nearley vs antlr4 vs pegjs vs jison
Parsing Libraries for JavaScript Comparison
1 Year
nearleyantlr4pegjsjison
What's Parsing Libraries for JavaScript?

Parsing libraries are essential tools in web development that allow developers to define grammars and parse structured text or code into a more manageable format, such as Abstract Syntax Trees (ASTs). These libraries are particularly useful for building interpreters, compilers, and domain-specific languages (DSLs). Each of the listed libraries has its unique strengths and features that cater to different parsing needs, from simple expression parsing to complex language processing.

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nearley3,135,7383,658-1984 years agoMIT
antlr4573,36217,6353.09 MB9977 months agoBSD-3-Clause
pegjs382,7684,851-1169 years agoMIT
jison55,5964,364-1618 years agoMIT
Feature Comparison: nearley vs antlr4 vs pegjs vs jison

Grammar Definition

  • nearley:

    Nearley supports a more expressive grammar definition that can handle ambiguous grammars. It allows for the use of multiple parsing strategies, enabling developers to define complex language rules with ease.

  • antlr4:

    ANTLR4 allows for defining grammars using a rich syntax that supports complex language constructs, including context-free grammars. It provides features like syntax highlighting and error reporting, making it easier to develop and debug grammars.

  • pegjs:

    PEG.js uses Parsing Expression Grammar (PEG) for defining grammars, which is intuitive and allows for clear expression of language rules. It provides a simple way to define recursive grammars and supports backtracking.

  • jison:

    Jison uses a BNF-like syntax for defining grammars, which is straightforward and easy to understand. It is designed for simplicity, making it accessible for developers who may not have extensive experience with parsing.

Error Handling

  • nearley:

    Nearley excels in error handling by allowing developers to define custom error messages and recovery strategies. It provides detailed feedback on parsing errors, which can be crucial for debugging complex grammars.

  • antlr4:

    ANTLR4 provides robust error handling mechanisms, including error recovery strategies and detailed error messages, which help developers identify and fix issues in their grammars effectively.

  • pegjs:

    PEG.js has a straightforward error reporting mechanism that provides feedback on parsing errors. However, it may require additional effort to implement advanced error recovery strategies.

  • jison:

    Jison offers basic error handling capabilities, allowing developers to define custom error messages. However, it may not be as comprehensive as ANTLR4 in terms of recovery strategies.

Performance

  • nearley:

    Nearley is designed to handle complex grammars and can perform well with ambiguous inputs. However, its performance may vary depending on the parsing strategy used.

  • antlr4:

    ANTLR4 is optimized for performance and can handle large input sizes efficiently. Its generated parsers are designed for speed, making it suitable for performance-critical applications.

  • pegjs:

    PEG.js generates parsers that are efficient for most use cases, but performance can degrade with very complex grammars due to backtracking.

  • jison:

    Jison is generally performant for small to medium-sized grammars, but may face limitations with very large or complex grammars due to its simpler parsing approach.

Community and Ecosystem

  • nearley:

    Nearley has a growing community and is gaining popularity for its flexibility. It has good documentation and examples, but may not have as many resources as ANTLR4.

  • antlr4:

    ANTLR4 has a large and active community, with extensive documentation, tutorials, and examples available. It also supports multiple target languages, making it versatile for various projects.

  • pegjs:

    PEG.js has a moderate community presence, with sufficient documentation and examples. It is well-supported, but the ecosystem is not as extensive as ANTLR4's.

  • jison:

    Jison has a smaller community compared to ANTLR4, but it is still supported by a dedicated user base. Documentation is available, though it may not be as extensive as ANTLR4's.

Learning Curve

  • nearley:

    Nearley has a moderate learning curve, especially for developers familiar with parsing concepts. Its flexibility can be both an advantage and a challenge for newcomers.

  • antlr4:

    ANTLR4 has a steeper learning curve due to its comprehensive feature set and complex grammar definitions. However, once mastered, it offers powerful capabilities for parsing.

  • pegjs:

    PEG.js is relatively easy to learn, especially for those familiar with JavaScript. Its grammar definitions are intuitive, making it accessible for developers of all skill levels.

  • jison:

    Jison is easy to learn and suitable for beginners, making it a good choice for those new to parsing. Its straightforward syntax allows for quick implementation.

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

    Opt for Nearley if you need a flexible parser that can handle ambiguous grammars and supports a wide range of parsing strategies. It is beneficial for projects that require advanced parsing techniques and the ability to work with complex language structures.

  • antlr4:

    Choose ANTLR4 if you need a powerful parser generator that supports multiple programming languages and has a rich set of features for building complex parsers and interpreters. It is ideal for large-scale projects that require robust error handling and extensive grammar capabilities.

  • pegjs:

    Use PEG.js if you prefer a parser generator that is easy to integrate with JavaScript and offers a simple syntax for defining grammars. It is well-suited for projects that need a lightweight solution for parsing and can benefit from its ability to generate parsers in a single JavaScript file.

  • jison:

    Select Jison for its simplicity and ease of use, especially if you are looking to create a parser quickly for a small to medium-sized project. It is particularly well-suited for projects that require a straightforward grammar definition and quick integration into JavaScript applications.

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}
}