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Apache TinkerPop is an open-source graph computing framework that provides powerful tools to developers to build and analyze graph-based data structures. It offers a standardized way to work with graphs, regardless of their underlying storage system, and enables users to perform complex graph traversals and computations across distributed datasets. TinkerPop is widely used in graph databases, machine learning, network analysis, and other applications that require graph processing capabilities. Some of the key features of TinkerPop include support for multiple programming languages, extensible graph traversal language, and seamless integration with various backends such as Apache Cassandra, Hadoop, and Amazon Neptune.

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