose ANTLR4 if you need a powerful parser generator that supports multiple programming languages and offers advanced features like error handling, tree construction, and visitor patterns. It is ideal for complex grammars and large projects requiring extensive parsing capabilities.

  • langium:

    Opt for Langium if you are focused on developing domain-specific languages (DSLs) with a strong emphasis on language tooling and IDE support. Langium provides a comprehensive framework for building DSLs, including features for code completion and syntax highlighting.

  • pegjs:

    Choose PEG.js if you prefer a simple and efficient parser generator based on Parsing Expression Grammar (PEG). It is great for projects that need a straightforward way to define grammars and generate parsers with minimal setup.

  • jison:

    Select Jison for a lightweight solution that allows you to define grammars in a simple way and generate parsers in JavaScript. It is suitable for projects where you need a quick and straightforward parser without the overhead of more complex libraries.

README for nearley

nearley ↗️

JS.ORG npm version

nearley is a simple, fast and powerful parsing toolkit. It consists of:

  1. A powerful, modular DSL for describing languages
  2. An efficient, lightweight Earley parser
  3. Loads of tools, editor plug-ins, and other goodies!

nearley is a streaming parser with support for catching errors gracefully and providing all parsings for ambiguous grammars. It is compatible with a variety of lexers (we recommend moo). It comes with tools for creating tests, railroad diagrams and fuzzers from your grammars, and has support for a variety of editors and platforms. It works in both node and the browser.

Unlike most other parser generators, nearley can handle any grammar you can define in BNF (and more!). In particular, while most existing JS parsers such as PEGjs and Jison choke on certain grammars (e.g. left recursive ones), nearley handles them easily and efficiently by using the Earley parsing algorithm.

nearley is used by a wide variety of projects:

nearley is an npm staff pick.

Documentation

Please visit our website https://nearley.js.org to get started! You will find a tutorial, detailed reference documents, and links to several real-world examples to get inspired.

Contributing

Please read this document before working on nearley. If you are interested in contributing but unsure where to start, take a look at the issues labeled "up for grabs" on the issue tracker, or message a maintainer (@kach or @tjvr on Github).

nearley is MIT licensed.

A big thanks to Nathan Dinsmore for teaching me how to Earley, Aria Stewart for helping structure nearley into a mature module, and Robin Windels for bootstrapping the grammar. Additionally, Jacob Edelman wrote an experimental JavaScript parser with nearley and contributed ideas for EBNF support. Joshua T. Corbin refactored the compiler to be much, much prettier. Bojidar Marinov implemented postprocessors-in-other-languages. Shachar Itzhaky fixed a subtle bug with nullables.

Citing nearley

If you are citing nearley in academic work, please use the following BibTeX entry.

@misc{nearley,
    author = "Kartik Chandra and Tim Radvan",
    title  = "{nearley}: a parsing toolkit for {JavaScript}",
    year   = {2014},
    doi    = {10.5281/zenodo.3897993},
    url    = {https://github.com/kach/nearley}
}