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DingTalk Workspace is an officially open-sourced cross-platform CLI tool from DingTalk. It unifies DingTalk’s full suite of product capabilities into a single package, is designed for both human users and AI agent scenarios.
Apollo is a reliable configuration management system suitable for microservice configuration management scenarios.
fixture builder based on code from fixture scenarios
A C# port of Anti-Grain Geometry (AGG) with extensions for common scenarios
An unordered C++ data container providing fast iteration/insertion/erasure while maintaining pointer/iterator validity to non-erased elements regardless of insertions/erasures. Provides higher-performance than std:: library containers for high-modification scenarios with unordered data.
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.
An early-stage PHP parser designed for IDE usage scenarios.
Use Cypress or Playwright with Rails scenarios, factories, fixtures, app commands, and clean test data.
SAEA.Socket is a high-performance IOCP framework TCP based on dotnet standard 2.0; Src contains its application test scenarios, such as websocket,rpc, redis driver, MVC WebAPI, lightweight message server, ultra large file transmission, etc. SAEA.Socket是一个高性能IOCP框架的 TCP，基于dotnet standard 2.0；Src中含有其应用测试场景，例如websocket、rpc、redis驱动、MVC WebAPI、轻量级消息服务器、超大文件传输等
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
A tool for writing load test scenarios in Golang with a powerful command line runner
A set of useful pre-built and configurable StimulusJS controllers for various common scenarios
A high-performance non-blocking I/O networking framework focusing on RPC scenarios.
Enabling the Windows Subsystem for Linux to include support for Wayland and X server related scenarios
workbench for learning and practicing on-device AI technologies under real-world scenarios on Android smartphones with online TV. powered by llama.cpp + whisper.cpp + FFmpeg + opencv-mobile
A suite of test scenarios for multi-agent reinforcement learning.
Recreate historic battles and military scenarios in your browser
Threat model for Amazon S3 - Library of all the attack scenarios on Amazon S3, and how to mitigate them following a risk-based approach
An open-source, low-cost, image-based weed detection device for in-crop and fallow scenarios.
迅排设计 - 图片编辑器、AI 在线海报设计，仿稿定设计，适用于多种场景：海报生成、电商产品图、文章长图、视频/公众号封面等。A beautiful online image designer, suitable for various scenarios like generate posters, making design easier!
SadServers: Linux & DevOps Troubleshooting Scenarios SaaS
Showcasing Google Cloud's generative AI for marketing scenarios via application frontend, backend, and detailed, step-by-step guidance for setting up and utilizing generative AI tools, including examples of their use in crafting marketing materials like blog posts and social media content, nl2sql analysis, and campaign personalization.
A library of Power BI dashboards, design files, datasets, and visualization resources. Learn dashboard design, explore real-world business scenarios, and accelerate your Power BI development.
A collection of working Alloy scenarios
Interactive Go Interview Platform - 30+ coding challenges with instant feedback, AI interview simulation, competitive leaderboards, and automated testing. From beginner to advanced levels with real-world scenarios.
AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
Rust graph-vector database: OpenCypher (99.9% of evaluated TCK scenarios pass), vector search, graph algorithms, RESP + HTTP. LDBC SNB Interactive and BI complete; 1B edges on one machine.