Search Results for "frameworks" - Page 79
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Showing 9295 open source projects for "frameworks"
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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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MagicTools
A list of Game Development resources to make magic happen
...The collection groups resources for graphics, placeholder assets, sprite sheets, textures, character generation, level editing, animation, modeling, terrain, and voxel creation. It also includes game engines, frameworks, artificial intelligence tools, audio libraries, music editors, and board game resources. Separate sections point developers toward books, blogs, podcasts, game jams, communities, project management tools, complete source projects, and learning materials. Clear license markers distinguish free, open-source, paid, and partially free offerings. ... -
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Spark Joy
2000+ ways to add design flair, user delight, and whimsy to products
Spark Joy is a large curated collection of resources for adding visual polish, personality, and enjoyable interactions to digital products. It gathers more than 2,000 tools, examples, libraries, articles, and references rather than providing a single software package. The collection spans CSS frameworks, layouts, typography, color systems, backgrounds, icons, diagrams, illustrations, and individual interface elements. It also covers animation, onboarding, empty states, accessibility checks, design software, Canvas, WebGL, and 3D experiences. Developers and designers can use it to discover both practical utilities and playful ideas that make interfaces feel more memorable. ... -
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Swift Macros
A curated list of awesome Swift Macros
...It is intended for developers who want to understand, build, test, and distribute Swift macros in modern Swift projects. The repository gathers community-created macros alongside frameworks, articles, Apple resources, tutorials, and related tooling. Its structure makes it easier to discover practical macro use cases without searching across scattered blog posts and packages. It is especially valuable for developers moving from code-generation tools toward Swift’s built-in macro system. Swift-Macros is not a single library, but a reference hub for learning the Swift macro ecosystem and finding useful implementation patterns. -
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fe-advanced-interview
A Guide to Advanced Front-End Interviews
fe-advanced-interview is a comprehensive front-end engineering interview preparation repository focused on advanced web development concepts, system design, and real-world technical problem solving. The project compiles high-level interview questions and explanations covering JavaScript internals, browser rendering, networking, performance optimization, frameworks, architecture, and engineering best practices. Unlike beginner-focused interview guides, it emphasizes deeper understanding of how front-end technologies work internally and how large-scale applications are designed and maintained. The repository is structured as a learning resource for experienced developers preparing for senior engineering interviews at major technology companies. ... -
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agents-cli
CLI to turn coding assistants into expert at deploying AI agents
agents-cli is a command-line tool developed to simplify the creation, management, and execution of AI agents directly from the terminal. It provides developers with a structured interface for defining agent behavior, configuring tools, and running workflows. The tool integrates with agent frameworks and supports modular extensions for adding new capabilities. It emphasizes productivity by enabling rapid iteration and testing of agent logic without complex setup. agents-cli is designed to fit into modern developer workflows, particularly those that rely on automation and scripting. It allows users to orchestrate tasks, manage configurations, and monitor execution in a streamlined environment. ... -
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DESIGN.md
A format specification for describing a visual identity
design.md is an open specification created by Google Labs that defines a standardized way to describe design systems for AI coding agents. It allows developers to encode visual identity elements such as colors, typography, spacing, and components in a structured format. The file combines machine-readable design tokens with human-readable explanations, enabling agents to generate consistent user interfaces aligned with a brand. By providing persistent design context, it eliminates the need to... -
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CubeSandbox
Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents
...CubeSandbox integrates well with cloud-native workflows and modern infrastructure pipelines. Its design prioritizes security, concurrency, and performance in AI-driven environments. It is particularly useful for agent frameworks requiring safe execution of generated code. -
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data-table-filters
Faceted filters, sorting & infinite scroll for React data tables
...It provides a set of reusable components and hooks that allow developers to quickly add filtering, sorting, and search functionality to tabular data. The library is built with modern JavaScript frameworks in mind, ensuring compatibility with React-based applications. It emphasizes performance and usability, enabling efficient handling of large datasets while maintaining responsive interfaces. The tool also supports customization, allowing developers to tailor filtering logic and UI behavior to their specific needs. Its modular design makes it easy to integrate into existing projects without major refactoring. ... -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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PAR LLAMA
