In the midst of last week’s exciting launch week, we didn’t mention that we released Daft v0.5 with major improvements! We’re focused on making data processing more intuitive and performant. Here’s what’s new: → Native runner is now the default: Better performance out of the box, deprecated PyRunner (use daft.context.set_runner_native()) → Simplified SQL interface: daft.sql(”SELECT * FROM df”, df=df), no more catalog boilerplate → Rust-powered in-memory catalogs: Faster operations, cleaner architecture → Cleaner Catalog API: ie. daft.catalog.read_table → daft.read_table → New deserialize function with support for JSON We’ve kept breaking changes minimal while making substantial improvements to the core engine. If you’re working with multimodal data at scale, the combination of Python ergonomics with Rust performance is worth checking out. → Get started with Daft today:

pip install daft

Here are the full release notes: https://github.com/Eventual-Inc/Daft/releases/tag/v0.5.0