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Model definition, loading, and fine-tuning framework for transformer-based architectures across text, vision, audio, and multimodal domains with unified APIs for inference and training.

Official NVIDIA high-performance inference optimization library for Large Language Models on NVIDIA hardware, providing advanced kernels, quantization, and orchestration.

Open-source autopilot flight control software stack for multirotor, fixed-wing, and VTOL unmanned aerial vehicles (UAVs), providing real-time control algorithms, sensor fusion, navigation, and hardware abstraction across diverse embedded platforms.

Workflow orchestration platform for authoring, scheduling, and monitoring data pipelines and ETL processes

End-to-end open-source software stack for autonomous driving, providing modules for sensing, localization, perception, planning, and control.

Production-grade WebAssembly runtime with JIT compilation, sandboxing, and WASI support for executing WASM modules across multiple platforms

Meta-operating system and middleware for robot development, providing communication, coordination, and tooling across distributed robot systems

Production-grade inference serving platform for deploying and managing machine learning models across cloud and edge environments with multi-backend support, batching, and dynamic loading.

Official Go implementation of the Model Context Protocol (MCP) for building interoperable AI clients and servers that connect LLMs to data sources and tools.

Model Context Protocol: A standard specification and reference implementation for connecting AI models to external data sources, tools, and context via a unified protocol

High-throughput, memory-efficient LLM inference and serving engine with optimized batching, KV-cache management, and multi-GPU/hardware support

LLM application framework providing abstractions for chaining language models, memory, retrieval, and agents with pluggable integrations across 100+ external services

Framework for building stateful, multi-step agent applications using a graph-based execution model with built-in persistence, streaming, and human-in-the-loop capabilities.

A unified framework for deep-learning-based visual anomaly detection, providing SOTA algorithms, benchmarking tools, and deployment pipelines for industrial inspection.

Graph-based Retrieval-Augmented Generation (RAG) system that extracts entities and relationships from documents to build knowledge graphs for improved LLM context retrieval

Production-grade ROS 2 navigation framework providing autonomous robot path planning, localization, and costmap-based obstacle avoidance for mobile robotics

Long-horizon agent orchestration framework enabling multi-step reasoning, code generation, and task execution through sandboxed environments, persistent memory, tool integration, and hierarchical subagent coordination.

High-performance serving framework for large language models and multimodal models with optimized inference execution and structured generation capabilities.

Software supply chain risk management and component analysis platform for identifying vulnerabilities, license compliance, and dependencies across software projects

Production-ready low-code platform for building, deploying, and managing AI agent workflows and LLM applications with visual builder, RAG capabilities, and multi-model support

Foundation model and inference framework for generalist robot control and perception, enabling multi-modal learning across diverse robotic morphologies and tasks

Lightweight, high-performance WebAssembly runtime for edge computing, serverless, and IoT with extensible plugin architecture

Official catalog and reference implementations of Model Context Protocol (MCP) servers for standardizing AI model access to tools, data sources, and external systems

A multi-agent orchestration framework that enables complex task solving through automated conversations between multiple customizable AI agents, supporting both Python and .NET ecosystems.

Lightweight WebAssembly runtime optimized for embedded systems, IoT, and resource-constrained environments. Provides a compact, portable alternative to full WASM runtimes with JIT, interpreter, and AOT compilation modes.

Modular, production-grade autonomous driving software stack with perception, planning, control, and simulation components for real-world and simulated vehicle deployment

Orchestration framework for building stateful, multi-agent applications using graph-based logic with support for cycles and persistence.

High-performance neural network inference framework optimized for mobile and embedded platforms with minimal dependencies and extreme efficiency

Framework for building AI agents with structured outputs, tool use, and multi-model support via Pydantic validation

Cross-platform hardware abstraction layer and SDK for building AI-integrated IoT devices across multiple chip architectures (ESP32, Tuya-specific silicon, etc.).

Workflow orchestration framework for building, scheduling, and monitoring resilient data pipelines in Python

Open lakehouse data format optimized for multimodal AI workloads, providing fast random access, vector indexing, and data versioning with seamless integration across data science ecosystems.

