Showing 14244 open source projects for "or-tools"

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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

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    Veeam Data Platform v13.1

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  • 1
    Vulnhuntr

    Vulnhuntr

    AI tool for detecting complex vulnerabilities in Python codebases

    ...It focuses on Python projects and applies static code analysis combined with LLM reasoning to trace how user input flows through an application. Instead of scanning entire repositories at once, it builds call chains step by step, allowing deeper inspection of complex, multi-stage issues that traditional tools may miss. Vulnhuntr can generate detailed findings, including vulnerability explanations and potential exploit paths, helping developers and security teams understand risks faster. It supports multiple LLM providers such as OpenAI, Anthropic, and Ollama, and can be run via CLI, Docker, or pipx. Vulnhuntr is particularly useful for early-stage security reviews, bug bounty hunting, and auditing dependencies for hidden risks across open source projects.
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  • 2
    Mito

    Mito

    AI-powered Jupyter spreadsheet that converts workflows into Python

    ...Mito also integrates with tools like Streamlit and Dash, enabling users to embed interactive spreadsheet functionality into apps with minimal setup. Built for analysts, developers, and teams, it simplifies automation, reduces repetitive tasks, and accelerates the transition from data exploration to reusable code.
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  • 3
    BeeAI Framework

    BeeAI Framework

    Build production-ready AI agents in both Python and Typescript

    ...It includes a unified backend layer that connects seamlessly to multiple large language model providers, allowing flexible deployment across different AI infrastructures without vendor lock-in. BeeAI also provides orchestration tools for designing dynamic workflows, enabling multiple agents to coordinate tasks through structured execution flows, retries, and parallel processing.
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  • 4
    Nexent

    Nexent

    Zero-code platform for building AI agents from natural language input

    Nexent is an open source platform designed to enable users to create intelligent agents using natural language instead of traditional programming or visual orchestration tools. It focuses on a zero-code approach, allowing users to define workflows and agent behavior purely through language prompts, significantly lowering the barrier to entry for AI development. Built on the MCP ecosystem, Nexent integrates a wide range of tools, models, and data sources into a unified environment for agent creation and execution. ...
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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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  • 5
    Preswald

    Preswald

    Python tool for browser-based interactive data apps in one file

    ...Preswald leverages a WebAssembly runtime along with technologies like Pyodide and DuckDB to execute Python code directly in the browser environment. This approach allows developers to create dashboards, reports, notebooks, and data tools that are portable, fast, and capable of running offline. Preswald emphasizes a code-first workflow where users define applications entirely in Python while using built-in UI components such as tables, charts, and forms. It also includes a reactive execution model that only recomputes necessary parts of the app, improving performance and responsiveness.
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  • 6
    Grafbase

    Grafbase

    The Grafbase GraphQL Federation Gateway

    ...Grafbase is designed for large-scale production environments, emphasizing high throughput, low latency, and efficient resource usage through its Rust implementation. The system also includes tools for schema governance, API lifecycle management, and collaboration workflows, helping engineering teams safely evolve complex APIs over time.
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  • 7
    Python Code Tutorials

    Python Code Tutorials

    The Python Code Tutorials

    ...The repository covers a wide range of programming topics including cybersecurity, networking, web scraping, machine learning, GUI development, and automation scripts. Each tutorial typically includes complete Python code examples and explanations that demonstrate how to build real tools and applications step by step. Many tutorials focus on practical implementations such as building network scanners, web scraping tools, object detection systems, and automation utilities using Python libraries. The repository is organized into thematic directories that group tutorials by topic, allowing learners to navigate easily between areas such as ethical hacking, multimedia processing, or machine learning.
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  • 8
    Amazing-Python-Scripts

    Amazing-Python-Scripts

    Curated collection of Amazing Python scripts

    ...The repository encourages community contributions, allowing developers to add their own scripts and improve existing ones through pull requests. Examples include scripts for sentiment analysis, data scraping, web automation, log analysis, and interactive applications such as games or voice-controlled tools. The project also provides contribution guidelines and documentation so that developers can easily collaborate and expand the collection of scripts.
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  • 9
    AI Engineer Headquarters