TUI for Ollama and other LLM providers
PAR LLAMA is a terminal-based text user interface designed to simplify the management and interaction with large language models, particularly those served through Ollama, while also supporting a wide range of cloud providers. It is built using modern terminal UI frameworks, delivering a visually structured and interactive experience directly within the command line. The application allows users to chat with models, manage sessions, and organize conversations without needing a graphical interface, making it ideal for developers who prefer terminal workflows. It includes advanced features such as persistent memory, which enables the system to retain user context across conversations, improving continuity and personalization. ... -
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Elixir LangChain
Elixir implementation of a LangChain style framework
...The library focuses on enabling composable workflows where different processes, APIs, and services can be connected into structured pipelines driven by LLMs. It mirrors the architecture of traditional LangChain frameworks by providing abstractions for chains, tools, agents, and model integrations while adapting them to Elixir’s concurrency model. This makes it particularly well-suited for building scalable, real-time AI systems that benefit from Elixir’s fault tolerance and lightweight process management. The framework supports multiple providers and includes features such as streaming responses, tool calling, and structured outputs, allowing developers to create complex AI-driven workflows. -
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LLocal
Aiming to provide a seamless and privacy driven chatting experience
LLocal is an Electron-based desktop application that provides a simple and accessible interface for interacting with local large language models, particularly those served through frameworks like Ollama. It focuses on delivering a straightforward chat experience that eliminates the need for command-line interaction while maintaining compatibility with local-first AI workflows. The application leverages Electron to provide cross-platform support, enabling consistent usage across operating systems with a familiar desktop interface. ... -
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J2CL
Java to Closure JavaScript transpiler
...It allows developers to write applications in Java while targeting web environments, enabling strong type safety and code reuse across platforms. Unlike monolithic frameworks, J2CL focuses purely on transpilation, leaving optimization, bundling, and runtime concerns to the broader toolchain, which provides flexibility in modern development workflows. The generated JavaScript is fully type-safe and can be aggressively optimized by the Closure Compiler to reduce code size and improve performance. J2CL is widely used internally at Google in large-scale applications such as Gmail and Google Docs, demonstrating its production readiness and scalability. ... -
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Bulletproof React
A simple, scalable, and powerful architecture for building production
...It provides a well-structured project setup that emphasizes separation of concerns, modular design, and consistent coding standards. The project incorporates modern development patterns, including state management strategies, API integration, and testing frameworks, ensuring that applications are robust and easy to maintain. It also includes guidelines for organizing codebases, making it easier for teams to collaborate and scale projects over time. The framework prioritizes developer experience by offering clear conventions and reusable components. It is particularly valuable for teams looking to standardize their React development processes. ... -
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colleague-skill
Transform a cold separation into a warm Skill
...It allows agents to provide suggestions, feedback, and alternative approaches, mimicking real-world collaboration dynamics. The system likely integrates with broader agent frameworks, enabling seamless inclusion in multi-agent environments. It emphasizes communication and coordination, ensuring that agents can contribute meaningfully to shared objectives. This makes it particularly useful for complex projects where multiple perspectives or iterative refinement are needed. -
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Crabtalk
Agents daemon that hides nothing
Crabtalk is a composable AI agent runtime designed to provide a minimal yet powerful foundation for building and orchestrating intelligent agents within a single lightweight binary. It is implemented in Rust and focuses on delivering high performance, reliability, and low overhead compared to more complex agent frameworks. The system is built around a small set of core primitives, including skills, memory, context isolation, and extensions, which together enable flexible and modular agent behavior. CrabTalk emphasizes simplicity by avoiding unnecessary abstractions, allowing developers to maintain full control over how agents operate and interact with their environment. ... -
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Latent Box
A collection of awesome-lists for AI, creativity and art. AI
