Eventual-Inc/Daft
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
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SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 21 days ago, with 191 contributors on GitHub.
The biggest single-day gain in the last year, +29 stars on Dec 19, coincided with release v0.7.1.
Use Cases & Benefits
- Provides a high-performance distributed query engine for large-scale data processing using Python or SQL, implemented in Rust.
- Delivers efficient multimodal data handling and cloud-native I/O performance with a powerful query optimizer and native integration with Apache Arrow and Ray.
- Use for interactive data exploration and rapid iteration on multimodal datasets like images, audio, and video in notebooks or REPLs.
- Use for building scalable AI pipelines that process and transform complex nested data types across large distributed clusters.
- Use for integrating with cloud storage and data catalogs such as Apache Iceberg to manage and query big data efficiently.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Website <https://www.daft.ai>_ •Docs <https://docs.daft.ai>_ •Installation <https://docs.daft.ai/en/stable/install/>_ •Daft Quickstart <https://docs.daft.ai/en/stable/quickstart/>_ •Community and Support <https://github.com/Eventual-Inc/Daft/discussions>_
Daft <https://www.daft.ai>_ is a distributed query engine for large-scale data processing using Python or SQL, implemented in Rust.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
577+46
Open issues
439+95
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| D4Vinci/Scrapling | 98.1K | +6.9K | 65 | 1 day ago |
| Leonxlnx/taste-skill | 110.7K | +5.2K | 55 | 1 day ago |
| calesthio/OpenMontage | 77.2K | +4.2K | 40 | — |
| heygen-com/hyperframes | 79.6K | +4.1K | 45 | today |
| Eventual-Inc/Daft | 5.8K | — | 64 | 21 days ago |
| Category median | 98.1K | +5.2K | 45 | — |
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