Covfefe VS Syntax

Compare Covfefe vs Syntax and see what are their differences.

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Covfefe Syntax
2 1
59 146
- -
0.0 0.0
about 2 years ago almost 2 years ago
Swift Swift
MIT License 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.

Covfefe

Posts with mentions or reviews of Covfefe. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-08.

Syntax

Posts with mentions or reviews of Syntax. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-08.

What are some alternatives?

When comparing Covfefe and Syntax you can also consider the following projects:

TatSu - 竜 TatSu generates Python parsers from grammars in a variation of EBNF

SnapKit - A Swift Autolayout DSL for iOS & OS X

awesome-swift - A collaborative list of awesome Swift libraries and resources. Feel free to contribute!

SwiftParsec - A parser combinator library written in the Swift programming language.

awesome-ios - A curated list of awesome iOS ecosystem, including Objective-C and Swift Projects

Parsey - Swift Parser Combinators

CombineExt - CombineExt provides a collection of operators, publishers and utilities for Combine, that are not provided by Apple themselves, but are common in other Reactive Frameworks and standards.

orion - Elegant tweak development in pure Swift

OAuthSwift - Swift based OAuth library for iOS

Swift-ParserKit - A standalone monadic parser-combinator library

proleap-cobol-parser - ProLeap ANTLR4-based parser for COBOL

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