Search Results for "qa"
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Showing 1005 open source projects for "qa"
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kotaemon
An open-source RAG-based tool for chatting with your documents
An open-source clean & customizable RAG UI for chatting with your documents. Built with both end users and developers in mind. This project serves as a functional RAG UI for both end users who want to do QA on their documents and developers who want to build their own RAG pipeline. -
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JavaMelody
Monitoring of JavaEE applications
The goal of JavaMelody is to monitor Java or Java EE applications in QA and production environments. The goal of JavaMelody is to monitor Java or Java EE applications in QA and production environments. It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. JavaMelody is open-source (ASL) and production-ready: in production in an application of 25 person-years. ... -
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ZentaoPMS
Zentao is an agile(scrum) project management system/tool
ZenTao is an open-source project management software focused on Agile methodologies, particularly Scrum. It integrates product management, project planning, QA, and DevOps into a single solution. ZenTao is widely used for managing software development lifecycles in enterprises and includes both a community and enterprise version. -
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ipasim
iOS emulator for Windows
ipasim (IPA Simulator) is a Windows-based iOS simulator designed to run IPA files directly on Windows without an actual iOS device. It helps developers and testers run iOS apps in a simulated environment. -
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dyrector.io
dyrector.io is a self-hosted continuous delivery & deployment platform
...Replace multiple tools with a single platform that allows you to manage your entire infrastructure and the containerized applications that run on it. You're also able to initiate deployments to multiple environments simultaneously instead of repeated, manual processes. QA no longer needs help to test your services. Enable them to autonomously configure and deploy various versions of microservices to test environments. They have the flexibility to run arbitrary workloads on any accessible nodes, potentially transforming their local machines or any remote infrastructures into testing platforms. -
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PHP Insights
Instant PHP quality checks from your console
The perfect starting point to analyze the code quality of your PHP projects. Analysis of code quality and coding style. Beautiful overview of code architecture and it's complexity. Designed to work out-of-the-box with Laravel, Symfony, Yii, WordPress, Magento2, and more. Contains built-in checks for making code reliable, loosely coupled, simple, and clean. PHP Insights was carefully crafted to simplify the analysis of your code directly from your terminal, and is the perfect starting point... -
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AI Runner
Offline inference engine for art, real-time voice conversations
...It is implemented as a desktop-oriented Python application and emphasizes privacy and self-hosting, allowing users to work with text-to-speech, speech-to-text, text-to-image and multimodal models without sending data to external services. At the core of its LLM stack is a mode-based architecture with specialized “modes” such as Author, Code, Research, QA and General, and a workflow manager that automatically routes user requests to the right agent based on the task. The project has a strong focus on developer ergonomics, with thorough development guidelines, environment configuration using .env variables, and a clear structure for tests, tools and agents. -
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k6
A modern load testing tool, using Go and JavaScript
The best developer experience for load testing. Open source and SaaS for engineering teams. Test early and continuously—break the QA silo in performance testing. Backend and frontend engineers prevent regressions when running performance tests. Test scalability to improve your reliability targets. Test SLOs and avoid SLA breaches. Shift left and collaborate with developers for effective and continuous testing. Use the same script for local, distributed, and cloud tests. -
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Qwen-Image-Layered
Qwen-Image-Layered: Layered Decomposition for Inherent Editablity
...By combining text and structured image representations, it aims to facilitate tasks where both descriptive and structural understanding are important, such as detailed image QA, interactive image editing via prompt layers, and image-conditioned generation with structural control. The layered approach supports training signals that help the model learn how visual elements relate to each other and to textual context, rather than simply learning global image embeddings. -
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Windows-MCP
MCP server enabling AI agents to control and automate Windows OS
...It acts as a bridge that allows large language models to directly interact with desktop environments, enabling automated control over applications, files, and system interfaces. Windows-MCP provides capabilities such as file navigation, application management, UI interaction, and QA testing workflows, making it suitable for building autonomous desktop agents. It focuses on native interaction with Windows UI elements rather than relying on traditional computer vision techniques, which simplifies integration and improves efficiency. It includes a set of tools that simulate user inputs like keyboard and mouse actions while also capturing the current state of windows and interfaces. ... -
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Synthetic Data Kit
Tool for generating high quality Synthetic datasets
Synthetic Data Kit is a CLI-centric toolkit for generating high-quality synthetic datasets to fine-tune Llama models, with an emphasis on producing reasoning traces and QA pairs that line up with modern instruction-tuning formats. It ships an opinionated, modular workflow that covers ingesting heterogeneous sources (documents, transcripts), prompting models to create labeled examples, and exporting to fine-tuning schemas with minimal glue code. The kit’s design goal is to shorten the “data prep” bottleneck by turning dataset creation into a repeatable pipeline rather than ad-hoc notebooks. ... -
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Metrics
Capturing JVM and application-level metrics
Metrics is a Java library which gives you unparalleled insight into what your code does in production. Metrics provides a powerful toolkit of ways to measure the behavior of critical components in your production environment. With modules for common libraries like Jetty, Logback, Log4j, Apache HttpClient, Ehcache, JDBI, Jersey and reporting backends like Graphite, Metrics provides you with full-stack visibility. The central library for Metrics is metrics-core, which provides some basic... -
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Neosync
Open Source Data Security Platform for Developers to Monitor
...Designed with extensibility and data governance in mind, Neosync integrates with common databases and cloud services, enabling safe test environments for development and QA. -
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PokeeResearch-7B
