Superpower VS Lexepars

Compare Superpower vs Lexepars and see what are their differences.

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Superpower Lexepars
4 1
968 7
0.0% -
0.0 0.0
almost 2 years ago over 2 years ago
C# C#
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Superpower

Posts with mentions or reviews of Superpower. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-01.

Lexepars

Posts with mentions or reviews of Lexepars. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-02.
  • Would Someone ELI5 Parser Combinators?
    5 projects | /r/csharp | 2 Aug 2022
    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.

What are some alternatives?

When comparing Superpower and Lexepars you can also consider the following projects:

Sprache - A tiny, friendly, C# parser construction library

ParserObjects - C# library for parser combinators

Pidgin - A lightweight and fast parsing library for C#.

parser_builder - Lightweight template-based parser build system. Simple prototyping. Comfortable debugging. Effective developing.

CSLY - a C# embeddable lexer and parser generator (.Net core)

parser - A lexer and parser for GraphQL in .NET

FParsec - A parser combinator library for F#

matcheroni - A minimalist single-header library for building pattern-matchers, lexers, and parsers.

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

nlquery - Parser for end-user search-like queries and rule-based named entity recognition (NER) in context of tabular dataset schema.

Ooze - This package provides simple mechanism for applying filters, sorters, paging to your IQueryable<T> queries.