search-query

Parse search queries into structured data with field searches, boolean logic, ranges, lists, and adapters.

A high-performance search engine that crawls, indexes, and ranks web content that supports Boolean query, phrase searching, and an attractive web interface

A small, fast, local-first, searchable index for client side apps written in Typescript. Supports required, negated, and phrase queries.

An open-source Python tool for advanced SEO Keyword Clustering. It performs SERP Clustering by analyzing URL overlap and includes a planned feature for local Semantic Clustering. Built with Streamlit, this application helps SEOs create topical clusters while minimizing API costs through an intelligent cache.

Netflix clone is a project based on Swift 5 , where a user view Trending Movies , Trending Shows , Popular Movies , Upcoming Movies in Home View. Also he can watch & download movies & tv shows.

An easy-to-use interface for making requests to the Blogger Feeds API. Search and paginate your posts, comments and pages in few steps.

Functionality of designing a search query based autocomplete system - for search engines

Telegram WebNotifier is a browser extension designed to keep you informed about webpage activity in real-time

A lightweight search query execution engine in C++

Simple and powerful parser for advanced search queries

Fluent, composable builder for crafting search dorks in Go

transform any search box / search term query into an advanced multi-field search with custom search operators (PHP, Node/XPCOM/JS, Python)

A Go package that extracts the search term from a Google search URL.

This project is describes about how to implement search data based on query params

Java-Based Search Engine

Show results based on the search query that is show all the results if search bar is empty otherwise show results based on search query.

A search query generator using ChatGPT and Bard for testing purposes. Uses PyQt5 to add a UI.

🎥 🎬🍿A Movie Recommender System is a machine learning project designed to suggest movies to users based on their preferences and past interactions. This project typically leverages popular datasets like MovieLens, utilizing collaborative filtering, content-based filtering, or hybrid approaches to generate personalized recommendations

Easy parser for search query strings, for you to use in your filters.