Repository History
17 repositories tagged with framework
Mocket: A Comprehensive Socket Mocking Framework for Python
Mocket is a powerful Python framework designed for monkey-patching the `socket` and `ssl` modules, enabling robust testing of network-dependent applications. It serves as both a low-level framework for building custom clients and a ready-to-use mock for HTTP/HTTPS calls, supporting various environments including asyncio and MicroPython. This tool simplifies the process of isolating and testing Python clients that communicate over the socket protocol.
Awesome CSS Frameworks: A Curated List for Modern Web Development
Discover 'Awesome CSS Frameworks', a comprehensive GitHub repository featuring a meticulously curated list of CSS frameworks for 2026. This invaluable resource categorizes frameworks by type, from minimalist class-less options to robust general-purpose solutions. It is an essential tool for developers seeking the right styling foundation for their projects.
Griptape: Modular Python Framework for AI Agents and Workflows
Griptape is a modular Python framework designed to simplify the development of generative AI applications. It provides a flexible set of abstractions for working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and various other AI components. With its structured approach, Griptape enables developers to build sophisticated AI agents and workflows efficiently.
TensorRec: A TensorFlow Recommendation Framework in Python
TensorRec is a Python recommendation system built on TensorFlow, designed for quickly developing and customizing recommendation algorithms. It allows users to define custom representation and loss functions while handling data manipulation, scoring, and ranking. Although not under active development, it provides a solid foundation for understanding and implementing recommender systems.
GHunt: An Offensive Google Framework for OSINT and Data Collection
GHunt is a powerful Python-based offensive Google framework primarily focused on Open-Source Intelligence (OSINT), designed for efficient evolution. It offers robust CLI usage, Python library integration, and fully asynchronous operations, making it a versatile tool for gathering information related to Google services. With features like JSON export and a companion browser extension for streamlined login, GHunt simplifies the process of digital data collection.
TimeSide: A Scalable Python Framework for Audio Processing and Analysis
TimeSide is a powerful Python framework designed for scalable audio processing, analysis, imaging, transcoding, streaming, and labeling. It offers a core Python module, a web server with a RESTful API, and a JavaScript SDK. This framework is ideal for complex processing on large audio or video datasets, supporting diverse applications from computational musicology to streaming services.
Graphene: A Powerful GraphQL Framework for Python
Graphene is an opinionated Python library designed for building GraphQL schemas and types quickly and easily. It offers built-in support for Relay, is data-agnostic, and integrates seamlessly with various frameworks like Django and SQLAlchemy. This framework simplifies the process of exposing your data through a GraphQL API in Python applications.
Tokio: An Asynchronous Runtime for Reliable Rust Applications
Tokio is a powerful asynchronous runtime for the Rust programming language, enabling developers to build fast, reliable, and scalable applications. It provides essential components like I/O, networking, scheduling, and timers, making it ideal for high-performance concurrent systems.
ABP: Open-Source Web Application Framework for ASP.NET Core
ABP is an open-source web application framework for ASP.NET Core, designed to build enterprise software solutions with best practices. It provides an opinionated architecture, fundamental infrastructure, pre-built application modules, and comprehensive tooling. Developers can leverage ABP to automate repetitive tasks and focus on core business logic.
Cactus: Cross-Platform AI Inference Engine for Mobile Devices
Cactus is an open-source project providing an energy-efficient, cross-platform AI inference engine specifically designed for mobile devices. It features low-level ARM-specific SIMD operations, a unified zero-copy computation graph, and a high-level transformer engine with NPU support. This framework enables developers to deploy state-of-the-art AI models on smartphones and other edge devices with impressive performance.
Quarkus: Supersonic Subatomic Java for Cloud-Native Applications
Quarkus is a leading Java framework designed for cloud-native and container-first environments. It enables developers to build high-performance, low-footprint applications with rapid startup times. By unifying imperative and reactive programming models, Quarkus offers a modern and efficient approach to Java development.
Agent Zero: A Personal, Organic AI Agentic Framework
Agent Zero is a dynamic and customizable AI agentic framework designed to grow and learn with its users. It functions as a general-purpose personal assistant, leveraging the operating system as a tool and supporting multi-agent cooperation. The framework emphasizes transparency, extensibility, and prompt-based control, allowing users to tailor its behavior for diverse tasks.