Superpower
QueryKit
| Superpower | QueryKit | |
|---|---|---|
| 4 | 1 | |
| 968 | 134 | |
| 0.0% | - | |
| 0.0 | 8.2 | |
| almost 2 years ago | 21 days ago | |
| C# | C# | |
| Apache License 2.0 | Apache License 2.0 |
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Superpower
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I made a new filtering library for .NET projects
Awesome little project you got going on there :) , I've done something similar with Ooze and extracted it to Ooze.Query later. I need to push them to nuget also when I catch some time (I jump back to it from time to time when I have some free space). Cool to see another person using parser construction libs. I see you used Sprache, I went for SuperPower for this situation.
- how would you solve this? Filtering a db model from the api and persisting the filtration rules in a safe and db agnostic way
- GitHub - nreco/nlquery: Parser for end-user search-like queries and rule-based named entity recognition (NER) in context of tabular dataset schema.
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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.
QueryKit
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I made a new filtering library for .NET projects
The new project is called QueryKit and I put up the first release for it yesterday. It has a solid foundation with a good bit of test coverage, but I add a few more things and dogfood it a bit before I push it to a stable v1.
What are some alternatives?
Sprache - A tiny, friendly, C# parser construction library
System.Linq.Dynamic.Core - The .NET Standard / .NET Core version from the System Linq Dynamic functionality.
Pidgin - A lightweight and fast parsing library for C#.
Ooze - This package provides simple mechanism for applying filters, sorters, paging to your IQueryable<T> queries.
CSLY - a C# embeddable lexer and parser generator (.Net core)
QueryR - Ad-Hoc querying library for .Net
FParsec - A parser combinator library for F#
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.