<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fastapi on Noureddine RAMDI</title><link>https://ramdi.fr/tags/fastapi/</link><description>Recent content in Fastapi on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/fastapi/index.xml" rel="self" type="application/rss+xml"/><item><title>Atlas: containerized multi-layer network scanner and visualizer with Go, FastAPI, and React</title><link>https://ramdi.fr/github-stars/atlas-containerized-multi-layer-network-scanner-and-visualizer-with-go-fastapi-and-react/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/atlas-containerized-multi-layer-network-scanner-and-visualizer-with-go-fastapi-and-react/</guid><description>Atlas is a self-contained Docker network scanner combining Go CLI scanning, FastAPI backend, and React dashboard for multi-layered discovery and visualization.</description></item><item><title>DeepDiagram: Streaming XML-driven AI visualization with multi-agent orchestration</title><link>https://ramdi.fr/github-stars/deepdiagram-streaming-xml-driven-ai-visualization-with-multi-agent-orchestration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepdiagram-streaming-xml-driven-ai-visualization-with-multi-agent-orchestration/</guid><description>DeepDiagram uses a streaming XML tag output pattern with LangGraph multi-agent orchestration to transform natural language into diagrams in real-time. It features React 19 + FastAPI and supports multimodal inputs.</description></item><item><title>Inside picoagents: a transparent multi-agent system framework built from scratch in Python</title><link>https://ramdi.fr/github-stars/inside-picoagents-a-transparent-multi-agent-system-framework-built-from-scratch-in-python/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-picoagents-a-transparent-multi-agent-system-framework-built-from-scratch-in-python/</guid><description>PicoAgents is a Python multi-agent framework built from scratch, offering transparent agent orchestration, LLM provider abstraction, streaming UI, and production-ready benchmarks.</description></item><item><title>LiveTradeBench: Evaluating LLM-driven trading agents in live markets</title><link>https://ramdi.fr/github-stars/livetradebench-evaluating-llm-driven-trading-agents-in-live-markets/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/livetradebench-evaluating-llm-driven-trading-agents-in-live-markets/</guid><description>LiveTradeBench benchmarks LLM trading agents like GPT and Claude in live US equity and prediction markets with real-time news and sentiment integration.</description></item><item><title>NomAI: a multi-step AI nutrition analysis app combining Flutter and FastAPI</title><link>https://ramdi.fr/github-stars/nomai-a-multi-step-ai-nutrition-analysis-app-combining-flutter-and-fastapi/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/nomai-a-multi-step-ai-nutrition-analysis-app-combining-flutter-and-fastapi/</guid><description>NomAI combines a Flutter app with a FastAPI backend using a multi-step LLM pipeline and web-grounded reasoning for nutrition analysis and meal tracking.</description></item><item><title>OmniVoice Studio: a local-first multi-engine voice cloning and dubbing platform with MCP server integration</title><link>https://ramdi.fr/github-stars/omnivoice-studio-a-local-first-multi-engine-voice-cloning-and-dubbing-platform-with-mcp-server-integration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/omnivoice-studio-a-local-first-multi-engine-voice-cloning-and-dubbing-platform-with-mcp-server-integration/</guid><description>OmniVoice Studio is a local desktop app offering zero-shot voice cloning, multi-engine TTS, and video dubbing with GPU-aware offloading and an MCP server for agentic AI integration.</description></item><item><title>Paper2Any: multi-modal AI pipeline converting academic papers into editable scientific artifacts</title><link>https://ramdi.fr/github-stars/paper2any-multi-modal-ai-pipeline-converting-academic-papers-into-editable-scientific-artifacts/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/paper2any-multi-modal-ai-pipeline-converting-academic-papers-into-editable-scientific-artifacts/</guid><description>Paper2Any uses chained LLM calls with structured output to convert academic papers into editable scientific figures, slides, and diagrams via a FastAPI backend and React frontend.