lunr.js
regex-benchmark
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lunr.js | regex-benchmark | |
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14 | 9 | |
8,778 | 309 | |
- | - | |
0.0 | 0.0 | |
almost 2 years ago | 17 days ago | |
JavaScript | Dockerfile | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
lunr.js
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Ask HN: What's the best way to add search to my website?
If your content is mostly static, you might want to consider pre-building an index and shipping it as a whole. You could look into something like
* https://stork-search.net/ (Rust/WASM)
* tinysearch: https://github.com/tinysearch/tinysearch (Rust/WASM)
* https://lunrjs.com/ (JS, simple, stable)
* http://elasticlunr.com/ - based on the former, slightly more sophisticated tuning options
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How do people make basic AWS sites so cost effectively? How do they limit users from making their budget insane? Am I missing something?
Also search results can be pre-indexed and stored in a Json file. Just as an example. https://lunrjs.com/
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Transcripts
Would anyone be willing to help make this more accessible and clean? I have some front-end dev experience, but it would be cool to work together with people to make sure we have something that makes sense and looks nicer than what I could do myself. As for functionality, searching on GitHub directly seems to work pretty well, but it might be better to have a page and a search feature maybe using something like Lunr. I would also like to create some sort of easy "API" in case Matt wants to embed some transcripts on his website. It would be cool if it would be as easy as just adding a blank div with a special id and a data attribute with the episode number on the Squarespace page.
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Search my site?
which is open source, appears to be free, and claims that it can run in the browser
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Meilisearch v1.0 – the open-source Rust alternative to Algolia and Elasticsearch
Is there a way to run it in WASM, to get something like Lunr[1]? We prefer to do our (small-index, <2MB) search client-side for a bunch of reasons, currently using Lunr.js, but it's a bit annoying and the typeahead search is something I improvised and not really official.
[1] https://lunrjs.com/
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How can I search contents of a Secure Note?
To ensure cross-platform compatibility, Bitwarden uses Lunr.js for searching. This search engine is a bit quirky, and difficult to get used to.
- Best library to implement fuzzy search for a large database?
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Autocomplete
Slightly more js work required, but this should a more customisable solution: https://lunrjs.com/
- Self-Contained Search for Archived Static Site?
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Old World Data Explorer: now with search!
OWDX runs entirely in the browser; as such, it cannot offer cutting-edge search functionality of the sort you'd find in a search engine or an expensive piece of enterprise software. The search library I'm using — lunr.js, for anyone who's interested — does, however, offer a nice set of core functionality and a modest but handy query language.
regex-benchmark
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Best regexp alternative for Go. Benchmarks. Plots.
Before we start comparing the aforementioned solutions, it is worth to show how bad things are with the standard regex library in Go. I found the project where the author compares the performance of standard regex engines of various languages. The point of this benchmark is to repeatedly run 3 regular expressions over a predefined text. Go came in 3rd place in this benchmark! From the end....
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Rust vs. Go in 2023
* Let you clone a map without rehashing every key to a new seed. I generally measure at least 15x speedup from this alone, unlocking very useful design patterns like "clone a map and apply a few temporary updates for a one-off operation like validation or simulation" with no extra code complexity. Go gives you no better option than slowly rehashing the entire map.
And that's just hash maps. How about Go's regex engine being one of the slowest in the world while Rust's regex crate being one of the fastest:
https://github.com/mariomka/regex-benchmark#optimized
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Regex for lazy developers
Languages Regex Benchmark
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Elon is your new boss, time to refactor!
Java is still pretty bad compared to C# (not to mention Rust or Nim)
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Lyra: Fast, in-memory, typo-tolerant, full-text search engine in TypeScript
https://github.com/mariomka/regex-benchmark
And the always interesting techempower Project, which leaves the implementation to participants of each round. https://www.techempower.com/benchmarks/#section=data-r21&tes...
Choose whatever category you wish there, js is faster in then go in almost all categories there.
Even though I said it before, I'm going to repeat myself as I expect you to ignore my previous message: the language doesn't make any implementation fast or slow. You can have a well performing search engine in go, and JS. The performance difference will most likely not be caused by the language with these two choices. And the same will apply with C/Rust. The language won't make the engine performant creating a maximally performant search engine is hard
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i'd like you to meet regex-
Also, regex engines are not created equally, at all. One of the best writeups I've ever read is from the ripgrep blog. Burntsushi knows regex. There's also this benchmark site which illustrates how general language performance is an entirely different metric than regex performance. Don't assume those benchmarks will cover your particular use case, though--different regex engines might handle your particular situation differently.
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Go performance from version 1.2 to 1.18
Interesting. Looking at this repo, they have
Rust -> Ruby -> Java -> Golang
https://github.com/mariomka/regex-benchmark
Though it appears the numbers are two years old or so, and only for 3 specific regexes.
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Hajime can now get hardware information about your MC server, all from Minecraft itself!
id also be careful in claiming C++ std regex is faster than python, unless you actually have proof. there's a ton of information that in many cases its actually slower. https://github.com/mariomka/regex-benchmark. have you actually benchmarked your code? or was it just a naive assumption that because its C++ its just fast?
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A Complete Course of the Raku programming language
It is a matter of personal preference.
I find that regular expressions and text-wrangling tasks are faster and easier in Perl than in other programming languages due to its accessible syntax and regular expression engine speed.
This article shows the regular expression syntax in several popular programming languages: https://cs.lmu.edu/~ray/notes/regex/
This GitHub repo gives some regex performance test benchmarks: https://github.com/mariomka/regex-benchmark Perl is pretty fast among the scripting languages that were benchmarked.
If you are familiar with C / C++, then learning Perl is relatively fast and easy: https://perldoc.perl.org/perlintro
What are some alternatives?
flexsearch - Next-Generation full text search library for Browser and Node.js
hyperscan - High-performance regular expression matching library
minisearch - Tiny and powerful JavaScript full-text search engine for browser and Node
regex - An implementation of regular expressions for Rust. This implementation uses finite automata and guarantees linear time matching on all inputs.
orama - 🌌 Fast, dependency-free, full-text and vector search engine with typo tolerance, filters, facets, stemming, and more. Works with any JavaScript runtime, browser, server, service!
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
fuzzysort - Fast SublimeText-like fuzzy search for JavaScript.
whoosh - Pure-Python full-text search library
raku-course
Lyra - A simple to use, composable, command line parser for C++ 11 and beyond
rakudo-appimage