Statistics for topic dataflow-programming
RepositoryStats tracks 576,249 Github repositories, of these 34 are tagged with the dataflow-programming topic. The most common primary language for repositories using this topic is C++ (12).
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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。
:link: C++17 network / graph visualization library - Qt6 / QML node editor.
Visual scripting framework for python - https://wonderworks-software.github.io/PyFlow
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。
Python Flow Based Programming environment that provides a graphical programming environment.
:link: C++17 network / graph visualization library - Qt6 / QML node editor.
Visual scripting framework for python - https://wonderworks-software.github.io/PyFlow
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。
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。
PaRSEC is a generic framework for architecture aware scheduling and management of micro-tasks on distributed, GPU accelerated, many-core heterogeneous architectures. PaRSEC assigns computation threads...
The Refreshingly Simple Cross-Platform C++ Dataflow / Patching / Pipelining / Graph Processing / Stream Processing / Reactive Programming Framework
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。
🌊 Dataflow programming language with static types and implicit parallelism. Compiles to native code and Go
Visio is an AI-powered IDE concept that turns software development into a visual, code-free experience, making programming accessible to everyone.