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DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A revolutionary new dataflow programming language for the AI era, with automatic parallelization and very high standards of static verification
Visual editor for Dataflow programming
A modular implementation of timely dataflow in Rust
An implementation of differential dataflow using timely dataflow on Rust.
Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
Streaming reactive and dataflow graphs in Python
数据流引擎是一款面向数据集成、数据同步、数据交换、数据共享、任务配置、任务调度的底层数据驱动引擎。数据流引擎采用管执分离、多流层、插件库等体系应对大规模数据任务、数据高频上报、数据高频采集、异构数据兼容的实际数据问题。
Easy Data Preparation with latest LLMs-based Operators and Pipelines.
An NL2Pipeline Harness for building AI-ready data workflows.