Parser generators vs. handwritten parsers: surveying major languages in 2021

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • llvm-project

    The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

  • It seems to me that the parsing code in clang is distributed over multiple files which together are way more than 3000 lines: https://github.com/llvm/llvm-project/tree/llvmorg-12.0.1/cla...

  • Lark

    Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.

  • I know SPARK's docstring use influenced PLY.

    PLY doesn't use Earley, but "Earley" does come up in the show notes of an interview with Beazley, PLY's author, at https://www.pythonpodcast.com/episode-95-parsing-and-parsers... . No transcript, and I'm not going to listen to it just to figure out the context.

    https://github.com/lark-parser/lark "implements both Earley(SPPF) and LALR(1)".

    Kegler, the author of that timeline I linked to, is the author of Marpa. Home page is http://savage.net.au/Marpa.html . The most recent HN comments about it are from a year ago, at https://news.ycombinator.com/item?id=24321395 .

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • adama-lang

    A headless spreadsheet document container service.

  • When I switched from ANTLR to hand written for Adama ( http://www.adama-lang.org/ ), I felt way better about things. I was able to get sane error messages, and I could better annotate my syntax tree with comments and line/char numbers.

    A killer feature for a parser generator would be the ability to auto-generate a pretty printer which requires stuffing comments into the tree as a "meta token".

  • IParse

    IParse: an interpreting parser written in C++

  • I implemented an unparse function in IParse, which is not a parser generator, but a parser that interprets a grammar. See for example https://github.com/FransFaase/IParse/blob/master/software/c_... where symbols starting with a back slash are a kind of white space terminals during the unparse. For example, \inc stands for incrementing the indentation where \dec decrements it. The \s is used to indicate that at given location a space should be included.

  • ruby

    The Ruby Programming Language

  • The Ruby yacc file is scary to look at. 13+ thousand lines in a single file.

    Would it be better with hand rolled and they could have abstracted and organized somethings or does it all make sense in its current format if you are familiar with it?

    https://github.com/ruby/ruby/blob/v3_0_2/parse.y

  • nearley

    📜🔜🌲 Simple, fast, powerful parser toolkit for JavaScript.

  • Fast Parse

    Writing Fast Parsers Fast in Scala

  • Agreed! I would say that parser combinators are the sweet spot and the right choice in most cases.

    Scala has them as well, e.g.: https://com-lihaoyi.github.io/fastparse/

    And the good thing is, you don't have to learn a completely new language/syntax, you can use the host language's syntax and you have full IDE support as well.

  • InfluxDB

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  • dmd

    dmd D Programming Language compiler

  • Just read the code for an existing one like:

    https://github.com/dlang/dmd/blob/master/src/dmd/cparse.d

    which is a C parser. It's not hard to follow.

  • Crate

    CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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