Lambda-RAM-Compiler VS CSLY

Compare Lambda-RAM-Compiler vs CSLY and see what are their differences.

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Lambda-RAM-Compiler CSLY
1 2
2 336
- -
8.3 9.2
5 months ago 4 days ago
Isabelle C#
- 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.

Lambda-RAM-Compiler

Posts with mentions or reviews of Lambda-RAM-Compiler. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-02.

CSLY

Posts with mentions or reviews of CSLY. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-02.

What are some alternatives?

When comparing Lambda-RAM-Compiler and CSLY you can also consider the following projects:

butter - A tasty language for building efficient software. WIP

Superpower - A C# parser construction toolkit with high-quality error reporting

4l - lisp like looking language

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

bluebird - A work-in-progess programming language modeled after Ada and C++

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

The-Spiral-Language - Functional language with intensional polymorphism and first-class staging.

FParsec - A parser combinator library for F#

TablaM - The practical relational programing language for data-oriented applications

gaiman - Gaiman: Text based game engine and programming language

firefly-boot - Bootstrap compiler for Firefly

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.