tangram
flamegraph
tangram | flamegraph | |
---|---|---|
22 | 47 | |
1,310 | 4,287 | |
- | 1.5% | |
9.6 | 7.4 | |
about 2 years ago | 13 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
-
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!
-
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.
-
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.)?
-
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
-
Multi-language library support: Is it possible?
Check out https://github.com/tangramdotdev/tangram.
-
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].
-
Seed โ 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.
-
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/
flamegraph
-
Rust Tooling: 8 tools that will increase your productivity
You can install cargo-flamegraph with cargo install flamegraph. There are some underlying requirements to be able to use cargo-flamegraph; you will want to take a look at the repo here to make sure you have the right dependencies.
-
Need help making sense of these benchmark results
I tried to diagnose the issue with flamegraph, but unfortunately the flamegraph didn't show anything beyond the next call for some reason
-
Why is my code so slow ? advent of code 2022, day 16 (basic graph stuff)
having some tools to identify slowness origins (flamegraph is one... but not sure it's the way to go)
-
why is my code so slow ? advent of code 2023, day 16 (basic graph stuff)
I'm currently implementing a solution for the first part of the day 16. It work but it is really slow... I'd like to : - understand why - having some tools to identify slowness origins (flamegraph is one... but not sure it's the way to go) - eventually have some clue/solution/idea - have general feedback on what in my "coding style" is not appropriate for rust (I come from java/kotlin/ts even if I've already coded a bit in c/c++) : for example I love iterator & sequence but i feel they are not really suited to overuse in rust (mostly because of async & result).
-
how expensive is an operation?
Use a profiler. Flamegraph is a good way to visualise profiler output. This lets you identify which functions are taking up a large amount of time - and hence helps you identify where to focus your optimisation efforts.
-
Slow Rust Redis
You tried trying to see what takes the most time under load via flames? https://github.com/flamegraph-rs/flamegraph
- making a virtual machine in rust
-
Need help with rust performance
Well, in cases like that the answer is straight forward, use a profiler like https://github.com/flamegraph-rs/flamegraph
-
superdiff - a way to find similar code blocks in projects (comments appreciated)
I don't see any obvious problems with your algorithm. I've had luck using cargo-flamegraph to identify the slow parts of my code. That's going to show you which parts to focus on improving the performance of!
-
Data-driven performance optimization with Rust and Miri
From the readme of cargo flamegraph:
What are some alternatives?
wtpsplit - Code for Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation
cargo-flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
daisyui - ๐ผ ๐ผ ๐ผ ๐ผ ๐ผ โThe most popular, free and open-source Tailwind CSS component library
tracing - Application level tracing for Rust.
rust-plus-golang - Rust + Go โ Call Rust code from Go using FFI
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
openidconnect-rs - OpenID Connect Library for Rust
hashbrown - Rust port of Google's SwissTable hash map
code - Source code for the book Rust in Action
heaptrack - A heap memory profiler for Linux
tangram - WebGL map rendering engine for creative cartography
snmalloc-rs - rust bindings of snmalloc