Alternatives
Products that do what Justif – Knuth-Plass justification and microtypography for the web does
Justif is a drop-in JavaScript library that progressively enhances web pages to TeX-level text justification. Installation is a single line, standard text and accessibility affordances are unchanged, and users with JS disabled get native browser rendering. I made justif because I've long been a fan of justified text. I think it looks clean and elegant, and makes reading more enjoyable. But bad justification is the opposite, with gaping spaces that distract me to the point of making the text near unreadable. Browsers have got better recently at handling justified text [0][1], but still use…
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Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
2023 · github.com
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2020 · ihateregex.io
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2020 · bennettfeely.com
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Hello HN! I became frustrated with the unpredictible/poor match quality and opaqueness of "relevance scores" in existing fuzzy and fulltext search libs, so I tried something different and this is the result. The main selling point is the result quality / ordering, with best-in-class memory overhead and excellent performance being bonuses. The API is pretty stable at this point, but looking for feedback before committing to 1.0. TL;DR The test corpus is a 4MB json file with 162k words/phrases, so give it a second for initial download. You can also drag/drop your own…
2022 · github.com
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2017 · github.com
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2016 · saola.in
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We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…
Mar 2026 · github.com
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I always had a sweet tooth for how easy it is to use google/benchmark, but when working with js, current libraries didn't feel right and some were not even accurate enough, so I decided to create my own library to make JavaScript benchmarking tooling better. With more free time, I finally implemented all features I wished for in 1.0.0 and made a lightweight C++ single-header version for moments when google/benchmark is too much. Hope this library helps you as much as it does me.
2024 · github.com
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Typed, functional (folds, scans) stream processing backed by Andrew Gallant/burntsushi's regular expressions library. There's a guide here! https://vmchale.github.io/jacinda/
2024 · hackage.haskell.org
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2021 · skruv.io
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2020 · github.com
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Took a stab at building my own string diffing JS package. I built an interactive demo for TypeIt’s website (https://typeitjs.com/build-your-own) a while back. The approach I took to handle user input necessitated a way to calculate the difference between the versions of a user’s text input. I searched around for a package to help me out and found a couple of good ones (like fast-diff), but I either didn’t really like their API or didn’t want to take on a huge new dependency. Instead, I thought I’d give it a shot myself (famous last words). I dove into it having no real formal…
2022
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I made this app to write books chapter by chapter, while taking & browsing through temporary notes for each chapter. The leftmost sidebar is the list of chapters. The sidebar to the right of that is the list of editors in the current chapter. The UI & UX are a bit weird, but they have a basic logic to them.
2025 · zeminary.com
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I've written Mojibake because I don't like the other Unicode libraries for Unicode support. It consists of only two amalgamation files: mojibake.h and mojibake.c. I've added all the most important Unicode algorithms, such as normalization, case conversion, segmentation, bidirectional text, collation, confusable, and others. I regularly test it in these OSes: Linux, macOS, FreeBSD, OpenBSD, NetBSD, and Windows 11. You can find a WASM demo on that site of all the public API functions and the documentation. If you want to participate, feel free to do it. Any kind of help is welcome. Check the…
Jul 2026 · mojibake.zaerl.com
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