Showing 21-34 of 34 projects
Easy Machine Learning is a dataflow-based system for simplifying the application of machine learning algorithms.
Bytewax is a Python library for building scalable, fault-tolerant, and low-latency data processing pipelines.
A flow-based and dataflow programming library for Go.
A simulation and rendering engine built with C++ nodes for vibe coders.
A C++17 network/graph visualization library for Qt6/QML node editor
Provides pre-built Google Cloud Dataflow templates to simplify data processing tasks on the Google Cloud Platform.
ipyflow is a reactive Python kernel for Jupyter notebooks that enables dataflow-style programming.
A Python framework for building data pipelines, web crawlers, and quantitative trading applications.
A microservices-based platform for cloud-native streaming and batch data processing on Cloud Foundry and Kubernetes.
Robust and flexible pipeline tool for scientific and bioinformatics workflows written in Go.
A Pythonic framework for threat modeling, enabling secure development through data flow diagrams and sequence diagrams.
The reactive dataflow runtime that powers Observable Framework and Observable notebooks
Neva is a dataflow programming language and compiler that enables parallel computing with static typing.
A no-code, visual data integration platform for building big data pipelines and workflows.
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