</description></item><item><title>SupoClip: self-hostable AI-powered video clipping with multi-LLM backend abstraction</title><link>https://ramdi.fr/github-stars/supoclip-self-hostable-ai-powered-video-clipping-with-multi-llm-backend-abstraction/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/supoclip-self-hostable-ai-powered-video-clipping-with-multi-llm-backend-abstraction/</guid><description>SupoClip is an open-source self-hosted AI video clipper using AssemblyAI transcription and multiple LLM backends including local Ollama. It runs on Docker Compose with FastAPI and Next.js.</description></item><item><title>Vibe Workflow: Embeddable node-based AI workflow builder for generative image and video pipelines</title><link>https://ramdi.fr/github-stars/vibe-workflow-embeddable-node-based-ai-workflow-builder-for-generative-image-and-video-pipelines/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/vibe-workflow-embeddable-node-based-ai-workflow-builder-for-generative-image-and-video-pipelines/</guid><description>Vibe Workflow is an open-source, self-hostable node-based AI workflow builder for generative image and video pipelines. Its reusable UI library enables embedding into React apps.</description></item><item><title>autoMate: a local-first AI hub exposing 40+ tools via MCP-over-HTTP</title><link>https://ramdi.fr/github-stars/automate-a-local-first-ai-hub-exposing-40-tools-via-mcp-over-http/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/automate-a-local-first-ai-hub-exposing-40-tools-via-mcp-over-http/</guid><description>autoMate exposes 40+ AI tools and 31 SaaS APIs via MCP-over-HTTP on localhost, with encrypted storage and multi-provider LLM support. A local AI infrastructure hub with privacy-first design.</description></item><item><title>DeepDrone: natural language AI control for drones with real-time telemetry and MAVLink integration</title><link>https://ramdi.fr/github-stars/deepdrone-natural-language-ai-control-for-drones-with-real-time-telemetry-and-mavlink-integration/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepdrone-natural-language-ai-control-for-drones-with-real-time-telemetry-and-mavlink-integration/</guid><description>DeepDrone uses LLMs to translate natural language commands into structured drone operations via MAVLink, with real-time telemetry and safety constraints. Python backend, FastAPI, LiteLLM, and JS frontend.</description></item><item><title>DockMon: secure multi-host Docker monitoring with a lightweight Go agent and real-time metrics</title><link>https://ramdi.fr/github-stars/dockmon-secure-multi-host-docker-monitoring-with-a-lightweight-go-agent-and-real-time-metrics/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/dockmon-secure-multi-host-docker-monitoring-with-a-lightweight-go-agent-and-real-time-metrics/</guid><description>DockMon offers secure multi-host Docker monitoring with a Go agent using mTLS, FastAPI backend, React frontend, real-time dashboards, and multi-channel alerts. A solid choice for enterprise-grade observability.</description></item><item><title>PokieTicker: layered AI-driven stock market analysis with sentiment and XGBoost</title><link>https://ramdi.fr/github-stars/pokieticker-layered-ai-driven-stock-market-analysis-with-sentiment-and-xgboost/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/pokieticker-layered-ai-driven-stock-market-analysis-with-sentiment-and-xgboost/</guid><description>PokieTicker combines rule-based filtering, LLM sentiment analysis, and XGBoost prediction in a full-stack stock analysis app. Runs locally with no API keys.</description></item><item><title>Foxel: a pluggable, AI-powered self-hosted cloud storage platform</title><link>https://ramdi.fr/github-stars/foxel-a-pluggable-ai-powered-self-hosted-cloud-storage-platform/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/foxel-a-pluggable-ai-powered-self-hosted-cloud-storage-platform/</guid><description>Foxel offers a self-hosted cloud storage platform with runtime plugin loading and AI-driven semantic search across multiple backends. Explore its architecture, plugin system, and deployment.</description></item><item><title>Gitingest: turning GitHub repos into AI-friendly text digests with a clever URL hack</title><link>https://ramdi.fr/github-stars/gitingest-turning-github-repos-into-ai-friendly-text-digests-with-a-clever-url-hack/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/gitingest-turning-github-repos-into-ai-friendly-text-digests-with-a-clever-url-hack/</guid><description>Gitingest is a Python CLI and API that converts Git repos into LLM-optimized text digests, featuring a unique URL hack for instant GitHub repo ingestion and self-hosted FastAPI server.