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A Python library built on Daft for turning robot video into training-ready data, starting with hand tracking and reward scoring as UDFs, with more to come.

Daft v0.7.14 rewrites the Parquet reader on arrow-rs for up to 17x faster remote reads, ships streaming distributed limits, and adds native UUIDv7 generation.

Three Daft releases cut May 12–15. Bidirectional streaming ASOF joins, Arrow PyCapsule, Iceberg idempotent commits and table properties, Spark month arithmetic.

How we built, broke, and re-built our ASOF joins — 5.5x faster, half the memory of pandas, and scaled to a distributed cluster.

daft.VideoFile decodes only the frames you need. Keyframes, time-sampled, or windowed seek, built for robotics datasets, dashcams, and moderation queues.

Jim Fan argues robotics will follow the exact LLM playbook - and VLAs are already being replaced by World Action Models.

Physical AI has become a real trend, but is there something real here or is it just hype?

Daft now supports native extensions via Apache Arrow's C Data Interface. daft-h3 is the first community extension — 9 Rust-native H3 geospatial functions, 3–16x faster than Python UDFs.

30 contributors shipped Daft v0.7.10 — the most participation in any Daft release to date. The result: 41 new features and functions across distributed joins, duplicate detection, temporal arithmetic,

How to transcribe thousands of audio files with Whisper using daft.AudioFile — handling resampling, silence splitting, and worker-resident model loading without the boilerplate.