Litestar

Hey Litestar Community!

Exciting news! We've just launched a new apparel line. Now you can show off your Litestar spirit with branded t-shirts, hoodies, and sweatshirts.

We've teamed up with Bonfire to bring you top-notch apparel that's perfect for coding sessions, tech meetups, or just chilling out. Each piece showcases a sleek Litestar design that keeps it professional yet casual.

Exciting news out in the Litestar ecosystem!

Evidently, the open-source machine learning observability platform, has migrated from FastAPI to Litestar!

What is Evidently AI?

From the horses mouth:

Evidently AI allows you to evaluate, test, and monitor machine learning (ML) models from validation to production. From tabular data to natural language processing (NLP) and large language models (LLM). Built for data scientists and ML engineers.

The site you're on now - Polar.sh - enhances what we can do as open source maintainers and with the advent of the Polar GitHub integration, we can expect Polar to skyrocket in use!

From a maintainer standpoint, Polar gives us some great, well polished features including:

On the 2023-08-21, after about 7 months of intense development, Litestar 2.0 was released! Let's talk about it.

What's new?

Let's start this off with a non-exhaustive list of a few particularly noteworthy features:

• All new DTOs, with support for dataclasses, Pydantic, [attrs][attrs], msgspec, and SQLAlchemy, allowing easy on-the-fly data transformation, greatly reducing the boilerplate needed to set up validation and serialization schemas