Skip to content

earth2marsh/query-parse-suite

 
 

Repository files navigation

Query Parse Suite

Project Description

The Query Parse Suite is a comprehensive toolkit designed to simplify and enhance the process of parsing querie strings across various programming languages. Leveraging multiple frameworks and languages, this suite aims to offer robust solutions for parsing needs in diverse development environments.

Motivation

This project was initiated to address the challenges associated with parsing complex queries in different programming environments. Its goal is to provide a unified, easy-to-use set of tools that can be integrated into various projects, enhancing the efficiency and accuracy of query parsing.

Installation

To install the Query Parse Suite, clone the repository using the following command:

git clone https://github.com/hudlow/query-parse-suite.git

Then navigate to the project directory and follow the setup instructions specific to each framework and language included in the suite.

Usage

Instructions for using the suite vary depending on the specific language or framework. Please refer to the documentation within each subdirectory for detailed usage guidelines.

Features

  • Supports multiple languages including Ruby, JavaScript, Python, and Java.
  • Includes various frameworks for enhanced parsing capabilities.
  • Flexible implementation suitable for diverse parsing requirements.

Contributing

Contributions to the Query Parse Suite are welcome. Please submit pull requests with your proposed changes or enhancements.

License

Apache-2.0 license

Contact

For questions or feedback regarding the Query Parse Suite, please open an issue in the GitHub repository.

FAQs

Q: Which programming languages does the suite support?
A: The suite currently supports Ruby, JavaScript, Python, and Java, among others.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Ruby 45.0%
  • JavaScript 13.8%
  • Python 12.9%
  • HTML 10.3%
  • Java 3.8%
  • CSS 3.5%
  • Other 10.7%