Jay Chia & Sammy Sidhu: Daft - The Distributed Python Dataframe for Complex Data

Daft is an open-sourced distributed dataframe library built for "Complex Data" (data that doesn't usually fit in a SQL table such as images, videos, documents etc).

Experiment Locally, Scale Up in the Cloud

Daft grows with you and is built to run just as efficiently/seamlessly in a notebook on your laptop or on a Ray cluster consisting of thousands of machines with GPUs.

Pythonic

Daft lets you have tables of any Python object such as images/audio/documents/genomic files. This makes it really easy to process your Complex Data alongside all your regular tabular data. Daft is dynamically typed and built for fast iteration, experimentation and productionization.

Blazing Fast

Daft is built for distributed computing and fully utilizes your all of your machine's or cluster's resources. It uses modern technologies such as Apache Arrow, Parquet and Iceberg for optimizing data serialization and transport.

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[erickheredia]

Interesting. I'll keep an 👁on this library. Good luck guys!

[paulallen]

Really appreciate this framework for handling complex data. Excellent work thank you!

[nmstoker]

Interesting

You're aware of the slightly humourous alternate meaning of the word "daft" right?! 😃
It's no big deal but initially thought this was an early April Fool but there was no mention at all 🙁