Search Results for "decision analysis" - Page 2
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Showing 99 open source projects for "decision analysis"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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Claude for Financial Services
Reference agents, skills, and data for the financial-services
...It supports deployment either as Claude Cowork plugins or through the Claude Managed Agents API, allowing organizations to integrate the same logic into internal systems and automation pipelines. The repository includes tools for competitive analysis, financial modeling, market research, data-pack generation, and strategic synthesis. Its architecture emphasizes modularity, enabling firms to customize workflows and extend functionality for proprietary use cases. Overall, the project serves as a foundation for building AI-enhanced financial research and decision-support systems. -
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Dynamiq
An orchestration framework for agentic AI and LLM applications
...Instead of building each component manually, developers can use Dynamiq’s structured APIs and modular architecture to connect language models, vector databases, and external tools into cohesive pipelines. The framework supports the creation of multi-agent systems where different AI agents collaborate to solve tasks such as information retrieval, document analysis, or automated decision making. Dynamiq also includes built-in support for retrieval-augmented generation pipelines that allow models to access external documents and knowledge bases during inference. -
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OWL
Optimized Workforce Learning for General Multi-Agent Assistance
OWL (Optimized Workforce Learning) is a sophisticated open-source framework built on the CAMEL-AI ecosystem for orchestrating teams of AI agents to collaboratively solve complex, real-world tasks with dynamic planning and automation capabilities. Unlike single-agent systems, it treats task completion as a collaborative workforce where agents take on specialized roles (planning, execution, analysis) and coordinate via a modular multi-agent architecture that supports flexible teamwork across domains. OWL delivers state-of-the-art performance on benchmarks like GAIA and emphasizes real-time decision-making, web automation, rich search integration, document parsing, and multi-tool workflows, making it suitable for tasks ranging from information retrieval to interactive automation. -
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Kalshi Trading Bot CLI
AI-native CLI for trading Kalshi prediction markets
Kalshi Trading Bot CLI is an AI-driven command-line tool designed to automate trading strategies on Kalshi prediction markets by combining quantitative modeling with real-time market data. It operates by conducting deep research on events, generating independent probability estimates, and comparing those estimates against current market prices to identify trading opportunities. The system incorporates advanced decision-making logic, including Kelly criterion-based position sizing and a... -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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GEOFlow
Open-source GEO content production system with AI tasks
GEOFlow is a workflow system designed to manage and automate processes related to geographic and search optimization tasks using AI-driven pipelines. It focuses on structuring complex workflows into manageable steps, allowing users to orchestrate tasks such as content generation, analysis, and optimization. The system emphasizes modular design, enabling users to build reusable components that can be combined into larger workflows. It integrates with AI tools to enhance automation and decision-making within these pipelines. GEOFlow is particularly useful for managing repetitive or data-intensive processes in SEO and content operations. ... -
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EZ Bookkeeping
A lightweight, self-hosted personal finance app
Ez Bookkeeping is an open-source personal finance and bookkeeping web application designed to help individuals and small businesses track income, expenses, accounts, and budgets with simplicity and clarity. It provides a clean, modern interface where users can enter transactions, categorize expenses, and visualize financial data through dashboards, charts, and monthly summaries so that users can better understand their cash flow and spending patterns. The system supports multiple account... -
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The AI Scientist-v2
Workshop-Level Automated Scientific Discovery via Agentic Tree Search
AI-Scientist-v2 is an advanced autonomous research system designed to perform end-to-end scientific discovery using large language models and agent-based orchestration. The platform is capable of generating original research ideas, designing and executing experiments, analyzing and visualizing results, and producing full academic papers without direct human intervention. It introduces a generalized framework that removes reliance on predefined templates, enabling broader applicability across... -
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Cloud Native Landscape
The Cloud Native Interactive Landscape filters
Cloud Native Landscape is an open-source project that serves as a comprehensive visual map and database of the cloud-native ecosystem, cataloging hundreds of tools, platforms, and services across categories such as orchestration, observability, networking, and storage. Rather than being a traditional software application, it is a curated dataset and visualization system that helps developers and organizations navigate the rapidly evolving cloud-native space. The project organizes... -
