tangram
dropshot
tangram | dropshot | |
---|---|---|
22 | 11 | |
1,310 | 753 | |
- | 1.9% | |
9.6 | 9.4 | |
about 2 years ago | 2 days ago | |
Rust | Rust | |
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 β 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/
dropshot
- Dropshot β expose REST APIs from a Rust program
- Expose REST APIs from a Rust Program
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Tips on Creating a Design-First API Using Rust
Try dropshot by the Oxide Computer team. It generates an open api spec from your rust code directly.
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Warp or Rocket.rs or Actix Web?
What about dropshot. Not much features but very simple and auto generates swagger https://github.com/oxidecomputer/dropshot
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What made you choose the rust web framework you're currently using?
I have used dropshot mostly because of its simplicity.
- Seed β A Rust front-end framework for creating fast and reliable web apps
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New Tokio blog post: Announcing Axum - Web framework that focuses on ergonomics and modularity
i haven't tried it yet, but https://github.com/oxidecomputer/dropshot apparently offers automated OpenAPI generation: https://docs.rs/dropshot/0.5.1/dropshot/struct.ApiDescription.html
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Rust for backend development?
At Oxide we are doing backend development in Rust, with our own framework: https://github.com/oxidecomputer/dropshot/#dropshot
- Dropshot a general-purpose Rust crate for exposing REST APIs
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A web framework I desperately wish there was a Rust equivalent for: FastAPI
Dropshot from Oxide Computer includes openapi generation from code.
What are some alternatives?
wtpsplit - Code for Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation
axum - Ergonomic and modular web framework built with Tokio, Tower, and Hyper
daisyui - πΌ πΌ πΌ πΌ πΌ βThe most popular, free and open-source Tailwind CSS component library
juniper - GraphQL server library for Rust
rust-plus-golang - Rust + Go β Call Rust code from Go using FFI
rust-dominator - Zero-cost ultra-high-performance declarative DOM library using FRP signals for Rust!
openidconnect-rs - OpenID Connect Library for Rust
tonic - A native gRPC client & server implementation with async/await support.
code - Source code for the book Rust in Action
prae - prae is a crate that aims to provide a better way to define types that require validation.
tangram - WebGL map rendering engine for creative cartography
rust-rdom - π A Rust-based simulated DOM (browser-independent replacement for web_sys)