Pokee Deep Research Model Open Source Repo
...It is built to operate end-to-end: planning a research strategy, gathering sources, reasoning over conflicting claims, and writing a grounded response. The repository includes evaluation results on multi-step QA and research benchmarks, illustrating how web-time context boosts accuracy. Because the system is modular, you can swap the search component, reader, or policy to fit private deployments or different data domains. It’s aimed at developers who want a transparent, hackable research agent they can run locally or wire into existing workflows. -
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cypress
Fast, easy and reliable testing for anything that runs in a browser
...Build up a suite of CI tests, record their results and gain powerful insights. Install the Cypress Test Runner and write tests locally. Cypress has been made specifically for developers and QA engineers, to help them get more done. Cypress is based on a completely new architecture. No more Selenium. Lots more power. -
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Loki Mode
Multi-agent autonomous startup system for Claude Code
Loki Mode is a multi-agent autonomous execution system designed to take structured product requirements or specifications and autonomously drive the creation, testing, deployment, and scaling of complex software projects using a large team of specialized AI agents. It orchestrates dozens of agent types across swarms that handle designated roles — such as architecture, coding, QA, deployment, and business workflows — running in parallel to cover both engineering and operational tasks without continuous human intervention. By supporting multiple AI providers (like Claude Code, OpenAI Codex CLI, and Google Gemini CLI), loki-mode dynamically selects and spawns only the needed agents for a given project, optimizing computational resources and task throughput. ... -
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Easy DataSet
A powerful tool for creating datasets for LLM fine-tuning
Easy DataSet is a comprehensive open-source tool designed to make creating high-quality datasets for large language model fine-tuning, retrieval-augmented generation (RAG), and evaluation as easy and automated as possible by providing intuitive interfaces and powerful parsing, segmentation, and labeling tools. It supports ingesting domain-specific documents in a wide range of formats — including PDF, Markdown, DOCX, EPUB, and plain text — and can intelligently segment, clean, and structure... -
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Lucky
A full-featured Crystal web framework that catches bugs for you
...You and your users will love the extra dose of speed. Authentication, asset management, CORS, database ORM, and more can all be included when creating a new Lucky project. Instead of finding bugs in QA or in production, Lucky is designed to catch as many bugs as possible at compile time. Lucky uses Action classes for handling HTTP requests and responses. The classes map the routes and parameters it handles to a response block. Lucky can generate these classes for you with ’lucky gen.action`. Using a class per action provides very solid automatic error detection, as well as the generation of routing, path, and link helpers and methods. -
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Configure your Node.js Applications
Node.js application configuration
Node-config organizes hierarchical configurations for your app deployments. It lets you define a set of default parameters, and extend them for different deployment environments (development, qa, staging, production, etc.). Configurations are stored in configuration files within your application, and can be overridden and extended by environment variables, command line parameters, or external sources. This gives your application a consistent configuration interface shared among a growing list of npm modules also using node-config. config.get() will throw an exception for undefined keys to help catch typos and missing values. ... -
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SIPVicious
Security tools that can be used to audit SIP based VoIP systems
SIPVicious OSS has been around since 2007 and is actively updated to help security teams, QA and developers test SIP-based VoIP systems and applications. Open-source security suite for auditing SIP based VoIP systems. Also known as friendly-scanner, it is freely available to help pentesters, security teams and developers quickly test their SIP systems. Download the latest source code from git or the latest release, send pull requests and open issues. -
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firerpa LAMDA
The most powerful Android RPA agent framework
...Together with companion projects (e.g., a device hub), lamda is positioned as a next-generation mobile automation stack rather than a single tool. Its focus on remote control plus RPA primitives makes it useful for QA, operations, and large-scale device orchestration. -
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VisualGLM-6B
Chinese and English multimodal conversational language model
...Trained on a large bilingual dataset — including 30 million high-quality Chinese image-text pairs from CogView and 300 million English pairs — VisualGLM-6B is designed for image understanding, description, and question answering. Fine-tuning on long visual QA datasets further aligns the model’s responses with human preferences. The repository provides inference APIs, command-line demos, web demos, and efficient fine-tuning options like LoRA, QLoRA, and P-tuning. It also supports quantization down to INT4, enabling local deployment on consumer GPUs with as little as 6.3 GB VRAM. -
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LongBench
LongBench v2 and LongBench (ACL 25'&24')
LongBench is a comprehensive benchmark designed to evaluate the ability of large language models to understand and reason over very long textual contexts. Traditional language model benchmarks typically evaluate tasks involving relatively short inputs, which does not reflect many real-world applications such as analyzing large documents or entire code repositories. LongBench addresses this gap by providing datasets that require models to process and reason over long sequences of text across... -
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Chinese-XLNet
Chinese XLNet pre-trained model
Chinese-XLNet is a Chinese language pre-trained model based on the XLNet architecture, providing an advanced foundation for natural language processing tasks in Mandarin and other Chinese dialects. Unlike traditional masked language modeling, XLNet uses a permutation language modeling objective that captures bidirectional context more effectively by training over all possible token orderings, yielding richer contextual representations. This model is trained on large-scale Chinese text... -
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ML Ferret
Refer and Ground Anything Anywhere at Any Granularity
Ferret is Apple’s end-to-end multimodal large language model designed specifically for flexible referring and grounding: it can understand references of any granularity (boxes, points, free-form regions) and then ground open-vocabulary descriptions back onto the image. The core idea is a hybrid region representation that mixes discrete coordinates with continuous visual features, so the model can fluidly handle “any-form” referring while maintaining precise spatial localization. The repo...
