Daft is a high-performance data engine for AI and multimodal workloads. This organization brings together the extensions and contributors building on top of it. Community-built extensions connect Daft to your data directly, add new capabilities, and support new workflows.
Main Daft Repository · Documentation · Slack Community · Support
Connect Daft to storage systems and dataset formats.
| Extension | Description | Repo Org |
|---|---|---|
| daft-lance | Read, write, compact, index, and manage Lance datasets with Daft. | daft-engine |
| pypaimon | Python library for Apache Paimon. Includes a Daft extension to read and write tables with pushdown and catalog support. | apache |
| vast-daft | VastDB source, sink, and catalog integration with projection and predicate pushdown. | vast-data |
| daft-qdrant | Write vector embeddings and payloads into Qdrant collections. | qdrant-labs |
| daft-doris | Apache Doris connector for reading and writing data. Alpha. | apache |
Extend workflows involving images, audio, video, and other multimodal data.
| Extension | Description | Repo Org |
|---|---|---|
| daft-mmops | Multimodal helpers and operations for Daft. | daft-engine |
| teraflopai-daft | Expressions for Teraflop AI NLP services, including text segmentation and search. | teraflop-ai |
Add specialized processing capabilities to Daft.
| Extension | Description | Repo Org |
|---|---|---|
| daft-geo | Geospatial data types and functions for Daft. | daft-engine |
| daft-graph | Graph processing algorithms using Daft. | daft-engine |
| daft-html | Tools for working with HTML documents in Daft. | daft-engine |
| daft-h3 | Native H3 geospatial indexing, traversal, and distance functions. | gweaverbiodev |
Connect Daft to the broader Python data ecosystem.
| Extension | Description | Management |
|---|---|---|
| narwhals-daft | Use the Narwhals expression API with Daft. | narwhals-dev |
Have a connector, algorithm, or workflow to share? Help grow the Daft extension ecosystem.
- Start with the Python extension template.
- Contribute features, examples, documentation, or fixes to an existing extension.
- Share ideas and ask questions in Daft Discussions.
See each extension’s README for installation, usage, and contribution instructions.