Showing 9294 open source projects for "frameworks"

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  • 1
    Qwen3-Omni

    Qwen3-Omni

    Qwen3-omni is a natively end-to-end, omni-modal LLM

    Qwen3-Omni is a natively end-to-end multilingual omni-modal foundation model that processes text, images, audio, and video and delivers real-time streaming responses in text and natural speech. It uses a Thinker-Talker architecture with a Mixture-of-Experts (MoE) design, early text-first pretraining, and mixed multimodal training to support strong performance across all modalities without sacrificing text or image quality. The model supports 119 text languages, 19 speech input languages, and...
    Downloads: 2 This Week
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  • 2
    Terraboard

    Terraboard

    A web dashboard to inspect Terraform States

    A Web dashboard to inspect and query Terraform states. Terraboard gets its data from versioned S3 buckets and DynamoDB databases. Ever wondered in which Terraform project your resources are managed? Terraboard’s search interface helps you answer that! The dashboard features charts with useful stats on your Terraform resources. Terraboard comes packaged as a small container, making it fast and easy to deploy on all container platforms. Terraboard lets you visualize and query Terraform state...
    Downloads: 0 This Week
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  • 3
    AI Runner

    AI Runner

    Offline inference engine for art, real-time voice conversations

    AI Runner is an offline inference engine designed to run a collection of AI workloads on your own machine, including image generation for art, real-time voice conversations, LLM-powered chatbots and automated workflows. It is implemented as a desktop-oriented Python application and emphasizes privacy and self-hosting, allowing users to work with text-to-speech, speech-to-text, text-to-image and multimodal models without sending data to external services. At the core of its LLM stack is a...
    Downloads: 1 This Week
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  • 4
    JCTools

    JCTools

    Java Concurrency Tools for the JVM

    ...JCTools has enjoyed support from the community and contributions in the form of issues/tests/documentation/code have helped it grow. JCTools offers excellent performance at a reasonable price (FREE! under the Apache 2.0 License). It’s stable and in use by such distinguished frameworks as Netty, RxJava and others. JCTools is also used by commercial products with great results. JCTools is maven built and requires an existing Maven installation and JDK8 (only for building, runtime is 1.6 compliant). With ‘MAVEN_HOME/bin’ on the path and JDK8 set to your ‘JAVA_HOME’ you should be able to run “mvn install” from this directory. ...
    Downloads: 1 This Week
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  • 5
    Monolog

    Monolog

    Sends logs to files, sockets, inboxes, databases and web services

    Monolog sends your logs to files, sockets, inboxes, databases and various web services. See the complete list of handlers below. Special handlers allow you to build advanced logging strategies. This library implements the PSR-3 interface that you can type-hint against in your own libraries to keep a maximum of interoperability. You can also use it in your applications to make sure you can always use another compatible logger at a later time. As of 1.11.0 Monolog public APIs will also accept...
    Downloads: 1 This Week
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  • 6
    All RL Algorithms from Scratch

    All RL Algorithms from Scratch

    Implementation of all RL algorithms in a simpler way

    All RL Algorithms from Scratch is an educational reinforcement learning repository built around readable Python and Jupyter Notebook implementations. Its goal is to help learners understand how major reinforcement learning algorithms work under the hood instead of hiding the logic behind large frameworks. The project includes notebooks for value-based methods, policy-gradient methods, actor-critic algorithms, model-based learning, multi-agent reinforcement learning, planning, and hierarchical approaches. Implemented topics include Q-learning, SARSA, Expected SARSA, Dyna-Q, REINFORCE, PPO, A2C, A3C, DDPG, SAC, TRPO, DQN, MADDPG, QMIX, HAC, MCTS, and PlaNet. ...
    Downloads: 0 This Week
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  • 7
    ASSERT

    ASSERT

    Requirement-driven evaluation harness for AI agents and LLM

    ...The pipeline derives behavior categories, generates single-turn and multi-turn test cases, runs them against a target system, and uses an LLM judge to score conversations against the stated policies. It can evaluate hosted models, custom agents, multi-agent systems, REST clients, and frameworks such as LangGraph, CrewAI, AutoGen, DSPy, LlamaIndex, and OpenAI Agents SDK. ASSERT is designed to close the gap between what a system is supposed to do and what evaluation actually measures. It is useful for responsible AI teams, product teams, and developers who need traceable, spec-aligned testing.
    Downloads: 0 This Week
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  • 8
    AnalysisAVP

