The gocd-pipeline-builder makes a GoCD pipeline automagically when you push a new git repository to your server.
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Updated
Jan 31, 2020 - Python
The gocd-pipeline-builder makes a GoCD pipeline automagically when you push a new git repository to your server.
Visual circuit builder for designing AI-powered data pipelines. Drag-and-drop soft chips to create chips and workflows for audio, text, and image processing and many other options for even circuit designs with GPT-4, Claude, Kimi, Qwen. 60+ chips, 10 templates, workflow automation like n8n.
AlgoPipe is a fast, lightweight visual pipeline editor built with React, Tailwind, FastAPI, and Pydantic. Easily drag and drop nodes to build intelligent workflows, with real-time cycle detection to ensure your graph remains a valid Directed Acyclic Graph (DAG). Ideal for no-code tools, data processing flows, and LLM-based pipelines.
A fluent-style pipeline builder with minimal overhead and a mutation API that lets you modify pipeline behavior without touching the original code.
Write pipeline code once — runs sync or async automatically. Pure Python, zero dependencies.
this repository contains some finely curated machine learning models which very well performs on a given dataset. The dataset used here is again cleaned and preprocessed by me and have good space for data visualization if needed.
Interactive pipeline builder featuring intelligent node abstraction system, real-time variable parsing with {{variableName}} syntax, and graph cycle detection using Kahn's algorithm. Built with React, ReactFlow, Zustand for frontend and FastAPI for backend. Demonstrates advanced React patterns, algorithm implementation, and full-stack integration.
No-code RAG pipeline builder for non-technical users. Upload files → get chatbot in 30 seconds.
A FLexible ENgine for massive processing of Pipeline (FLENP)
Visual pipeline builder built with React, React Flow, Zustand, and FastAPI. Users can drag nodes, construct workflows, and submit pipelines for DAG analysis.
A drag-and-drop pipeline builder using React + ReactFlow, with a FastAPI backend for pipeline validation.
FluentPipelines provides streamlined methods to build top-to-bottom data processing pipelines using fluent syntax.
A visual, node-based RAG (Retrieval-Augmented Generation) pipeline builder built with FastAPI, React + ReactFlow, and ChromaDB. Drag-and-drop nodes to create document processing workflows: load PDFs → split text → generate embeddings → store in vector DB → retrieve context → generate AI responses via Ollama.
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