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Claude Subconscious
Give Claude Code a subconscious
...Unlike standard AI interactions that reset between sessions, this system accumulates knowledge over time, allowing it to recall user preferences, project structures, and recurring patterns across multiple sessions. The plugin injects relevant context and guidance back into Claude before each prompt, effectively “whispering” insights that improve continuity and decision-making. It also has access to tools such as file reading, code search, and web browsing, enabling it to perform background analysis and augment responses with deeper context. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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AI Marketing Skills
Open-source AI marketing skills for Claude Code
AI Marketing Skills is a comprehensive open-source framework designed to transform AI agents into fully operational marketing and sales systems by equipping them with structured, reusable “skills” that automate real business workflows. Instead of simple prompts, the project provides complete operational modules that include scripts, scoring systems, and decision-making logic, allowing AI tools like Claude Code to execute complex marketing tasks end-to-end. The system is organized into multiple domains such as growth experimentation, sales pipeline generation, content production, outbound marketing, SEO optimization, and financial analysis, effectively covering the entire revenue lifecycle of a business. ... -
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Advanced AI explainability for PyTorch
Advanced AI Explainability for computer vision
pytorch-grad-cam is an open-source library that provides advanced explainable AI techniques for interpreting the predictions of deep learning models used in computer vision. The project implements Grad-CAM and several related visualization methods that highlight the regions of an image that most strongly influence a neural network’s decision. These visualization techniques allow developers and researchers to better understand how convolutional neural networks and transformer-based vision models make predictions. The library supports a wide variety of tasks including image classification, object detection, semantic segmentation, and similarity analysis. It also provides metrics and evaluation tools that help measure the reliability and quality of the generated explanations. ... -
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SGR Agent Core
Schema-Guided Reasoning (SGR) has agentic system design
SGR Agent Core is an open-source framework for building intelligent AI research agents based on a methodology known as Schema-Guided Reasoning (SGR). The framework provides a core library that allows developers to design autonomous agents capable of structured reasoning and complex task execution. Instead of relying solely on free-form prompts, the system organizes reasoning processes around schemas that guide how agents analyze problems, gather information, and generate outputs. This... -
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FinRobot
An Open-Source AI Agent Platform for Financial Analysis using LLMs
FinRobot is an open-source AI framework focused on automating financial data workflows by combining data ingestion, feature engineering, model training, and automated decision-making pipelines tailored for quantitative finance applications. It provides developers and quants with structured modules to fetch market data, process time series, generate technical indicators, and construct features appropriate for machine learning models, while also supporting backtesting and evaluation metrics to... -
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Blue Whale Configuration Platform
Blue Whale smart cloud configuration platform
Has accumulated experience in supporting hundreds of Tencent businesses, compatible with various complex system architectures, born in operation and maintenance, and proficient in operation and maintenance. From configuration management to job execution, task scheduling and monitoring self-healing, and then through operation and maintenance big data analysis to assist operational decision-making, it covers the full-cycle assurance management of business operations in a comprehensive manner. The open PaaS has a powerful development framework and scheduling engine, as well as a complete operation and maintenance development training system, which helps the rapid transformation and upgrading of operation and maintenance. ... -
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LucasChessR
GUI of chess
...The software includes a wide range of exercises covering openings, tactics, endgames, and visualization techniques. Users can play against multiple chess engines with adjustable difficulty levels that simulate different strengths. It also provides detailed game analysis, helping players understand mistakes and improve decision-making. Overall, Lucas Chess (R) combines gameplay, training, and analysis into a single powerful chess improvement suite. -
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Optimal-Pricing-Strategy-Demand-Tool
A Python-based tool that calculates the optimal product price by model
