v0.0.1

pregel-rs is a graph processing library written in Rust, providing a flexible Pregel-based Framework for implementing your own graph algorithms in a message-passing fashion.

Built with efficiency and scalability in mind, pregel-rs is designed to handle large-scale graphs, making it ideal for processing complex graph data in applications such as social networks, recommendation systems, and network analysis.

Key Features of pregel-rs v0.0.1:

• Pregel-based Framework: pregel-rs provides a high-level Pregel-based framework that simplifies the implementation of graph algorithms by allowing users to express their computations as vertex-centric programs.
• Message-Passing Model: pregel-rs uses a message-passing model to enable efficient and scalable graph processing. Vertices communicate with each other by exchanging messages, allowing for parallel processing and distributed computation.
• Rust Language: pregel-rs is written in Rust, a systems programming language known for its safety, concurrency, and performance. Rust's features make pregel-rs a reliable and efficient choice for graph processing tasks.
• Customizable Algorithms: With pregel-rs, you can implement your own graph algorithms by defining custom vertex and aggregator functions, allowing for flexibility and adaptability to different graph processing tasks.
• Scalability: pregel-rs is designed to scale efficiently on multi-core processors and distributed systems, making it suitable for processing large-scale graphs with billions of vertices and edges.

We're excited to share this initial release of pregel-rs with the community and look forward to your feedback! Get started with pregel-rs v0.0.1 by checking out the documentation and examples in the GitHub repository. Happy graph processing with pregel-rs!