Showing 12086 open source projects for "framework"

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  • 1
    Dagger.jl

    Dagger.jl

    A framework for out-of-core and parallel execution

    Dagger.jl is a framework for out-of-core and parallel computing in Julia that allows users to construct and execute dynamic task graphs. It is designed for large-scale, distributed, and memory-efficient computations. Dagger supports lazy evaluation and scheduling across multiple threads or machines, enabling high-performance workflows for data processing, scientific computing, and machine learning.
    Downloads: 2 This Week
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  • 2
    AgentUniverse

    AgentUniverse

    agentUniverse is a LLM multi-agent framework

    AgentUniverse is a multi-agent AI framework that enables coordination between multiple intelligent agents for complex task execution and automation.
    Downloads: 5 This Week
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  • 3
    NNCF

    NNCF

    Neural Network Compression Framework for enhanced OpenVINO

    NNCF (Neural Network Compression Framework) is an optimization toolkit for deep learning models, designed to apply quantization, pruning, and other techniques to improve inference efficiency.
    Downloads: 2 This Week
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  • 4
    Kapacitor

    Kapacitor

    Open source framework for processing, monitoring, and alerting

    Open source framework for processing, monitoring, and alerting on time series data. Kapacitor is a real-time data processing engine for monitoring and alerting, specifically designed to work with time-series data from InfluxDB.
    Downloads: 2 This Week
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  • 5
    Nylo Support

    Nylo Support

    Support library for the Nylo framework

    Nylo is a powerful framework for developing mobile apps in Flutter. Out of the box, it comes with a router, secure storage, networking, and more.
    Downloads: 2 This Week
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  • 6
    Zudoku

    Zudoku

    Framework for building high quality, interactive API documentation

    Zudoku (pronounced "zoo-doh-koo") is an open-source, highly customizable API documentation framework for building quality developer experiences around OpenAPI and, soon, GraphQL documents.
    Downloads: 2 This Week
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  • 7
    Burn

    Burn

    Burn is a new comprehensive dynamic Deep Learning Framework

    Burn is a new comprehensive dynamic Deep Learning Framework from Tracel AI built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. Burn emphasizes performance, flexibility, and portability for both training and inference. Developed in Rust, it is designed to empower machine learning engineers and researchers across industry and academia.
    Downloads: 2 This Week
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  • 8
    Bouncer

    Bouncer

    Laravel Eloquent roles and abilities

    Bouncer is an elegant, framework-agnostic approach to managing roles and abilities for any app using Eloquent models. Bouncer is an elegant, framework-agnostic approach to managing roles and abilities for any app using Eloquent models. With an expressive and fluent syntax, it stays out of your way as much as possible: use it when you want, ignore it when you don't.
    Downloads: 5 This Week
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  • 9
    Trixi.jl

    Trixi.jl

    Trixi.jl: Adaptive high-order numerical simulations of hyperbolic PDEs

    Trixi.jl is a numerical simulation framework for hyperbolic conservation laws written in Julia. A key objective for the framework is to be useful to both scientists and students. Therefore, next to having an extensible design with a fast implementation, Trixi.jl is focused on being easy to use for new or inexperienced users, including the installation and postprocessing procedures.
    Downloads: 2 This Week
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    Ship Agents Faster

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  • 10
    Notte

    Notte

    Opensource browser using agents

    Notte is an open-source browser framework that enables the development and deployment of web-based AI agents. It introduces a perception layer that transforms web pages into structured, navigable maps described in natural language, allowing agents to interact with the internet more effectively. Notte is designed for building scalable and efficient browser-based AI applications.
    Downloads: 3 This Week
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  • 11
    web2py

    web2py

    Free and open source full-stack enterprise framework

    Free open source full-stack framework for rapid development of fast, scalable, secure and portable database-driven web-based applications. Written and programmable in Python (version 3 and 2.7). Everything you need in one package including fast multi-threaded web server, SQL database and web-based interface. No third-party dependencies but works with third-party tools.
    Downloads: 3 This Week
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  • 12
    Laravel Scout Elasticsearch

    Laravel Scout Elasticsearch

    Search among multiple models with ElasticSearch and Laravel Scout

    The package provides the perfect starting point to integrate ElasticSearch into your Laravel application. It is carefully crafted to simplify the usage of ElasticSearch within the Laravel Framework. It’s built on top of the latest release of Laravel Scout, the official Laravel search package. Using this package, you are free to take advantage of all of Laravel Scout’s great features, and at the same time leverage the complete set of ElasticSearch’s search experience.
    Downloads: 3 This Week
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  • 13
    Spring Cloud Tencent

    Spring Cloud Tencent

    A Spring Cloud based Service Governance Framework

    Spring Cloud Tencent is a Spring Cloud-based Service Governance Framework provided by Tencent. Spring Cloud Tencent is an one-stop microservice solution which implements the standard Spring Cloud SPI. It integrates Spring Cloud with Tencent middlewares and makes it easy to develop microservice.
    Downloads: 3 This Week
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  • 14
    MLE-bench

    MLE-bench

    AI multi-agent framework for automating data-driven R&D workflows

    RD-Agent is an open source AI framework designed to automate research and development workflows in data-driven domains. It uses large language models and multiple collaborating agents to simulate the typical cycle of research, experimentation, and improvement that human data scientists follow. It separates the process into two core phases: a research stage that proposes hypotheses and ideas, and a development stage that implements and evaluates them through code execution and experiments. ...
    Downloads: 2 This Week
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  • 15
    AIDE ML