...The system calculates key financial metrics such as demand, revenue, total cost, profit, and profit margin across a range of prices. It then applies numerical optimization (using SciPy) to identify the price that maximizes profit. The tool also includes visual analysis through graphs that show how revenue, cost, and profit change with price. This helps users understand economic concepts such as price elasticity, competition effects, and profit optimization in an interactive and visual way. It is designed for students, educators, and learners who want to explore pricing theory, mathematical modeling, and business decision-making through simulation. -
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iTop - IT Service Management & CMDB
An easy, extensible web based IT service management platform
Whether you’re an infrastructure manager handling complex systems, a service support leader striving for customer satisfaction, or a decision-maker focused on ROI and compliance, iTop adapts to your processes to simplify your tasks, streamline operations, and enhance service quality. iTop (IT Operations Portal) by Combodo is an all-in-one, open-source ITSM platform designed to streamline IT operations. iTop offers a highly customizable, low-code Configuration Management Database (CMDB),... -
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Linux Studio Plugins Project
Linux Studio Plugins Project
LSP (Linux Studio Plugins) is a collection of open-source plugins currently compatible with LADSPA, LV2 and LinuxVST formats. Standalone plugins for JACK are provided since version 1.0.8. Experimental support of ARMv7 added since version 1.1.4 Experimental support of AArch64 added since version 1.1.9 Decomposition of modules and new UI introduced in 1.2.0 Added CLAP support in 1.2.5 Added VST3 support in 1.2.15 The basic idea is to fill the lack of good and useful plugins under the... -
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pwwAutoVision
Non-standard automated vision software
The only software that integrates vision and motion, as well as interfaces and reports, is developed with zero code and comes with online debugging. Link：https://pan.baidu.com/s/1vsTptn_pvtbK2sDhWVCZJg code：1234 -
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Ahp Software Created by : Mohamed Ali Khaskia Egypt - 2016 AHP Khaskia official version is a professional AHP AHP software. AHP Khaskia official version is powerful, convenient and easy to use. It supports the solution of AHP problems in decision-making and operational research, and automatically processes calculation results for you 1. AHP Khaskia has less analysis functions, so the operation is simple 2. A variety of decision analysis modes can be established in the first interface 3. Analysis can be performed on different targets in the calculation interface 4. ...
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This project provides a framework for scanning and executing various trading strategies on the TON blockchain ecosystem. It retrieves market data from multiple decentralized exchanges (DEXs) and applies a range of trading strategies to identify potential opportunities. This open-source, AI-powered bot is a versatile tool designed to run seamlessly on both Windows and macOS platforms. It automates various tasks and accelerates decision-making processes tailored to user needs. With advanced...
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Algerian/Spanish Checkers
Algerian / Spanish checkers with Minimax and Alpha–beta pruning
Algerian / Spanish Checkers Variant is a digital implementation of the classic board game with unique features and rules. Currently, the program integrates an AI opponent using the Minimax algorithm with alpha-beta pruning. The previous versions just favours moves that result in the fewest captures for the opponent. Future versions will include more sophisticated AI to enhance gameplay. The program currently handles all kind of regular piece and dama moves and captures. -
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AttractorProject
Attractor supports Weighted Argumentation with Dynamical Systems
Attractor is a Java library that can be used to solve weighted bipolar argumentation problems with continuous dynamical systems. Weighted bipolar argumentation frameworks are an AI formalism that allow modeling decision problems and online discussions by defining arguments and their relationships. The strength of arguments can be computed based on an initial weight and the strength of attacking and supporting arguments. Application domains include social media analysis and decision support. Attractor computes solutions using computational models based on continuous dynamical systems. ... -
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gpt-investor
Experimental investment analysis agent that utilizes the Claude 3 Opus
...It then uses sentiment analysis and industry context to compare companies against peers. The output includes rankings and recommendations based on the combined research signals. The project is educational and should be treated as decision-support material, not financial advice. -
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Machine Learning Git Codebook
For extensive instructor led learning
Machine Learning Git Codebook is an educational repository that provides a structured introduction to data science and machine learning concepts through a series of interactive notebooks and practical examples. The project is designed as a self-paced learning resource that walks learners through the full data science workflow, including data preprocessing, exploratory analysis, feature engineering, and model development. It covers a wide range of machine learning techniques such as decision trees, clustering methods, nearest neighbor algorithms, anomaly detection, and probabilistic classifiers. The repository organizes these topics into sequential notebooks that explain theoretical concepts while allowing users to experiment directly with code. ...
