whereismyai
Daft
Daft is a high-performance data engine for AI workloads that processes video, images, audio, and structured data at scale.
Daft provides a Python DataFrame API for handling multimodal data. Users process video, images, audio, and sensor data alongside structured metadata within a single DataFrame structure. The engine executes CPU and GPU tasks in one pipeline, handling scheduling and batching automatically. It integrates with models from OpenAI, Hugging Face, or custom user models. The core is written in Rust and uses Apache Arrow for memory efficiency, allowing users to move from local development to production clusters without code rewrites.
Daft at a glance
- Best for: Software engineer
- Runs on: open source
- Pricing: Open-source (Apache 2.0 license)
- Released: April 2022
- Category: AI coding tool
- Website: daft.ai
Key features
- Native support for images, video, audio, and embeddings
- Unified CPU and GPU pipeline execution
- Python DataFrame API compatible with Pandas and Spark
- Zero-copy execution via Apache Arrow
- Automatic batching and error handling for user-defined functions
- Consistent performance from local machines to distributed clusters
- Rust-based core for memory-efficient data processing
Use it for
- Extracting metadata and generating vectors for AI search
- Processing raw multimodal data into training-ready datasets
- Running GPU inference alongside CPU filtering operations
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