    AIDE ML

    AI-Driven Exploration in the Space of Code

    ...AIDE ML is packaged as a Python toolkit with built-in utilities such as command-line tools, configuration presets, and visualization interfaces that allow researchers to observe how the search process evolves. The framework is designed for experimentation and academic research into automated programming and machine learning optimization.
    Downloads: 2 This Week
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  • 16
    Agent Development Kit (ADK) for Java

    Agent Development Kit (ADK) for Java

    An open-source, code-first Java toolkit

    ...While it integrates well with Google’s AI ecosystem, the framework is designed to remain model-agnostic and compatible with different machine learning platforms.
    Downloads: 2 This Week
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  • 17
    ControlFlow

    ControlFlow

    Take control of your AI agents

    ControlFlow is an open-source Python framework developed to help engineers design and orchestrate agentic workflows powered by large language models. The framework provides a structured approach for building AI systems by breaking complex tasks into smaller units called tasks that can be assigned to specialized AI agents. Developers can combine these tasks into flows that define how work is executed, enabling the creation of multi-step reasoning pipelines and collaborative agent systems. ...
    Downloads: 2 This Week
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  • 18
    nndeploy

    nndeploy

    An Easy-to-Use and High-Performance AI Deployment Framework

    nndeploy is an open-source framework designed to simplify the deployment of artificial intelligence models across multiple hardware platforms and devices. The framework focuses on making it easier to transform trained AI models into production-ready applications that can run efficiently on desktops, mobile devices, servers, and edge computing hardware. Developers can use visual workflows to design and configure AI processing pipelines by connecting modular nodes that represent different stages of the inference process. ...
    Downloads: 2 This Week
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  • 19
    NVIDIA Earth2Studio

    NVIDIA Earth2Studio

    Open-source deep-learning framework

    NVIDIA Earth2Studio is an open-source Python package and framework designed to accelerate the development and deployment of AI-driven weather and climate science workflows. It provides a unified API that lets researchers, data scientists, and engineers build complex forecasting and analysis pipelines by combining modular prognostic and diagnostic AI models with a diverse range of real-world data sources such as global forecast systems, reanalysis datasets, and satellite feeds. ...
    Downloads: 2 This Week
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  • 20
    json-render

    json-render

    Generate dashboards, widgets, apps, and data visualizations

    json-render is a lightweight, framework-agnostic utility designed to turn JSON data into usable HTML layouts automatically, offering a straightforward way to visualize structured data without writing bespoke template code. It takes deeply nested JSON objects and renders them into intuitive, readable UIs by mapping data types and keys to semantic HTML elements, which helps developers prototype dashboards, debugging tools, or data-driven interfaces quickly.
    Downloads: 2 This Week
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  • 21
    Airframe

    Airframe

    Essential Building Blocks for Scala

    Airframe is an essential building block for developing applications in Scala, including logging, object serialization using JSON or MessagePack, dependency injection, HTTP server/client with RPC support, functional testing with AirSpec, etc. Airframe RPC supports seamless integration of servers and clients using Scala as RPC interfaces. AirSpec is a simple unit testing framework for Scala and Scala.js. You can use public methods in your classes as test cases. There is no need to remember complex DSLs for writing tests in Scala. Retrying HTTP requests for API calls is an essential technique for connecting microservices. airframe-control will provide essential tools for making your requests reliable with exponential backoff retry, jitter, circuit-breaker, rate control, etc. airframe-fluentd supports logging your metrics to fluentd in a type-safe manner. ...
    Downloads: 2 This Week
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  • 22
    Union Pandera

    Union Pandera

    Light-weight, flexible, expressive statistical data testing library

    The open-source framework for precision data testing for data scientists and ML engineers. Pandera provides a simple, flexible, and extensible data-testing framework for validating not only your data but also the functions that produce them. A simple, zero-configuration data testing framework for data scientists and ML engineers seeking correctness. Access a comprehensive suite of built-in tests, or easily create your own validation rules for your specific use cases. ...
    Downloads: 2 This Week
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  • 23
    Genie.jl

    Genie.jl

    The highly productive Julia web framework

    Genie Framework includes all you need to quickly build production-ready web applications with Julia. Develop Julia backends, create beautiful web UIs, build data applications and dashboards, integrate with databases and set up high-performance web services and APIs. Genie Builder is a free VSCode plugin for quickly building Julia apps without writing frontend code.
    Downloads: 1 This Week
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  • 24
    go-zero

    go-zero

    A cloud-native Go microservices framework with cli tool

    go-zero is a web and rpc framework with lots of built-in engineering practices. It’s born to ensure the stability of busy services with resilience design and has been serving sites with tens of millions of users for years. go-zero (listed in CNCF Landscape: https://landscape.cncf.io/?selected=go-zero) is a web and rpc framework with lots of builtin engineering practices.
    Downloads: 2 This Week
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  • 25
    Jittor

    Jittor

    Jittor is a high-performance deep learning framework

    Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just in time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code specialized for your model. Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement learning, etc. ...
    Downloads: 1 This Week
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