1 Repo
Awesome GitHub RepositoriesSub-Graph Composition
Techniques for grouping dataflow nodes into nested, reusable modules that can be expanded during build.
Distinct from Module Composition: Specific to the structural composition of dataflow graphs, unlike generic AI module composition.
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Awesome Sub-Graph Composition GitHub Repositories
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- dora-rs/dora
dora-rs/dora
2,929Auf GitHub ansehenDora is a robotics dataflow framework and distributed orchestrator used to build and manage processing pipelines. It enables the deployment of robotics workloads across clusters with remote node execution and provides a real-time data pipeline for predictable performance. The system is distinguished by its support for multi-language nodes written in Rust, Python, C, or C++ that interoperate within a single dataflow. It utilizes a zero-copy shared-memory transport and columnar formats to minimize latency for large payloads, and it includes bidirectional bridges to integrate with external ecosy
Enables grouping sub-graphs into standalone files that can be nested and expanded during the build process.
Rustdataflowembodied-ailow-latency
