tangram
js-framework-benchmark
tangram | js-framework-benchmark | |
---|---|---|
22 | 64 | |
1,310 | 6,484 | |
- | - | |
9.6 | 9.8 | |
about 2 years ago | 4 days ago | |
Rust | JavaScript | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
tangram
- Tangram open sourced their package manager code
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Train a Machine Learning Model to Predict the Programming Language in a Code Snippet
Head over to https://www.tangram.dev and give it a try!
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Writing the fastest GBDT libary in Rust
In this post, we will go over how we optimized our Gradient Boosted Decision Tree library. This is based on a talk that we gave at RustConf 2021: Writing the Fastest Gradient Boosted Decision Tree Library in Rust. The code is available on GitHub.
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What machine learning can learn from Ruby on Rails
You can check out the Tangram Ruby Gem. We built it using Ruby FFI and the source is available on our GitHub repo.
- Any role that Rust could have in the Data world (Big Data, Data Science, Machine learning, etc.)?
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Examples of Rust front-end web works
We are using Rust for our web application and website at Tangram. You can view the source here: https://github.com/tangramdotdev/tangram/tree/main/crates/www. The website is at https://www.tangram.dev. We decided to write our own web framework because we needed server rendering and we wanted to use the builder pattern in creating components. Here is an example component for our Logo to get a sense of what this looks like: https://github.com/tangramdotdev/tangram/blob/main/crates/www/ui/logo.rs
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Multi-language library support: Is it possible?
Check out https://github.com/tangramdotdev/tangram.
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Ask HN: Who is hiring? (October 2021)
Tangram | Senior Rust Programmer | Remote | https://www.tangram.dev
Tangram is an all in one machine learning framework designed for programmers. With Tangram, developers can train models and make predictions on the command line or with libraries for languages including Elixir, Go, JS, Python, Ruby, and Rust, and learn about their models and monitor them in production from a web application. To learn more about what the product does, watch the demo on the homepage at https://www.tangram.dev or check it out on GitHub at https://www.github.com/tangramdotdev/tangram.
We are looking to grow our engineering team with senior Rust programmers. We are currently based in Boston, MA but are looking to build a remote team. At Tangram, you'll get to work on everything from our core machine learning algorithms to writing front-end code in Rust! We are looking for developers with experience in Rust and familiarity with or willingness to learn machine learning concepts. If this sounds exciting, email me (Isabella, cofounder) at [email protected].
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Seed – A Rust front-end framework for creating fast and reliable web apps
We chose to use Rust instead of TypeScript for the front end of https://github.com/tangramdotdev/tangram.
This allows us to:
* Share code with our server written in Rust.
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How far along is the ML ecosystem with Rust?
I'm working on machine learning in Rust at Tangram. We currently only provide an implementation of linear models and gradient boosted decision trees but will move into exposing training of deep models in the future. You can check out Tangram here: https://github.com/tangramdotdev/tangram. You may also be interested in checking out Linfa https://github.com/rust-ml/linfa. If you're interested in the future of machine learning in Rust, check out Luca Palmieri's blog post: https://www.lpalmieri.com/posts/2019-12-01-taking-ml-to-production-with-rust-a-25x-speedup/
js-framework-benchmark
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Popularity is not Efficiency: Solid.js vs React.js
JavaScript benchmarks are instruments for measuring the speed and effectiveness with which a JavaScript engine—such as the ones found in web browsers—can complete particular tasks. Benchmarks are used by developers and browser vendors to evaluate various engines, find places in the code where improvements are needed, and make sure JavaScript standards are being followed.
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Use any web browser as GUI, with Zig in the back end and HTML5 in the front end
Strange then that frameworks advertise how fast they are at rendering, mutating, and creating objects in the DOM, and one of the main JS benchmarks everyone likes to measure their performance by is literally a benchmark about DOM manipulation: https://github.com/krausest/js-framework-benchmark
Oh wait. It's not strange. Because state manipulation is a largely solved problem, and even the least performant state manipulation is blazingly fast. However, presenting components in the browser's DOM is tens of magnitudes of orders less performant than anything you can throw at state manipulation.
And every single framework is busy solving one single problem: how do we touch the DOM as little as possible?
- JavaScript-Framework-Benchmark
- GitHub - krausest/js-framework-benchmark: A comparison of the performance of a few popular javascript frameworks
- JavaScript Framework Benchmark
- Vue 3 now outperforms Svelte and React
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Vue 3 is currently performing better than Svelte and React
It literally says at the bottom "Data from https://krausest.github.io/js-framework-benchmark/"
- Cample.js benchmark reactivity without VDOM
- Rust é uma linguagem que embora tenha uma curva de conhecimento considerável, entrega vários benefícios como segurança e produtividade, reduzindo consideravelmente a verbosidade
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Imperative - 1.5kb React alternative using Generators
The standard benchmark for js frameworks would be best: https://github.com/krausest/js-framework-benchmark
What are some alternatives?
wtpsplit - Code for Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation
mikado - Mikado is the webs fastest template library for building user interfaces.
daisyui - 🌼 🌼 🌼 🌼 🌼 The most popular, free and open-source Tailwind CSS component library
sycamore - A library for creating reactive web apps in Rust and WebAssembly
rust-plus-golang - Rust + Go — Call Rust code from Go using FFI
yew - Rust / Wasm framework for creating reliable and efficient web applications
openidconnect-rs - OpenID Connect Library for Rust
imba - 🐤 The friendly full-stack language
code - Source code for the book Rust in Action
solid - A declarative, efficient, and flexible JavaScript library for building user interfaces.
tangram - WebGL map rendering engine for creative cartography
Svelte - Cybernetically enhanced web apps