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Based on our record, Hugo seems to be a lot more popular than Sphinx Search. While we know about 358 links to Hugo, 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.
This required me to revisit my Hugo website. I opened up the developer tools in Edge to figure out which section was which to decide where I wanted to place my hit counter. - Source: dev.to / 14 days ago
I am not a front-end web developer, and UI/UX design is not one of my skills. So, rather than fumble around trying to make my resume webpage look good, I decided to use a static website generator. I chose to use Hugo, since they have a lot of templates to choose from. - Source: dev.to / about 2 months ago
Hugo Existing themes will get you a website quick, such that you only have to modify color schemes and layouts. - Source: dev.to / 18 days ago
And last but not least, Netlify, which is the one I use to host this website(for free). Hugo + Netlify is a powerful combination. - Source: dev.to / 20 days ago
At one point though I realized there is a scaling problem with my build minutes. I knew that golang has considerably faster builds and in my case the easy fix is swapping over to Hugo. - Source: dev.to / about 2 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 / over 1 year 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: over 1 year 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 1 year 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 2 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 2 years ago
Jekyll - Jekyll is a simple, blog aware, static site generator.
MkDocs - Project documentation with Markdown.
Ghost - Ghost is a fully open source, adaptable platform for building and running a modern online publication. We power blogs, magazines and journalists from Zappos to Sky News.
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.
GitBook - Modern Publishing, Simply taking your books from ideas to finished, polished books.