</description></item><item><title>Inside polymarket-kalshi-weather-bot: a multi-strategy prediction market trading bot with ensemble weather forecasting</title><link>https://ramdi.fr/github-stars/inside-polymarket-kalshi-weather-bot-a-multi-strategy-prediction-market-trading-bot-with-ensemble-weather-forecasting/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-polymarket-kalshi-weather-bot-a-multi-strategy-prediction-market-trading-bot-with-ensemble-weather-forecasting/</guid><description>Explore polymarket-kalshi-weather-bot, a Python trading bot exploiting BTC microstructure and ensemble weather forecasts for prediction market arbitrage. Uses fractional Kelly sizing and real-time React dashboard.</description></item><item><title>MediaLyze: incremental scanning for efficient self-hosted media library analysis</title><link>https://ramdi.fr/github-stars/medialyze-incremental-scanning-for-efficient-self-hosted-media-library-analysis/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/medialyze-incremental-scanning-for-efficient-self-hosted-media-library-analysis/</guid><description>MediaLyze is a read-only, self-hosted media library analyzer using FastAPI and React. It features incremental scanning with path+size+mtime hashing to avoid redundant scans.</description></item><item><title>Open Computer Use: orchestrating multi-agent AI for real computer control with containerized VMs</title><link>https://ramdi.fr/github-stars/open-computer-use-orchestrating-multi-agent-ai-for-real-computer-control-with-containerized-vms/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-computer-use-orchestrating-multi-agent-ai-for-real-computer-control-with-containerized-vms/</guid><description>Open Computer Use enables AI agents to control real computers using specialized Browser, Terminal, and Desktop agents running in isolated Docker VMs. It achieves 82% on the OSWorld benchmark.</description></item><item><title>pad.ws: integrating collaborative whiteboards with cloud IDEs through FastAPI orchestration</title><link>https://ramdi.fr/github-stars/pad-ws-integrating-collaborative-whiteboards-with-cloud-ides-through-fastapi-orchestration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/pad-ws-integrating-collaborative-whiteboards-with-cloud-ides-through-fastapi-orchestration/</guid><description>pad.ws merges Excalidraw&amp;rsquo;s whiteboard with Coder cloud IDEs in a FastAPI backend-driven platform. Self-hosting requires PostgreSQL, Redis, Keycloak, and manual setup.</description></item><item><title>Resume Matcher: A provider-agnostic AI platform for tailored resumes using LiteLLM abstraction</title><link>https://ramdi.fr/github-stars/resume-matcher-a-provider-agnostic-ai-platform-for-tailored-resumes-using-litellm-abstraction/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/resume-matcher-a-provider-agnostic-ai-platform-for-tailored-resumes-using-litellm-abstraction/</guid><description>Resume Matcher uses LiteLLM to unify six LLM providers for AI-powered resume tailoring, with a FastAPI backend and Next.js frontend. It supports local and cloud deployments with PDF export.</description></item><item><title>deepseek_ocr_app: full-stack OCR with multi-format PDF export and real-time progress</title><link>https://ramdi.fr/github-stars/deepseek-ocr-app-full-stack-ocr-with-multi-format-pdf-export-and-real-time-progress/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepseek-ocr-app-full-stack-ocr-with-multi-format-pdf-export-and-real-time-progress/</guid><description>deepseek_ocr_app combines React and FastAPI to offer powerful OCR for images and multipage PDFs with exports to Markdown, HTML, DOCX, and JSON. It features real-time progress tracking and bounding box visualization.</description></item><item><title>fastapi-guard: fine-grained security middleware for FastAPI with composable per-route decorators</title><link>https://ramdi.fr/github-stars/fastapi-guard-fine-grained-security-middleware-for-fastapi-with-composable-per-route-decorators/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/fastapi-guard-fine-grained-security-middleware-for-fastapi-with-composable-per-route-decorators/</guid><description>fastapi-guard offers a composable security middleware for FastAPI with per-route decorators, IP filtering, rate limiting, and an optional cloud dashboard for monitoring.