    AI Engineer Headquarters

    A collection of scientific methods, processes, algorithms

    AI-Engineer-Headquarters is a comprehensive educational repository designed to help developers become advanced AI engineers through a structured learning path and practical system-building exercises. The project serves as a curated collection of resources, methodologies, and tools covering topics across the entire artificial intelligence development lifecycle. Rather than focusing only on theoretical knowledge, the repository emphasizes applied learning and encourages engineers to build real systems that incorporate machine learning, large language models, data pipelines, and AI infrastructure. The curriculum includes a progression of topics such as foundational AI engineering skills, machine learning systems design, large language model usage, retrieval-augmented generation systems, model fine-tuning, and autonomous AI agents. ...
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    Go from Code to Production URL in Seconds

    Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

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  • 10
    Advanced AI explainability for PyTorch

    Advanced AI explainability for PyTorch

    Advanced AI Explainability for computer vision

    ...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. By integrating easily with PyTorch models, the library allows developers to diagnose model errors, detect biases in datasets, and improve model transparency.
    Downloads: 0 This Week
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  • 11
    MiroFlow

    MiroFlow

    Agent framework that enables tool-use agent tasks

    ...The system introduces a hierarchical architecture that organizes components into control, agent, and foundation layers, allowing developers to manage agent orchestration and tool interactions in a structured manner. One of the core innovations of MiroFlow is its use of agent graphs, which enable flexible orchestration of multiple sub-agents and tools in order to complete complex workflows. This architecture allows agents to perform advanced reasoning tasks such as deep research, future event prediction, and multi-step knowledge analysis. The framework emphasizes reliability and scalability by incorporating robust workflow execution, concurrency management, and fault-tolerant design to handle unstable APIs or network conditions.
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  • 12
    AICGSecEval

    AICGSecEval

    A.S.E (AICGSecEval) is a repository-level AI-generated code security

    ...AICGSecEval combines static and dynamic evaluation techniques to analyze generated code for vulnerabilities and functional correctness. The framework includes datasets, test cases, and evaluation metrics that measure how AI programming tools perform across multiple programming languages and vulnerability categories.
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  • 13
    AgentEvolver

    AgentEvolver

    Towards Efficient Self-Evolving Agent System

    ...The framework introduces several key mechanisms, including self-questioning to create new learning tasks, self-navigating to improve exploration through experience reuse, and self-attributing to assign rewards based on the usefulness of actions. These mechanisms enable agents to continuously improve their capabilities while interacting with complex environments and tools. AgentEvolver also integrates environment sandboxes, experience management systems, and modular data pipelines to support large-scale experimentation.
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  • 14
    try

    try

    Inspect a command's effects before modifying your live system

    Try is a Linux command-line utility that lets users run a command and inspect its effects before deciding whether to commit those changes to the live system. It works by using Linux namespaces through unshare together with overlay-based filesystem techniques so that commands can execute in an isolated view of the system rather than directly modifying the host environment immediately. This makes it useful for experimenting with package installation, system changes, and other shell commands...
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  • 15
    Domain Digger

    Domain Digger

    Domain analysis toolkit for DNS, IP, and WHOIS lookups

    Domain Digger is an open source toolkit designed to help users analyze and explore domain-related information in a structured and visual way. It provides a centralized interface for investigating various technical details associated with a domain, including DNS records, IP information, and WHOIS data. By combining several domain intelligence features into a single platform, it simplifies the process of gathering and understanding domain infrastructure details. Domain Digger presents domain...
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  • 16
    WFGY 3.0

