6 dépôts
Implementation of custom Python scripts within visual node-based automation systems.
Distinct from Node Execution Logic: Specifically covers the execution of Python within a node-graph context rather than general application logic
Explore 6 awesome GitHub repositories matching user interface & experience · Python Logic Execution. Refine with filters or upvote what's useful.
Promptflow is a development framework and orchestrator for building applications powered by large language models. It functions as a suite of tools for designing, orchestrating, and deploying AI workflows by linking prompts, custom Python code, and language models into executable sequences. The project is distinguished by a visual AI workflow designer that allows for the creation of directed acyclic graphs of logic nodes. It provides a dedicated prompt engineering environment for versioning and comparing templates, alongside stateful execution tracing to record function calls and variable val
Allows the integration of custom Python functions to process data and call APIs within a workflow.
Genkit is an open-source framework for building AI-powered applications. It provides a unified interface for connecting to hundreds of generative AI models from multiple providers, enabling text, image, audio, and video generation through a single API. The framework structures multi-step AI interactions—including chat, retrieval-augmented generation, tool use, and agentic workflows—as composable, traceable flows with built-in streaming and state management. The framework distinguishes itself through a comprehensive developer toolkit that includes a command-line interface and a local developer
Enables AI models to write and run Python code for calculations and logic during response generation.
Ryven est un framework de programmation par flux et un éditeur de script visuel pour Python. Il fournit une interface graphique basée sur des nœuds pour concevoir et exécuter une logique en connectant des nœuds fonctionnels discrets afin de construire des pipelines de données exécutables. Le système fonctionne comme un outil de logique visuelle extensible, permettant le développement de nœuds Python personnalisés et l'intégration de widgets GUI interactifs pour étendre les capacités de script. Il inclut un moteur de graphe de nœuds qui prend en charge à la fois l'édition visuelle et l'exécution « headless », permettant aux scripts de s'exécuter sans interface utilisateur graphique. La plateforme couvre la conception de scripts visuels et la logique basée sur les flux, avec des outils pour le rendu d'images de flux et des annotations au stylet. Ses capacités s'étendent à la manipulation d'état en temps réel via une interface en ligne de commande et un mécanisme d'observateur pour la synchronisation automatique des données de variables.
Provides a node-based graphical interface for designing and executing flow-based logic using Python.
WebGAL is a web-native development environment designed for the creation and publication of interactive narrative games. It provides a browser-based platform that enables users to build visual novels featuring branching dialogue and multimedia assets without requiring manual coding. The platform distinguishes itself through a visual editor that utilizes node-based logic definition to manage narrative flow and scene transitions. It includes specialized tooling for the configuration and integration of animated character models, allowing for the direct implementation of interactive character seq
Translates graphical node connections into executable game logic for narrative branching and scene flow.
n8n-skills is a collection of technical guides and architectural frameworks for designing, building, and deploying automation workflows and AI agents within n8n. It provides a structured approach to creating autonomous agents by combining large language model chains with memory systems and custom toolsets. The project focuses on extending AI capabilities through the development of custom tool functions using structured input schemas and the integration of Model Context Protocol servers. It emphasizes the use of specific architectural patterns to manage webhooks, APIs, and binary data handling
Enables implementation of custom logic within code nodes adhering to standard library limitations.
rgthree-comfy is a collection of custom nodes and interface enhancements designed to automate and organize generative AI workflows within ComfyUI. It provides a specialized toolset for node-based automation, dynamic data routing, and graph management. The project distinguishes itself through a dynamic data router and workflow management tools that enable bulk muting, bypassing, and navigation of complex node graphs via bookmarks and visual labels. It also includes logic and math nodes for evaluating expressions and image processing utilities for side-by-side comparisons and precise cropping.
Implements custom Python script execution within the visual node-graph for dynamic data manipulation and decision logic.