</description></item><item><title>FlowKit: automating AI video generation with visual consistency via a Chrome extension bridge</title><link>https://ramdi.fr/github-stars/flowkit-automating-ai-video-generation-with-visual-consistency-via-a-chrome-extension-bridge/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/flowkit-automating-ai-video-generation-with-visual-consistency-via-a-chrome-extension-bridge/</guid><description>FlowKit automates AI video creation using Google Flow API with a unique reference image system ensuring visual consistency across scenes. It pairs a FastAPI backend with a Chrome extension bridge.</description></item><item><title>Inside AG2 Studio: A practical UI for AI agent prototyping with FastAPI and Next.js</title><link>https://ramdi.fr/github-stars/inside-ag2-studio-a-practical-ui-for-ai-agent-prototyping-with-fastapi-and-next-js/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-ag2-studio-a-practical-ui-for-ai-agent-prototyping-with-fastapi-and-next-js/</guid><description>AG2 Studio offers a FastAPI + Next.js UI for prototyping multi-agent AI workflows on the AG2 framework. It supports multiple LLMs and skill composition but is a reference, not production-ready.</description></item><item><title>LangAlpha: AI agents using programmatic Python execution for financial research</title><link>https://ramdi.fr/github-stars/langalpha-ai-agents-using-programmatic-python-execution-for-financial-research/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/langalpha-ai-agents-using-programmatic-python-execution-for-financial-research/</guid><description>LangAlpha uses AI agents that write and execute Python to analyze financial data, reducing token waste and enabling persistent, steerable multi-agent research workspaces.</description></item><item><title>paper-console: modular thermal printer IoT with dual-mode Raspberry Pi integration</title><link>https://ramdi.fr/github-stars/paper-console-modular-thermal-printer-iot-with-dual-mode-raspberry-pi-integration/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/paper-console-modular-thermal-printer-iot-with-dual-mode-raspberry-pi-integration/</guid><description>paper-console runs a modular FastAPI backend and Vue/Svelte frontend to print curated content on thermal paper via Raspberry Pi Zero 2 W, supporting dev mock mode and hardware mode with GPIO integration.</description></item><item><title>AgentGPT: building autonomous AI agents with a full-stack web platform</title><link>https://ramdi.fr/github-stars/agentgpt-building-autonomous-ai-agents-with-a-full-stack-web-platform/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentgpt-building-autonomous-ai-agents-with-a-full-stack-web-platform/</guid><description>AgentGPT offers a full-stack solution to deploy autonomous AI agents in the browser using Next.js, FastAPI, and Langchain, with a streamlined CLI for setup and deployment.</description></item><item><title>Agno: Building production-ready agentic software with minimal code</title><link>https://ramdi.fr/github-stars/agno-building-production-ready-agentic-software-with-minimal-code/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/agno-building-production-ready-agentic-software-with-minimal-code/</guid><description>Agno provides a minimal, production-ready Python framework for scalable agentic software with per-user isolation and native tracing in ~20 lines of code.</description></item><item><title>OpenBB's Open Data Platform: Unified financial data integration for diverse analytics and AI</title><link>https://ramdi.fr/github-stars/openbb-s-open-data-platform-unified-financial-data-integration-for-diverse-analytics-and-ai/</link><pubDate>Sun, 26 Apr 2026 09:31:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/openbb-s-open-data-platform-unified-financial-data-integration-for-diverse-analytics-and-ai/</guid><description>OpenBB&amp;rsquo;s Open Data Platform offers a unified &amp;ldquo;connect once, consume everywhere&amp;rdquo; layer bridging financial data sources with Python, Excel, AI agents, and REST APIs for seamless analytics and AI use.</description></item></channel></rss>