parser
CSLY
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parser
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A command line tool that converts GraphQL schemas to Karate API tests
GraphQL-Parser for parsing GraphQL schemas into an AST to work with
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?
QuikGraph - Generic Graph Data Structures and Algorithms for .NET
Superpower - A C# parser construction toolkit with high-quality error reporting
graphql-to-karate - Automagically generate Karate API tests from your GraphQL schemas. Useful for test-driven development, change validation in CI/CD, and more.
Sprache - A tiny, friendly, C# parser construction library
Serilog - Simple .NET logging with fully-structured events
Pidgin - A lightweight and fast parsing library for C#.
Lexepars - Concise monadic parser combinator library with separate lexer/parser phases, off-side rule and big-size input support.
FParsec - A parser combinator library for F#
graphql-go-tools - GraphQL Router / API Gateway framework written in Golang, focussing on correctness, extensibility, and high-performance. Supports Federation v1 & v2, Subscriptions & more.
gaiman - Gaiman: Text based game engine and programming language
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.
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