BundlePhobia Reviews

Apache Solr Reviews

BundlePhobia mentions (51)

• How We Went from 46 to 99 Performance Score to Improve Our Website Speed

  There are some handy tools for identifying and addressing problematic bundles. One of them, Bundlephobia, gives insights into how much an NPM package contributes to bundle size, helping avoid too large collections of files. Import Cost, a VSCode Extension, calculates the 'cost' of imported packages, helping to make informed decisions. As part of our optimization strategy, we've swapped out hefty JS libraries, such... - Source: dev.to / 18 days ago

• JavaScript Habits That Grind My Gears

  So, before adding a dependency to your projects, ask yourself if you truly need it and check how much a package weighs. If you would like to go through cleaning up process, I wrote an article on optimizing Next.js bundle size on my private blog. - Source: dev.to / 9 months ago

• 3 online tools to use for selecting a future-proof NPM library for frontend and Nodejs projects

  🔴 https://bundlephobia.com/ - estimate a footprint, basically how many Kb will be added to your bundle when you add this dependency to your project. Those may differ a lot, try comparing say - dayjs vs momentjs ;. - Source: dev.to / 10 months ago

• Tiptap vs remirror installation sizes

  I have phobia of dependencies and package sizes, so tiptap is 62KB and remirror is 150KB. Not much difference, since difference is no in MB's. Source: 10 months ago

• Add stepper components to your React app

  External packages increase your app bundle size (you can calculate this using BundlePhobia), so adding a third-party package for every development requirement isn’t always a good choice. Also, third-party packages may not completely fulfill your design requirements and may bring features that you don’t even use. Writing your own stepper component is also an option by including only the required features. - Source: dev.to / about 1 year ago

Apache Solr mentions (18)

• Considerations for Unicode and Searching

  I want to spend the brunt of this article talking about how to do this in Postgres, partly because it's a little more difficult there. But let me start in Apache Solr, which is where I first worked on these issues. - Source: dev.to / 2 days ago

• Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌

  Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 10 months ago

• Looking for software

  Apache Solr can be used to index and search text-based documents. It supports a wide range of file formats including PDFs, Microsoft Office documents, and plain text files. https://solr.apache.org/. Source: about 1 year ago

• 'google-like' search engine for files on my NAS

  If so, then https://solr.apache.org/ can be a solution, though there's a bit of setup involved. Oh yea, you get to write your own "search interface" too which would end up calling solr's api to find stuff. Source: over 1 year ago

• Search engine.

  Developers will use their SQL database when searching for specific things like client names, product names, or address search. Now when you want to level up from there and search all tables you better off using a separated server with a specific program like https://solr.apache.org/. Source: almost 2 years ago