Search Results for "frameworks" - Page 79
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Showing 8064 open source projects for "frameworks"
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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. ... -
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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... -
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go-resiliency
Resiliency patterns for golang
Resiliency patterns for golang. Based in part on Hystrix, Semian, and others. Currently implemented patterns include circuit-breaker (in the breaker directory), semaphore (in the semaphore directory), deadline/timeout (in the deadline directory), batching (in the batcher directory), retriable (in the retrier directory). I will occasionally bump the minimum required Golang version without bumping the major version of this package, which violates the official Golang packaging convention around... -
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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. ... -
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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. -
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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. -
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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. ... -
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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. -
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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. ... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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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. -
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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. ... -
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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. -
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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. ... -
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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. ... -
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mini SWE-agent
The 100 line AI agent that solves GitHub issues
mini SWE-agent is a lightweight, minimalist AI-powered software engineering agent designed to autonomously solve GitHub issues and assist developers directly from the command line using large language models. Unlike more complex frameworks, it emphasizes simplicity and efficiency, consisting of roughly 100 lines of code while still achieving strong performance on benchmarks such as SWE-bench Verified, where it demonstrates competitive problem-solving capabilities. The agent operates by interpreting software issues, analyzing repository context, and executing actions such as editing code, running commands, and validating fixes through iterative reasoning loops. ... -
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NVIDIA AI Cluster Runtime (AICR)
Tooling for optimized and reproducible GPU-accelerated AI runtime
...It appears to emphasize automation, consistency, and performance optimization across AI pipelines, potentially targeting enterprise and research use cases. Given NVIDIA’s ecosystem, it may also integrate with containerized environments, Kubernetes, or other orchestration frameworks. -
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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. -
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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. -
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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. -
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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. -
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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. ... -
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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... -
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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... -
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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... -
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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. ...