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Based on our record, jQuery seems to be a lot more popular than Sphinx Search. While we know about 101 links to jQuery, we've tracked only 10 mentions of Sphinx Search. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Whenever the number of items increased, the browser became slow, sometimes even unresponsive. At first, we thought it was a server issue or maybe too much data. But no — the problem was hiding inside a small line of jQuery. - Source: dev.to / 27 days ago
Ah, jQuery — the library that powered a generation of web apps. - Source: dev.to / about 2 months ago
Then we have callbacks, which were popularized by AJAX calls. Back then, with jQuery, we could define handlers to deal with both success or failure cases. For instance, let's say we want to fetch the HTML markup of this blog (skipping error failure callback for brevity), we do. - Source: dev.to / about 2 months ago
One of them is JQuery created by John Resig. The library addresses extremely-frustrating issues related to cross-browser compatibility that existed at the time. To this day, it remains the most widely used JavaScript library in terms of actual page loads. - Source: dev.to / 4 months ago
The once popular jQuery, with its strengths fully utilized in jQuery UI and Bootstrap, provides many UI components and is also friendly to backend developers, seemingly meeting the requirements. However, looking at their component implementation and resource loading forms—. - Source: dev.to / 5 months ago
Sphinx is a search engine that can be integrated into a website to provide advanced search functionality such as full-text, Boolean, and faceted search. It is a powerful open-source search engine that can handle large amounts of data and quickly return results. - Source: dev.to / about 2 years ago
Have been using Sphinx. It does some processing around suffixes, tenses, and so on, and looks at word proximity (BM25), but is definitely limited. Source: about 2 years ago
Lucene is the thing you think you need. Elastic Search is a nice wrapper for it. But these are Java, so maybe you want Sphinx Search (C++) or MeiliSearch (Rust). Source: over 2 years ago
Using a natural language search will almost certainly be a better solution and PHP may not be the best tool for this task. Figure out how you are going to get the text out of the PDF and where you are going to put it. Look at things like sphinx and full text search in boolean mode for doing the keyword matching. Source: almost 3 years ago
In practice though you don't do any of this, you get a library to do it for you. I've used Sphinx Search in the past for some fairly hefty (In the order of terabytes), and there's a good book covering how to get it all set up and started. Source: almost 3 years ago
React Native - A framework for building native apps with React
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
Babel - Babel is a compiler for writing next generation JavaScript.
Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
OpenSSL - OpenSSL is a free and open source software cryptography library that implements both the Secure Sockets Layer (SSL) and the Transport Layer Security (TLS) protocols, which are primarily used to provide secure communications between web browsers and …
Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.