Awesome GitHub RepositoriesAI Data Analysis Tools

PrivateGPT is a private AI document assistant and local knowledge base manager designed for querying private files and documents using retrieval-augmented generation. It functions as a local language model application and API gateway, allowing users to obtain cited answers from unstructured data without sending information to external servers. The system differentiates itself by acting as a tool integrator that connects language models to external functions, including web search, tabular data analysis, and custom action extensions. It provides a standardized API layer that allows local infere

This platform is a modular, metadata-driven framework designed for building custom business applications and data management systems without traditional coding. It functions as a low-code environment where data models, user interfaces, and business logic are defined through visual configurations rather than hardcoded views. The architecture supports multi-tenant isolation, allowing multiple independent applications to run within a single shared memory space while maintaining strict logical separation of data and configurations. What distinguishes this system is its deep integration of artific

This project is a collection of implementation guides, recipes, and developer resources for building applications with Llama models. It serves as a comprehensive kit for developing autonomous agents, establishing retrieval-augmented generation systems, and executing model fine-tuning. The resource provides specific patterns for multimodal workflows that process text, images, and audio. It includes specialized guidance on adapting pre-trained model weights for targeted tasks and implementing tool-calling orchestration to connect models with external APIs and functions. The codebase covers a b

This platform is a low-code database system that combines the flexibility of a spreadsheet interface with the structured power of a relational database. It serves as a collaborative workspace for managing complex datasets, building custom business applications, and automating operational workflows without requiring traditional software development. The platform distinguishes itself through deep integration of artificial intelligence, which enables users to query databases using natural language, generate content, and deploy custom conversational agents trained on internal data. It supports re

The GenAI Toolbox is a framework designed to integrate large language models with structured databases, enabling autonomous data analysis and information retrieval. It functions as an agentic orchestrator that translates natural language prompts into executable database queries, allowing users to interact with complex data sources through conversational interfaces. The system distinguishes itself by utilizing schema-driven metadata serialization, which maps database structures into formats that language models can interpret to perform autonomous reasoning. By maintaining stateful conversation

Crucix is an open-source intelligence system comprising an OSINT aggregator, a geospatial intelligence dashboard, and an LLM intelligence agent. It functions as a real-time signal monitor and automated alerting system designed to collect, analyze, and visualize geopolitical, economic, and satellite data from diverse open-source intelligence sources. The system utilizes large language models to synthesize intelligence feeds, generate actionable trade ideas, and classify signal priority with confidence scores. It features a geospatial visualization interface that plots intelligence events, such

ai-goofish-monitor is an AI-driven marketplace monitor and containerized web scraper designed to track online listings. It uses multimodal large language models and natural language prompts to analyze product text and images, determining if items meet specific requirements. The system employs an anti-detection workflow that rotates network proxies and authenticated accounts to bypass rate limits. It captures browser cookies and session states to mimic real user behavior during automated requests. The project includes a task scheduler using cron expressions and an embedded SQLite database for

unopim is an AI-powered product information management system that serves as a centralized repository for managing product attributes, categories, and variations. It functions as a containerized product repository and a multi-channel data distributor, synchronizing consistent product information and pricing across diverse external sales platforms and marketplaces. The platform distinguishes itself through an LLM-based catalog manager that provides a conversational interface for executing data management tasks. This allows users to perform item creation, content enrichment, and quality scans u

Rengine is an automated reconnaissance framework and vulnerability management platform designed for attack surface monitoring. It functions as a centralized hub for discovering subdomains and open ports, gathering open-source intelligence, and tracking security flaws across target networks. The system integrates large language models to analyze reconnaissance data and generate vulnerability descriptions and insights. It distinguishes itself through a plugin-based tool integration that wraps external security scanning binaries and a target mapping system that tracks changes to assets over time

PraisonAI is an autonomous AI agent platform that coordinates multiple LLM-powered agents for research, planning, and execution of complex workflows. It functions as a multi-agent orchestration framework, a workflow builder, and a Model Context Protocol server, while also providing retrieval-augmented generation through vector knowledge bases. Agents can interact via CLI, web, or standardized protocols with sandboxed code execution. The platform distinguishes itself with a rich set of agent communication protocols, including A2A, REST, WebSocket, voice and telephony integration, and MCP, allo

Baserow is a no-code relational database and application builder that allows users to create structured data tables and business tools through a visual interface. It functions as a headless REST API data backend and a self-hosted data workspace, providing a platform for managing collaborative databases while maintaining full control over data residency. The platform integrates large language models to serve as an LLM-powered data platform, capable of generating database structures, record content, and technical workflows from natural language. It also acts as a Model Context Protocol server,

Scraperr ist eine selbstgehostete Plattform für Web-Scraping und Crawling, die für die Extraktion strukturierter Daten von Websites mittels XPath-Selektoren entwickelt wurde. Sie fungiert als containerisiertes System zur Verwaltung von Scraping-Jobs über eine Queue und zur Analyse der resultierenden Inhalte mittels künstlicher Intelligenz. Das Projekt zeichnet sich durch seine Kubernetes-native Architektur aus, die eine skalierbare Bereitstellung und Verwaltung über Paketmanager ermöglicht. Es enthält eine Crawling-Engine, die Domain-Level-Spidering unterstützt, um verlinkte Seiten zu entdecken, sowie einen Datenanalysator, der künstliche Intelligenz zur Abfrage extrahierter Webinhalte nutzt. Die Plattform deckt ein breites Spektrum an Funktionen ab, einschließlich automatisierter Datenextraktion, Bulk-Web-Crawling und Download von Mediendateien. Sie bietet Tools zur Visualisierung gescrapter Daten in Tabellen, zur Konfiguration benutzerdefinierter Request-Header zur Nachahmung von Browser-Identitäten und zum Export von Ergebnissen in CSV- oder Markdown-Formate. Die Anwendung unterstützt anpassbare Installationsparameter und Versions-Updates über Kubernetes-Deployment-Konfigurationen.

This project is a platform that orchestrates multiple AI agents to automate data science workflows—covering data loading, cleaning, feature engineering, modeling, and querying. It also functions as a natural language database query interface, converting plain English questions into SQL, and as a visual data pipeline builder. Custom agents are generated on demand by filling prompt templates for tasks like data cleaning and feature engineering. Pipelines incorporate human-in-the-loop checkpoints that pause execution for review and approval. Intermediate results are saved as versioned files, ena

Dieses Projekt ist ein Model Context Protocol-Server, der eine Schnittstelle für KI-Agenten bereitstellt, um Excel-Arbeitsmappen programmatisch zu erstellen, zu lesen und zu modifizieren. Es dient als Brücke, die es Large Language Models ermöglicht, Tabellenkalkulationsautomatisierung und Datenvisualisierung durchzuführen. Der Server ermöglicht es KI-Agenten, native Excel-Diagramme und Pivot-Tabellen aus Rohdaten zu generieren und strukturierte Informationen in visuelle Zusammenfassungen umzuwandeln. Er bietet einen Mechanismus für Remote-Tabellenkalkulationsmanagement durch eine protokollbasierte Konnektivitätsschicht. Das System deckt ein breites Spektrum an Tabellenkalkulations-Manipulationsfunktionen ab, einschließlich zellbasierter Operationen für Formeln und Datenvalidierung, visueller Formatierung von Bereichen und Layout-Modifikationen. Es handhabt zudem das Management auf Arbeitsmappenebene, wie Metadatenextraktion, Blattorganisation und die Erstellung strukturierter Tabellen.