Awesome GitHub RepositoriesData Masking

Bruno is a local-first API client designed for building, testing, and managing network requests across a wide range of protocols. By storing all collections and configurations as plain-text files directly on the local filesystem, it enables native version control and offline access, ensuring that project data remains under user control without requiring cloud synchronization. The platform distinguishes itself through a declarative approach to API management, utilizing a domain-specific language to define request parameters and metadata. This architecture supports a robust testing environment

ERPNext is a comprehensive enterprise resource planning suite designed to integrate core organizational functions, including accounting, inventory, human resources, and project management, into a single unified platform. It operates as a metadata-driven business application, where data structures and application logic are defined through configuration rather than hard-coded programming to facilitate rapid customization. The system distinguishes itself through a robust security and governance framework that enforces granular, role-based access control across all document operations. It feature

This project is a cross-platform development framework and managed runtime environment designed for building high-performance applications. It provides a comprehensive toolkit for constructing web services, cloud-native microservices, and desktop applications, utilizing a unified runtime that handles memory management and execution across diverse operating systems. The framework distinguishes itself through a native ahead-of-time compilation toolchain that transforms source code into optimized, self-contained machine code binaries. This capability enables fast startup times and reduced memory

Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and relationships across diverse data sources. By acting as a headless business intelligence engine, it transforms raw data into a governed model that can be queried via SQL, REST, and GraphQL interfaces. This architecture ensures consistent data definitions and logic across all downstream analytical applications and reporting tools. The platform distinguishes itself through its integrated conversational AI capabilities, which allow users to explore data using natural language. It orches

Goreplay is an HTTP traffic mirroring tool designed to capture live network traffic from production environments and replay it into test systems for validation. It includes a specialized Kubernetes traffic capturer that operates as a daemonset to mirror traffic from specific pods using label selectors and namespace filters, alongside a TCP traffic recorder for intercepting raw network packets. The project features a Kafka traffic pipeline for streaming captured payloads to topics or ingesting messages for playback, and an HTTP request transformer to mask sensitive data or rewrite headers and

Keploy is an automated testing platform that leverages kernel-level traffic interception to generate and maintain regression test suites for microservices. By capturing live network traffic and system calls via eBPF, the platform automatically creates deterministic test cases and mocks external dependencies without requiring manual code instrumentation. This approach allows developers to validate application behavior and API contracts by replaying production-like traffic in isolated environments. The platform distinguishes itself through its use of machine learning to perform test maintenance

KeepChatGPT is a browser extension designed to enhance the ChatGPT web experience by acting as a session manager, UI optimizer, and privacy guard. It focuses on maintaining active connections to prevent session timeouts and improving the overall interface for better readability and organization. The project distinguishes itself through privacy and security features that block tracking telemetry and use regular expressions to mask sensitive data before it is sent. It also includes tools to mitigate conversation auditing and bypass bot verification challenges to reduce the risk of account restr

Ydata-profiling is an automated exploratory data analysis framework designed to generate comprehensive statistical reports and visual summaries from dataframes. It functions as a diagnostic tool for assessing data quality, identifying missing values, duplicates, and outliers, while providing a scalable engine for profiling massive datasets across distributed enterprise environments. The project distinguishes itself through its ability to handle large-scale data through distributed task orchestration and lazy stream processing, which minimizes memory overhead during complex computations. It in

This project is a technical interview study guide and a markdown-driven static site designed to help developers prepare for coding screenings. It serves as a curated collection of common technical questions and expert answers, functioning as a comprehensive educational resource. The platform provides a structured curriculum and reference materials across several key domains. This includes a JavaScript language reference covering programming fundamentals, a frontend engineering curriculum focused on UI patterns and responsive design, and a web security knowledge base detailing attack vectors a

DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations. The platform distinguishes itself through its focus on grounding artificial intelligence and autono

Arize Phoenix is an LLM observability platform and evaluation framework designed to capture execution traces and monitor large language model applications. It serves as a prompt management system for versioning and testing templates, and as a self-hosted AI operations infrastructure for managing telemetry and experiments. The platform differentiates itself through a specialized embedding visualization tool used to detect data drift and optimize vector search. It provides a comprehensive evaluation suite that utilizes judge-based evaluators and ground-truth datasets to score model outputs, and

aws-sam-local este un emulator bazat pe Docker utilizat pentru rularea și depanarea funcțiilor AWS Lambda și a configurațiilor API Gateway pe o mașină locală. Oferă un mediu de execuție local care imită runtime-ul AWS Lambda, permițând verificarea codului funcțiilor și a mock-urilor de aplicații serverless înainte de implementarea în cloud. Proiectul utilizează un orchestrator de runtime pentru a gestiona containere efemere, replicând mediul de execuție izolat al funcțiilor cloud. Include un simulator de API gateway serverless și instrumente de mocking pentru evenimente, pentru a sintetiza payload-uri din surse precum Kafka și alte declanșatoare cloud. Instrumentul susține ciclul de dezvoltare mai larg pentru Serverless Application Model, permițând prototiparea locală a API-urilor serverless și simularea diverselor surse de evenimente cloud. Oferă un mediu de depanare pentru identificarea erorilor în funcțiile serverless, cu control complet asupra stării de execuție.

Gevent is a Python coroutine concurrency library and asynchronous task manager designed for high-concurrency I/O tasks. It provides a cooperative networking framework for building asynchronous TCP, UDP, and HTTP servers, as well as a WSGI web server implementation for hosting web applications. The project is distinguished by its standard library monkey-patching tool, which replaces blocking synchronous functions with cooperative versions to enable asynchronous behavior in third-party code. This allows for a cooperative multitasking workflow where the system yields execution during I/O waits t

AliSQL is a fork of MySQL by Alibaba that extends the relational database management system with enhancements for high performance, scalability, and enterprise-grade availability. It retains the core MySQL identity as a SQL-based database for storing, organizing, and retrieving structured data, while adding optimizations for large-scale transactional and analytical workloads. The project differentiates itself through a set of Alibaba-specific improvements, including a columnar engine for accelerating analytical queries directly on MySQL tables, and a distributed, shared-nothing NDB Cluster en

Taiga UI is an Angular UI component library and accessible design system used for building enterprise web interfaces. It provides a comprehensive collection of reusable interface elements and layout tools, functioning as a mobile-first UI kit with responsive components that adapt to different device capabilities. The library distinguishes itself through an integrated data visualization library featuring various chart types and a dedicated form management framework with built-in validation and formatting for specialized data. It also features AI-driven development workflows by integrating comp

AWS Powertools for Python is a utility framework designed for building production-ready Python functions on AWS Lambda. It provides a comprehensive suite of tools for observability, event parsing, routing, and idempotency management to streamline the development of serverless applications. The project distinguishes itself through specialized capabilities for event-driven architectures and AI agent orchestration. It enables the implementation of AI agents by exposing functions as tools via OpenAPI schemas and managing conversation states. Additionally, it features an idempotency library that p

This project provides a collection of architectural guidelines and operational standards for building secure, maintainable, and scalable server-side software systems. It establishes a framework for implementing consistent development environments, system observability, and data security practices across distributed application environments. The repository focuses on standardizing software engineering conventions to ensure environment parity and system transparency. It covers the implementation of aggregated health monitoring, request throttling, and secure data handling, including the use of