CGraph
A cross-platform, dependency-free C++ and Python DAG framework for building parallel computational graphs.
What is CGraph?
CGraph is a cross-platform Directed Acyclic Graph (DAG) framework for building and executing parallel computational workflows. It allows developers to define tasks as nodes in a graph, specify dependencies between them, and run independent tasks concurrently for optimized performance. The framework is written in pure C++11 with no third-party dependencies and also offers a full-featured Python API.
C++ and Python developers building data pipelines, parallel computation systems, workflow engines, or any application requiring structured task execution with complex dependencies and concurrency.
Developers choose CGraph for its dependency-free design, cross-platform support, and rich feature set—including conditional logic, loops, timeouts, and event handling—all while providing both C++ and Python APIs for flexibility.
Overview
【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流
Use Cases
Best For
- Building parallel data processing pipelines with complex task dependencies
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