    WFGY 3.0

    A tension reasoning engine over 131 S-class problems

    ...Different versions of the framework, including WFGY 1.0, 2.0, and 3.0, represent stages of development where early conceptual ideas evolved into more structured reasoning engines and diagnostic tools. The system maps reasoning tension across a large set of complex problems spanning domains such as mathematics, science, climate, finance, and artificial intelligence behavior.
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  • 17
    discover

    discover

    Automation framework for reconnaissance and penetration testing tasks

    ...The project brings together a variety of security testing functions into a single framework that simplifies reconnaissance, scanning, and enumeration processes. It provides a menu-driven interface that allows security professionals to quickly launch different tools and scripts without manually executing each command. The framework helps streamline activities such as information gathering, network scanning, and web application testing during security assessments. Discover also integrates with well-known security tools like Metasploit to generate malicious payloads and manage listeners for exploitation tasks. ...
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  • 18
    lms

    lms

    LM Studio CLI

    ...By exposing model management capabilities through command-line commands, the tool enables developers to integrate local LLM operations into development pipelines and backend services. As a result, LMS acts as a bridge between interactive local AI tools and automated software development workflows.
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  • 19
    Intel LLM Library for PyTorch

    Intel LLM Library for PyTorch

    Accelerate local LLM inference and finetuning

    ...IPEX-LLM supports a wide range of popular models, including architectures such as LLaMA, Mistral, Qwen, and other transformer-based systems. The library can integrate with common AI frameworks and serving tools such as Hugging Face Transformers, LangChain, and vLLM, allowing developers to incorporate optimized inference into existing pipelines.
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  • 20
    Build with Claude

    Build with Claude

    A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins

    Build with Claude is an open-source plugin marketplace and discovery hub for the Claude Code ecosystem that centralizes hundreds of plugins, agents, commands, hooks, skills, and marketplaces to enhance developer workflows with autonomous AI functionality. It serves as a one-stop index where users can browse curated agent modules for tasks like blockchain development, code analysis, DevOps, documentation generation, and much more — all designed to be installed directly into Claude Code using...
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  • 21
    Trail of Bits Skills Marketplace

    Trail of Bits Skills Marketplace

    Trail of Bits Claude Code skills for security research, vulnerability

    Trail of Bits Skills Marketplace is a specialized Claude Code skills marketplace built by the security research firm Trail of Bits that focuses on enhancing AI-assisted workflows for vulnerability discovery, testing, and secure development. The repository groups a set of plug-in skills tailored toward static analysis, code auditing, secure defaults detection, and other practices that matter in software security. Users can easily add the marketplace to a Claude Code environment, browse...
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  • 22
    OpenClaw CN

    OpenClaw CN

    The Chinese version of OpenClaw

    OpenClaw-CN is a Chinese language community adaptation and localization of the OpenClaw project, focused on making a powerful open-source agent framework usable and understandable for Chinese-speaking developers. It includes translated documentation, localized examples, and language-specific nuances so that developers in the Chinese ecosystem can adopt and contribute without a language barrier. The repository mirrors the structure of the upstream project but adds Chinese translations of core...
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  • 23
    Sygil WebUI

    Sygil WebUI

    Stable Diffusion web UI

    ...It also supports jumping between workflows, such as sending an output directly into Image2Image for variations or into an “Image Lab” style area for enhancement and upscaling. Post-processing and enhancement are a major emphasis: the interface can route images through different upscalers and face-enhancement tools, helping users turn raw generations into cleaner, higher-resolution results.
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  • 24
    zeroshot CLI

    zeroshot CLI

    Your autonomous engineering team in a CLI. Point Zeroshot at an issue

    zeroshot CLI is an autonomous engineering agent orchestration CLI that lets developers point it at a software task or issue and have it plan, implement, validate, and iterate on code changes without direct manual intervention. It orchestrates a multi-agent workflow where separate roles such as planner, implementer, and independent validators collaborate in isolated environments, looping until the code meets acceptance criteria or produces reproducible failures. The tool supports multiple...
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  • 25
    skills

    skills

    The open agent skills tool - npx skills

    skills is a CLI that turns “agent skills” into a portable, installable ecosystem, letting developers add reusable instruction sets to many different coding agents from a single command. Instead of hardcoding prompts per tool, it standardizes skills as SKILL.md files with structured metadata so they can be discovered, listed, installed, updated, and version-tracked consistently. The CLI supports pulling skills from common git sources, including GitHub shorthand, full URLs, direct paths inside...
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