flexsearch
regex-benchmark
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flexsearch | regex-benchmark | |
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12 | 9 | |
11,862 | 309 | |
4.4% | - | |
7.1 | 0.0 | |
4 months ago | 15 days ago | |
JavaScript | Dockerfile | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
flexsearch
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Nextra 2 – Next.js Static Site Generator
Full-text search is powered by FlexSearch and Nextra will index all of your pages at build time ⚡.
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How to link search results back to original HTML when clicked?
I have a web page that reads in various .md files and displays them as HTML. The app uses the marked library to convert the markdown into HTML for display. I create a flexsearch search index out of the raw text values from the documents (raw text is gathered using DOMParser over all HTML elements) so that user can search for keywords in the docs and get back a table of results. The order of operations and search index code looks like:
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How can I set up this Typescript project to use a Javascript library?
I am trying to get flexsearch (a lib written in js) up and running in a TS project and found a working example here. I downloaded the project and ran 'yarn add flexsearch' and also 'yarn add @/types/flexsearch' since I know that you need a special index.d.ts file to convert the JS to TS properly.... however the code errors out during the Index object creation with the message.
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Best way to implement a search feature over raw HTML using Typescript/React?
Try using a proper browser search like Lunr or Flexsearch
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Lyra: Fast, in-memory, typo-tolerant, full-text search engine in TypeScript
Current version of FlexSearch (0.7.2) is not typo tolerant, see https://github.com/nextapps-de/flexsearch/issues/118
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Writing a Fuzzy Search Component With Preact and Fuse for Astro
Very nice! Seems to perform very well. I'm curious, have you compared Fuse with other search engines? Like flex search or elasticlunr? Why did you choose fuse ?
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Comparing English and Spanish Words in JavaScript
I actually looked into this term before localeCompare(): Full Text Search. It's pretty heavy duty. In JavaScript, this can come in the form of a library dependency like FlexSearch. Far too bulky for the humble sorting task I have at hand.
- Quick live-search on 1M strings in React native
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In memory full text search in Rust?
Javascript seems to have a comprehensive in memory solution https://github.com/nextapps-de/flexsearch
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DynamoDB full text search
Another option that was often suggested to me was building the search index with a library such as https://github.com/nextapps-de/flexsearch and distribute the index than to the client and handle it one the client. But yeah sounds like a lot of overhead and I haven't tried it.
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?
minisearch - Tiny and powerful JavaScript full-text search engine for browser and Node
hyperscan - High-performance regular expression matching library
Fuse - Lightweight fuzzy-search, in JavaScript
regex - An implementation of regular expressions for Rust. This implementation uses finite automata and guarantees linear time matching on all inputs.
elasticsearch-js - Official Elasticsearch client library for Node.js
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
itemsjs - Extremely fast faceted search engine in JavaScript - lightweight, flexible, and simple to use
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!
TNTSearch - A fully featured full text search engine written in PHP
raku-course
lunr.js - A bit like Solr, but much smaller and not as bright
rakudo-appimage