wandb VS Gatsby

Weights & Biases — The developer-first MLOps platform. Build better models faster with experiment tracking, dataset versioning, and model management. Free tier for personal projects only, with 100 GB of storage included.

HuggingFace and wandb.ai (both competitors of OpenAI) both also have "do own research"

Wandb is the best! https://wandb.ai/

To track stuff I've used wandb.ai in a company in the past, as someone else pointed out. Regarding metrics... This is really specific to your domain, and it is such a broad question. You could count color pixels, the distribution of intensity histograms, etc etc.

Step 1: The colab notebook uses wandb.ai, so you need to register for a wandb.ai account beforehand if you want to use the colab notebook. After registering you need to go to your homepage and copy the API key and paste/keep it somewhere.

I want to take a look at tools like https://wandb.ai/ and they would integrate into some of the pipelines I'm playing with.

does current cgi and ai tech can bring back leslie nielsen? might use unreal engine and https://www.resemble.ai/ or https://wandb.ai/?

I'm currently working for a MLOps company so I'm heavily using their tools (Weights & Biases) but I've used custom C++ for deployment, Pytorch + fastai for quick experimentation, Weights & Biases for experiment tracking, hyper-parameter tuning + model versioning (hence why I went to work for them), custom database + data pipeline, HoloViz for data visualisation (really nice dashboarding tool), Jenkins for CI/CD, I also love Github Actions.

The first time I started building static websites is when I discovered Gatsby. I built several projects using Gatsby and hosted it on Netlify free tier. It felt like a really robust architecture and I loved that it was free.

A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications.

While Next.js is a powerful framework for building server-rendered React applications, it's not the only option for developers looking to create high-performance websites. One notable alternative is Gatsby, a static site generator that leverages React and GraphQL.

The other piece of important information to acknowledge here is that when we say RSCs need a framework, “framework” effectively just means “Next.js.” There are some smaller frameworks (like Waku) that support RSCs. There are also some larger and more established frameworks (like Redwood) that have plans to support RSCs or (like Gatsby) only support RSCs in beta. We will likely see this change once we get React 19 and RSCs are part of the Stable version. However, for now, Next.js is currently the only framework recommended in the official React docs that supports server components.

GatsbyjsCMS - Gatsby is the fast and flexible framework that makes building websites with any CMS, API, or database fun again. Build and deploy headless websites that drive more traffic, convert better, and earn more revenue!

GatsbyJS

Babel plugins are everywhere. From being used to remove unwanted exports from files in Gatsby to being used to disallow users from doing re-exports in Nextjs.

In terms of GitHub stars, SSGs like Next.js, Hugo, Gatsby, Docusaurus, Nuxt.js, and Jekyll top the list. Some popular SSGs even host conferences and workshops, providing resources and networking opportunities for those looking to explore more advanced topics in depth.

Flexibility : Developers have complete control over the frontend so they can use their preferred tools and frameworks like React, Next.js, Gatsby, or Remix.