    AnalysisAVP

    Encode decode, rgb yuv h264 aac flv mp4 rtmp

    ...It includes practical examples and experimental code that demonstrate real-world implementations such as camera capture, rendering, and encoding workflows. The repository also references various multimedia frameworks and libraries like FFmpeg, SDL2, and x264, helping users understand their integration. It is designed as both a study guide and a reference for developers learning multimedia engineering. Overall, it serves as a structured learning path for audio and video system development.
    Downloads: 0 This Week
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  • 9
    Sail

    Sail

    A drop-in Apache Spark replacement written in Rust

    ...It is built entirely in Rust, eliminating JVM overhead and enabling predictable performance, fast startup times, and improved memory safety compared to traditional big data frameworks. Sail is compatible with the Spark Connect protocol, which means existing Spark SQL and DataFrame workloads can run without code changes, making adoption seamless for teams already using Spark-based pipelines. The framework is designed to operate across a variety of environments, including local machines, Kubernetes clusters, and cloud deployments, allowing flexible scaling based on workload requirements. ...
    Downloads: 0 This Week
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  • 10
    Tailgrids

    Tailgrids

    Open-source React UI library built with Tailwind CSS

    ...TailGrids components are designed with accessibility, responsiveness, and performance in mind, ensuring compatibility across devices and user needs. It also includes design system resources such as Figma files, which help bridge the gap between design and development workflows. With support for frameworks like React and Next.js, TailGrids is flexible and adaptable to various frontend stacks.
    Downloads: 0 This Week
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  • 11
    Storefront UI

    Storefront UI

    A frontend library for React and Vue that helps developers quickly

    Storefront UI is a frontend component library designed specifically for building eCommerce experiences using modern frameworks such as React and Vue. It focuses on delivering fast, accessible, and visually polished storefront interfaces, providing developers with ready-made components that align with common online shopping patterns. The library is structured to support headless commerce architectures, making it particularly valuable for teams integrating with APIs or backend platforms while maintaining full control over the frontend experience. ...
    Downloads: 0 This Week
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  • 12
    Dominator

    Dominator

    Zero-cost ultra-high-performance declarative DOM library using FRP

    ...The library is designed to be “zero-cost,” meaning that abstractions compile down to highly optimized code with no unnecessary runtime overhead. Updates are handled in constant time regardless of application size, making it highly scalable for complex interfaces. Its API is inspired by component-based frameworks like React, but tailored to Rust’s ownership model and compiled to WebAssembly for browser execution. By avoiding the virtual DOM, it eliminates diffing overhead and provides direct control over DOM operations for improved performance.
    Downloads: 0 This Week
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  • 13
    Team9

    Team9

    Team9 is a collaborative workspace for AI agents

    Team9 is an AI-native collaborative workspace designed to deploy, manage, and coordinate autonomous agents as if they were members of a human team, enabling organizations to automate complex workflows with minimal setup. It builds on agent frameworks like OpenClaw and introduces a managed environment where agents can be assigned roles, share context, and execute tasks collaboratively. The system emphasizes a “local-first” architecture, allowing agents to run on user-controlled infrastructure while maintaining persistent memory and data privacy. It includes orchestration mechanisms that allow agents to operate continuously through scheduled tasks, event-driven triggers, and long-running processes. ...
    Downloads: 0 This Week
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  • 14
    Swap

    Swap

    Currency exchange rates library

    ...One of its key strengths is its ability to define fallback providers, ensuring reliability even if a primary data source fails. Swap also includes optional caching mechanisms to reduce API calls and improve performance in production environments. It integrates seamlessly with frameworks like Symfony and Laravel, making it easy to incorporate into existing PHP applications.
    Downloads: 0 This Week
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  • 15
    Datapizza AI

    Datapizza AI

    Build reliable Gen AI solutions without overhead

    ...The project focuses on simplicity and transparency, enabling developers to construct agent-based workflows without the heavy abstractions and dependencies often found in larger AI frameworks. It provides a flexible architecture where individual agents can be assigned specialized roles, such as web search, reasoning, or domain-specific expertise, and can communicate with each other to complete tasks collaboratively. The framework supports integration with external APIs and tools, allowing agents to perform actions like retrieving data, executing functions, or interacting with external services. ...
    Downloads: 0 This Week
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  • 16
    prompt-kit

    prompt-kit

    Core building blocks for AI apps

    prompt-kit is an open-source collection of high-quality, customizable UI components designed specifically for building modern AI-powered interfaces such as chat applications, agents, and autonomous assistants. It provides developers with a set of reusable building blocks that integrate seamlessly with frameworks like React, Next.js, and Tailwind CSS, enabling rapid development of polished and consistent AI user experiences. The library is designed to work alongside shadcn/ui, allowing developers to extend existing design systems with AI-specific interaction patterns such as prompt inputs, streaming responses, and conversational layouts. ...
    Downloads: 0 This Week
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  • 17
    TensorRT LLM

