Pidgin
CSLY
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Pidgin
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Library to parse slash commands with validation?
pigeon https://github.com/benjamin-hodgson/Pidgin
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Would Someone ELI5 Parser Combinators?
Unfortunately I'm struggling. The first problem is choosing which combinator library to go with: Sprache, Superpower, Parlot, Pidgen, Lexepars, etc. etc. Some look simpler to use than others, others more performant, others come with useful parsers built in.
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Introducing REXS: A language for writing regular expressions
Isn't that basically what parser combinators do? E.g., https://github.com/benjamin-hodgson/Pidgin
CSLY
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June 2021 monthly "What are you working on?" thread
I am still working on CSLY, a parser generator for C#.
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April 2021 monthly "What are you working on?" thread
first reddit post. i am working for some time now on a C# parser generator : CSLY I wanted a parser generator as easy to use as possible and compact enough. I ve succesfully used it professionaly as a mean to introduce scripting capabilities in a payroll software.
What are some alternatives?
Sprache - A tiny, friendly, C# parser construction library
Superpower - A C# parser construction toolkit with high-quality error reporting
FParsec - A parser combinator library for F#
firely-net-sdk - The official Firely .NET SDK for HL7 FHIR
gaiman - Gaiman: Text based game engine and programming language
ANTLR - ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.
imparse - Parser generator that can be used to quickly and succinctly define a parser definition, and to deploy an automatically-generated implementations thereof in multiple languages and on multiple platforms.
REXS - A language for writing regular expressions.
Recognizers-Text - Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text