A Rust implementation of Apache Spark's GraphFrames using Apache DataFusion. This project provides graph processing capabilities on top of DataFusion's DataFrame API.
This project aims to bring the power of GraphFrames to the Apache DataFusion ecosystem by leveraging DataFrame capabilities. It provides a similar API to Apache Spark's GraphFrames.
The project is in the early development stage. Currently implemented features include basic graph operations, statistics, and Pregel API.
| Graph Routine | GraphFrames | graphframes-rs |
|---|---|---|
| Graph Abstraction | ✓ | ✓ |
| Basic Statistics (degree, etc.) | ✓ | ✓ |
| Pregel API | ✓ | ✓ |
| Shortest Paths | ✓ | ✓ |
| PageRank | ✓ | ✓ |
| Parallel Personalized PageRank | ✓ | Planned |
| Connected Components | ✓ | ✓ |
| Strongly Connected Components | ✓ | Planned |
| Triangle Count | ✓ | Planned |
| Label Propagation | ✓ | Planned |
| Breadth-First Search | ✓ | Planned |
| Aggregate Messages | ✓ | Planned |
| SVD++ | ✓ | Planned |
| Pattern Matching | ✓ | Planned |