    TensorRT LLM

    TensorRT LLM provides users with an easy-to-use Python API

    ...It includes support for cutting-edge inference methods like speculative decoding and inflight batching, enabling real-time and large-scale AI applications. TensorRT-LLM integrates seamlessly with NVIDIA’s broader inference ecosystem, including Triton Inference Server and distributed deployment frameworks, making it suitable for production environments.
    Downloads: 0 This Week
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  • 18
    Gooo

    Gooo

    Toolkit for developing web applications in Vue, Templ, and Go

    ...The project emphasizes simplicity and flexibility, enabling users to integrate its components into scripts or larger systems. While not as feature-heavy as enterprise frameworks, it serves as a foundation for experimentation and rapid prototyping in data extraction or automation tasks. Its design reflects a developer-centric approach, prioritizing extensibility and ease of modification over polished interfaces.
    Downloads: 0 This Week
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  • 19
    Google Research: Language

    Google Research: Language

    Shared repository for open-sourced projects from the Google AI Lang

    ...Many of the projects included in the repository correspond to research papers released by Google researchers and provide implementations of new NLP algorithms or experimental frameworks. These implementations often explore advanced techniques such as language modeling, semantic understanding, information retrieval, and multilingual text processing. The repository functions as a collaborative hub where different research initiatives can publish their code, enabling the broader community to reproduce experiments and build upon published work.
    Downloads: 0 This Week
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  • 20
    Machine Learning Foundations

    Machine Learning Foundations

    Machine Learning Foundations: Linear Algebra, Calculus, Statistics

    ...Each section introduces theoretical concepts and then illustrates them through practical coding examples to reinforce understanding. The project is designed for students and practitioners who want to strengthen their foundational knowledge before working with more advanced machine learning frameworks.
    Downloads: 0 This Week
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  • 21
    rebroswer-patches

    rebroswer-patches

    Patches for Puppeteer and Playwright to reduce automation detection

    rebrowser-patches is an open source collection of patches designed to improve the stealth capabilities of browser automation frameworks. It focuses primarily on enhancing Puppeteer and Playwright by modifying parts of their source code that may reveal automation activity to websites. Many modern websites rely on bot detection mechanisms that identify automation through behavioral or technical signals, and these patches aim to reduce those detection vectors. By applying targeted fixes, the project helps developers minimize automation leaks that are difficult or impossible to address through configuration options alone. ...
    Downloads: 0 This Week
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  • 22
    Jina-Serve

    Jina-Serve

    Build multimodal AI applications with cloud-native stack

    Jina Serve is an open-source framework designed for building, deploying, and scaling AI services and machine learning pipelines in production environments. The framework allows developers to create microservices that expose machine learning models through APIs that communicate using protocols such as HTTP, gRPC, and WebSockets. It is built with a cloud-native architecture that supports deployment on local machines, containerized environments, or large orchestration platforms such as...
    Downloads: 0 This Week
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  • 23
    Better Agents

    Better Agents

    Standards for building agents, better

    Better Agents is a command-line tool and framework designed to standardize the development of AI agents and improve the workflow for building production-ready agent systems. The project provides a structured set of best practices and templates that help developers organize their agent projects in a way that promotes maintainability, scalability, and reliability. Rather than being a full execution framework itself, Better-Agents focuses on enhancing coding assistants and agent development...
    Downloads: 0 This Week
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  • 24
    MiroThinker

    MiroThinker

    MiroThinker is an open source deep research agent

    MiroThinker is an open-source deep research AI agent designed to perform complex reasoning, information gathering, and predictive analysis tasks. The system focuses on enabling long-horizon research workflows by allowing the agent to interact repeatedly with external tools, search systems, and data sources while refining its reasoning through iterative steps. Rather than simply generating responses from a single prompt, the agent performs structured multi-step reasoning processes that...
    Downloads: 0 This Week
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  • 25
    OneFileLLM

    OneFileLLM

    Specify a github or local repo, github pull request

    OneFileLLM is an open-source project designed to simplify the distribution and execution of large language model applications by packaging them into a single portable file. The concept behind the project is to eliminate the complexity normally associated with deploying AI systems, which often require multiple dependencies, frameworks, and configuration steps. Instead, the entire runtime environment, model interface, and application logic are bundled together into a single executable artifact. This design allows developers to share AI tools in a format that can be easily distributed and executed across different machines without complicated installation procedures. ...
    Downloads: 0 This Week
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