...The platform emphasizes usability by providing a clean user interface that allows users to load models, configure parameters, and interact with them without needing deep technical knowledge of underlying frameworks. It supports local inference workflows, which are increasingly important for privacy-conscious users and organizations seeking to reduce reliance on external APIs. latentbox also enables extensibility through plugins or integrations, allowing developers to customize model pipelines or connect additional tools. -
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Magic Resume
free online AI resume editor
...Built with modern frontend technologies such as TanStack Start, TypeScript, and Tailwind CSS, it provides a smooth and responsive user experience enhanced by animation frameworks that make editing intuitive and engaging. The platform offers real-time preview capabilities, allowing users to instantly visualize changes as they build their resume, which significantly improves usability and iteration speed. It supports customizable themes and layouts, enabling users to tailor the design to different industries or personal branding preferences. ... -
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TNT
A lightweight library for PyTorch training tools and utilities
TNT is a lightweight training framework developed by Meta that simplifies the process of building and managing machine learning training loops using PyTorch. The project focuses on providing a flexible yet structured environment for implementing training pipelines without the complexity of large deep learning frameworks. It introduces modular abstractions that allow developers to organize training logic into reusable components such as trainers, evaluators, and callbacks. This design helps separate concerns such as model training, evaluation, logging, and checkpointing, making machine learning experiments easier to manage. The framework is particularly useful for large-scale experiments where maintaining clear training workflows becomes increasingly important. ... -
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Finance
150+ quantitative finance Python programs
...The project focuses on explaining key principles used in finance and investment analysis, including topics such as financial statements, valuation models, portfolio theory, and financial markets. The repository is designed as a study reference for students and professionals who want to understand financial systems and the analytical frameworks used in financial decision-making. It organizes concepts into structured documents that explain both theoretical principles and practical calculations used in finance. The materials often include definitions, formulas, conceptual explanations, and examples to help readers understand how financial models and instruments function in real markets. -
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DecryptPrompt
Summarize Prompt & LLM papers, open source data & models
...It serves as a structured knowledge base where developers and researchers can quickly find key papers about topics such as chain-of-thought reasoning, prompt optimization, reasoning frameworks, and model training techniques. The repository organizes research into thematic sections that cover different prompting methodologies and reasoning paradigms used in LLM development. Many of the resources focus on understanding how prompts influence model behavior and how prompting strategies can improve reasoning or efficiency. -
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llm_interview_note
Mainly record the knowledge and interview questions
...By organizing topics in a hierarchical documentation format, it enables readers to progress from basic NLP concepts to advanced topics like mixture-of-experts architectures and large-scale training frameworks. -
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OpenUI
OpenUI let's you describe UI using your imagination
...The project aims to accelerate UI prototyping by combining generative AI with modern frontend tooling. Users can iteratively refine designs through conversational prompts and convert generated layouts into frameworks like React or Web Components. OpenUI supports multiple model providers through LiteLLM, making it flexible across different AI ecosystems. The system is designed both as a practical prototyping tool and as a research platform for building next-generation AI-powered developer experiences. Its architecture separates frontend rendering from backend model orchestration, enabling extensibility and customization. ... -
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Convert to it!
Truly universal online file converter
...The repository focuses on practical transformations between formats, making it useful in scripting pipelines, automation tasks, and small backend utilities where reliability matters more than heavy frameworks. Its structure emphasizes clarity and minimal dependencies so developers can quickly understand and extend the codebase. The tool is intended to be composable, meaning it can be integrated into larger workflows without imposing complex runtime requirements. Because it is open source and relatively compact, it serves both as a usable utility and as a reference implementation for building custom converters. -
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InterviewGuide
Repository that collects extensive computer science
...It was created by a developer who documented his own journey from campus to tech industry, including detailed learning pathways for languages like C/C++, Go, JavaScript, and frameworks like Vue, as well as topics such as operating systems, networks, databases, and Redis. The repository contains curated algorithm and data structure explanations, collections of interview questions, high-frequency topics, and practical problem-solving guides to help users brush up on skills that are often tested in technical interviews.