l5kit VS deno

Level 5 | Self-driving Research | Palo Alto, US & London, UK & Tokyo, Japan | Full-Time + Interns | Onsite (Hybrid - 2 days in p/w - currently closed)

Level 5 at Woven Planet develops real-time car automation solutions via applied Machine Learning and Computer Vision (SFM, SLAM, 3D Perception etc). The system is adding self-driving capabilities to vehicles with the end goal of providing autonomy features to all cars from the largest car company in the world, Toyota. For more information please read through https://www.self-driving-cars.org

The platform at Level 5 is written in Python & C++. We are an AWS environment with additional use of NumPy, PyTorch, GRPC, Kafka, Kubernetes, Terraform, SageMaker, Spark, Postgres & others. We work in a OneBox cloud environment with continuous deployment and are firm believers in the benefits of open source (https://github.com/woven-planet/l5kit). We apply multiple flavours of ML to petabytes of data; such as Deep Learning, Transformers, Neural Networks & Reinforcement Learning. If you are interested in applying Machine Learning (ML) to real world data - look no further. https://www.self-driving-cars.org/datasets

If you like the idea of working on some of the most challenging problems in applied computer science. We are looking for talent across Data, Computer Vision, Machine Learning, Infrastructure, Research - and of course Software Engineering. Please find our jobs at https://boards.greenhouse.io/l5

NodeJS is the dominant Javascript server runtime environment for Javascript and Typescript (sort of) projects. But over the years, we have seen several attempts to build alternative runtime environments such as Deno and Bun, today’s subject, among others.

https://github.com/denoland/deno/issues is the ideal place -- we try to triage all incoming issues, the more specific the repro the easier it is to address but we will take a look at everything that comes in.

Install Node.js (or Bun, or Deno, or whatever JS runtime you prefer) if it's not there

QUIC is very exciting, after seeing what it can do for performance in Cloudflare network and Cloudflare workers, I can't wait to finally see it in Deno[0] 1.41.

[0] https://github.com/denoland/deno/pull/21942#issuecomment-192...

So as an end user it's kind of like https://deno.com/ where you buy into a runtime + comes prepacked with DBs (k/v stores), scheduling, and deploy stuff?

> by storing Unison code in a database, keyed by the hash of that code, we gain a perfect incremental compilation cache which is shared among all developers of a project. This is an absolutely WILD feature, but it's fantastic and hard to go back once you've experienced it. I am basically never waiting around for my code to compile - once code has been parsed and typechecked once, by anyone, it's not touched again until it's changed.

Interesting. Whats it like upgrading and managing dependencies in that code? I'd assume it gets more complex when it's not just the Union system but 3rd party plugins (stuff interacting with the OS or other libs).

~90MB+ at this stage and do now allow compression without erroring out. Deploying ala Golang is not feasible at that level but could well be down the line if this dev branch is picked up again!

The exe output grew from from ~50MB to plus ~90MB from 2021 to 2024: https://github.com/denoland/deno/discussions/9811 which mean Deno is worse than Node.js's pkg solution by a decent margin.

Behind the scenes is a simple Sveltekit-powered server function to fetch a Spotify client token then find a user's recommendation playlist and its track information. A Deno edge function to performs this data fetch and renders server-side Svelte.

If your application is written in JavaScript, integrating it with JavaScript extensions is a no-brainer. However, Secutils.dev is entirely written in Rust. How would I even begin? Fortunately, I recently came across an excellent blog post series explaining how to implement your JavaScript runtime in a Rust application with Deno: