Fully distributed algorithms. GraphFrames scales as well as your Spark Cluster is scaling.

It is built on top of Apache Spark and relies on DataFrame abstraction. It provides built-in and easy to use distributed graph algorithms as well as a flexible APIs like Pregel or …

Aug 11, 2025 · GraphFrames is a package for Apache Spark that provides DataFrame-based graphs. It provides high-level APIs in Java, Python, and Scala. It aims to provide both the …

GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs. It provides high-level APIs in Scala, Java, and Python. It aims to provide both the functionality of …

Aug 11, 2025 · GraphFrames is a package for Apache Spark that provides DataFrame-based graphs. It provides high-level APIs in Java, Python, and Scala. It aims to provide both the …

Oct 3, 2025 · GraphFrames provide simple graph queries, such as node degree. Also, since GraphFrames represent graphs as pairs of vertex and edge DataFrames, it is easy to make …

This quick-start guide shows how to get started using GraphFrames. After you work through this guide, move on to the User Guide to learn more about the many queries and algorithms …

Aug 1, 2025 · Spark deprecating GraphX was the call to action that led us to revive GraphFrames, and we heard it well. We’re building DataFrame implementations of all GraphX components.

Apr 7, 2025 · GraphFrames extends the functionality of GraphX while taking advantage of Spark DataFrames. The extended capabilities include motif finding, DataFrame-based serialization …

Jun 3, 2025 · GraphFrames provides a comprehensive suite of graph algorithms organized into several categories, with implementations that either use native DataFrame operations or …