CGraph is a high-performance, cross-platform Directed Acyclic Graph (DAG) framework implemented in pure C++ with no third-party dependencies, designed for building complex task pipelines and parallel execution workflows. It allows developers to model computational processes as graph structures, where nodes represent tasks and edges define dependencies, enabling efficient scheduling and execution. The framework includes a pipeline system that supports sequential and parallel execution, conditional branching, aggregation, and loop control, making it highly flexible for advanced workflows. Developers can extend the system by defining custom nodes and grouping them into logical structures, allowing fine-grained control over execution behavior. CGraph also supports features such as pausing, resuming, and timeout management, which are critical for real-world systems requiring robustness and reliability.

Features

  • Pure C++ DAG execution framework with no dependencies
  • Parallel and sequential task scheduling via pipelines
  • Support for conditional logic, loops, and task grouping
  • Cross-platform compatibility including Windows, Linux, macOS, and Android
  • Python API for building pipelines in a higher-level language
  • Advanced execution controls like pause, resume, and timeout

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License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C++

Related Categories

C++ Artificial Intelligence Software

Registered

5 days ago