language-docker VS nevada-revised-statutes-parser

Compare language-docker vs nevada-revised-statutes-parser and see what are their differences.

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language-docker nevada-revised-statutes-parser
- 1
35 6
- -
5.6 3.5
8 days ago 4 months ago
Haskell Haskell
GNU General Public License v3.0 only BSD 3-clause "New" or "Revised" 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.

language-docker

Posts with mentions or reviews of language-docker. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning language-docker yet.
Tracking mentions began in Dec 2020.

nevada-revised-statutes-parser

Posts with mentions or reviews of nevada-revised-statutes-parser. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing language-docker and nevada-revised-statutes-parser you can also consider the following projects:

cmake-syntax - A library for parsing CMake syntax

language-avro - Language definition and parser for AVRO (.avdl) files.

miso-from-html - Lex, parse and pretty print HTML as Miso View syntax

yaml-combinators

binary-parser - A highly-efficient but limited parser API specialised for bytestrings

language-js - Parser for es6 and es7.

rpki-prover - Yet another RPKI validator

language-puppet - A library to work with Puppet manifests, test them and eventually replace everything ruby.

glabrous - A minimalistic Mustache-like syntax, truly logic-less, pure Text DSL template library

json-autotype - Automatic Haskell type inference from JSON input