Alternatives
Products that do what NumPy+Jax Except with Named Axes does
- 1JJ
Jan 2026 · ss.ekzhang.com
- 2JF
(spoiler: its XSLT) I've been working on a little demo for how to avoid copy-pasting header/footer boilerplate on a simple static webpage. My goal is to approximate the experience of Jekyll/Hugo but eliminate the need for a build step before publishing. This demo shows how to get basic templating features with XSL so you could write a blog post which looks like My Article some content hello hello Some properties which set this approach apart from other methods: - no build step (no need to setup Jekyll on the client or configure Github/Gitlab actions) - works on any webserver…
2025 · github.com
- 3UJ
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
- 4MJ
Hey HN, I'd like to share a fun project I've been working on: mizu.js. It's a js library that add functional attributes support into your html, designed to be a simple and flexible alternative to fully-fledged web frameworks (such as Vue, React, and Angular), while offering more capabilities than other lightweight options (like Alpine.js and htmx). As it's written using modern ES features and due to its isomorphic nature, it can be run in both browsers and runtimes (Node, Deno, Bun) without any changes. This makes it ideal for client-side and server-side rendering, as well as static site…
2024 · mizu.sh
- 5
- 6NJ
We're building a different kind of JavaScript engine, based on data-oriented design and willingness to try something quite out of left field. This is most concretely visible in our major architectural choices: 1. All data allocated on the JavaScript heap is placed into a type-specific vector. Numbers go into the numbers vector, strings into the strings vector, and so on. 2. All heap references are type-discriminated indexes: A heap number is identified by its discriminant value and the index to which it points to in the numbers vector. 3. Objects are also split up into object kind -specific…
2024 · github.com
- 7SA
2022 · shalerb.org
- 8ΜA
I built µJS because I wanted AJAX navigation without the verbosity of HTMX or the overhead of Turbo. It intercepts links and form submissions, fetches pages via AJAX, and swaps fragments of the DOM. Single tag, one call to `mu.init()`. No build step, no dependencies. Key features: patch mode (update multiple fragments in one request), SSE support, DOM morphing via idiomorph, View Transitions, prefetch on hover, polling, and full HTTP verb support on any element. At ~5KB gzipped, it's smaller than HTMX (16KB) and Turbo (25KB), and works with any backend: PHP, Python, Go, Ruby, whatever.…
Mar 2026 · mujs.org
- 9DJ
TL;DR: dagger.js is a buildless, runtime-only micro-framework that plays nicely with native Web Components. It uses HTML-first directives (e.g. +click, +load) so you can ship a page by dropping a single from a CDN—no bundlers, no compile step. Why I built it Modern stacks are powerful but often heavy: bundlers, compile steps, framework DSLs, local CLIs. For internal tools, small apps, and edge/serverless deployments, I wanted something you can view-source, paste into a page, and ship. What it is: Runtime-only: no build or VDOM compile; hydrate behaviors directly on HTML. HTML…
Sep 2025 · daggerjs.org
- 10AM
2012 · github.com
- 11FA
Hey HN, I’ve built Fahmatrix, a minimal, fast Java library for working with tabular data — inspired by Python’s pandas, but designed for performance and simplicity on the JVM. After working extensively with Python’s data stack, I often ran into limitations related to speed, especially in larger or long-running data workflows. So I built Fahmatrix from scratch to offer similar APIs for manipulating CSVs, performing summary statistics, slicing rows/columns, and more — but all in Java. Features: Lightweight and dependency-free CSV/TSV import with auto-headers Series/DataFrame…
2025 · github.com
- 12II
It took a while to implement, though now I have generic functions working in Axe. Documentation, repository and site attached.
Dec 2025 · axe-docs.pages.dev
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- 14SJ
Hi HN! I created this lib in the need of a simple and tiny framework to easily do AJAX-style navigation / replacement of fragments in the page, in a web application. For people who don't want to use client-side-rendering and complex frameworks à la React, there are nowadays a few "HTML-over-the-wire" libraries, like HTMX, Unpoly or this super-tiny one Swap.js :) One other key thing is that no external tool is needed: no bundler, no webpack, no TypeScript compiler, no minification needed. Just write HTML, JS (+ your preferred server-side language: PHP, Python, etc.) and it works. The…
2023 · github.com
- 15VF
We’ve just open-sourced Vicinity, a lightweight approximate nearest neighbors (ANN) search package that allows for fast experimentation and comparison of a larger number of well known algorithms. Main features: - Lightweight: the base package only uses Numpy - Unified interface: use any of the supported algorithms and backends with a single interface: HNSW, Annoy, FAISS, and many more algorithms and libraries are supported - Easy evaluation: evaluate the performance of your backend with a simple function to measure queries per second vs recall - Serialization: save and load your index for…
2024 · github.com
- 16MA
I've invented a new alternative to forking / vendoring / monkey-patching packages in Python. It's a bit like OverlayFS for Python modules - it allows you write modifications for a target module (lower) in a new module (upper), and have these combined in a new virtual module (mount). It works by rewriting imports using AST transformations, then running both the lower and upper module's code in the new Python module. This prevents polluting the global namespace when monkey-patching, and means if you want to make changes to a third-party package, you don't have to take on the…
Oct 2025 · github.com
- 17AA
2025 · github.com
- 18IC
2024 · github.com
- 19KH
I've been trying to wrap my head around fwd/bwd kinematics for imitation learning, so I built a fully‑differentiable kinematic hand skeleton in JAX and visualized it with reruns new callback system in a Jupyter Notebook. This shows each joint angle and how it impacts the kinematic skeleton.
2025 · github.com
- 20MS
Hey HN, I’m the author. I built Misata because existing tools (Faker, Mimesis) are great for random rows but terrible for relational or temporal integrity. I needed to generate data for a dashboard where "Timesheets" must happen after "Project Start Date," and I wanted to define these rules via natural language. How it works: LLM Layer: Uses Groq/Llama-3.3 to parse a "story" into a JSON schema constraint config. Simulation Layer: Uses Vectorized NumPy (no loops) to generate data. It builds a DAG of tables to ensure parent rows exist before child rows (referential integrity).…
Dec 2025 · github.com
- 21HW
Hello HN ! I'm Florian, and I would like to share with you a project I've been working on over the past few months: Hyper Workspace. Before working in tech, I have been in the finance industry for more than 10 years. During this time, I've experienced using Excel+VBA and Python notebooks as main interfaces, but never felt completely satisfied. Interfacing potentially complex and nested objects that you need to consume in your applications is still a pain. Modern browsers can offer much more in terms of UI / UX, especially when coupled with JSON data representation, but they require to…
2024 · hyper-workspace.onrender.com
- 22XS
Hi HN. I made a little JS library for streaming structured data from LLMs using leniently-parsed XML as a medium. E.g. await simple('fun pet names', { schema: { name: Array(String) }, model: 'openrouter:mistralai/ministral-3b' }); // => ["Daisy", "Whiskers", "Rocky"] Demos: xmllm.j11y.io When using LLMs, I've ended up gravitating towards boring time-tested XML-esque tag-based delimiters instead of JSON/function-calling for the following reasons: - Diverse presence in training corpuses (consider flavours of content commonly adjacent to these syntaxes vs. JSON) - HTML was…
2024 · github.com
- 23NA
2012 · nunjucks.jlongster.com
- 24TJ
2023 · github.com
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