Lightweight, fast retrieval-augmented generation (RAG) system using graph-based entity and relationship extraction for efficient document retrieval and LLM augmentation

Unified LLM API abstraction layer and gateway that normalizes requests/responses across 100+ LLM providers into OpenAI-compatible format, with cost tracking, load balancing, and guardrails.

A production-grade developer framework for building, deploying, and monitoring AI-powered applications with support for multi-language (JS/Go/Python) environments and deep Google Cloud/Firebase integration.

An end-to-end LLM orchestration framework focused on modular, production-grade pipelines for RAG, agentic workflows, and semantic search.

All-in-one AI productivity platform combining document management, multi-model LLM support, RAG, and workspace collaboration with on-device execution and privacy-first architecture

Open standard for expressing, sharing, and validating security control definitions, assessments, and compliance documentation across organizations and tools

Data integration platform providing ETL/ELT pipelines connecting APIs, databases, and files to data warehouses, lakes, and lakehouses with self-hosted and cloud deployment options.

Visual workflow automation platform with 400+ integrations, AI capabilities, and hybrid code/no-code execution model. Self-hostable or SaaS, targeting enterprise automation use cases.

CLI tool and library for generating Software Bill of Materials (SBOM) from container images and filesystems by scanning packages and files.

Generic control framework for ROS 2 enabling hardware abstraction, controller management, and real-time control of robotic systems

Official C# SDK for implementing Model Context Protocol (MCP) servers and clients, enabling .NET applications to interact with LLM-powered services via a standardized protocol.

Generates CycloneDX Software Bill of Materials (SBOM) for Node.js projects, identifying components, licenses, and dependencies for security and compliance tracking.

Security design framework and conformance testing methodology for AI agent protocols (MCP, A2A, ANP, ACP). Defines a 6-layer architectural model for agent protocol security and provides systematic testing approach.

Automates the generation of CycloneDX Software Bill of Materials (SBOM) for Gradle-based projects by analyzing the dependency graph during the build process.

Multi-agent collaboration platform and IDE for building, deploying, and orchestrating AI agent teams with plugin ecosystem and conversational UI

Distributed SQL query engine optimized for sub-second analytics on data lakehouses and warehouses, supporting real-time and ad-hoc analytical workloads

Unified fine-tuning framework for 600+ LLMs and 300+ MLLMs using PEFT/full-parameter training with support for CPT/SFT/DPO/GRPO methods

Production-grade quantum Monte Carlo simulation engine for ab initio electronic structure calculations with portable GPU acceleration across diverse hardware platforms

Framework for building real-time voice and video AI agents with live communication capabilities

Open-source quantum computing software platform enabling quantum algorithm development, quantum machine learning, and quantum chemistry simulations with hardware-agnostic abstractions across multiple quantum backends.

Production serving platform for large language models, specifically designed and deployed for Moonshot AI's Kimi LLM service at scale

Open-source workflow automation and AI agent orchestration platform with ~400 MCP (Model Context Protocol) server integrations for AI-driven task automation

Open-source toolkit for optimizing and deploying AI model inference across CPUs, GPUs, and edge devices with support for multiple frameworks (TensorFlow, PyTorch, ONNX)

Enterprise-grade centralized registry and gateway for Model Context Protocol (MCP) servers, providing unified authentication, dynamic tool discovery, and auditable access control for AI agents and coding assistants.

High-performance graph database optimized for knowledge graph workloads and LLM integration, built on sparse matrix algebra (GraphBLAS) for efficient graph traversal and pattern matching.

Official CycloneDX library and CLI for generating Software Bill of Materials (SBOM) for Python projects, supporting multiple package managers and dependency formats.

Open-source LLM observability and engineering platform providing tracing, metrics, evals, prompt management, and experimentation capabilities for LLM applications

Unified model optimization library providing quantization, pruning, distillation, and speculative decoding to compress deep learning models for inference deployment on NVIDIA hardware and frameworks

Embeddable JavaScript engine implementation in Rust, providing ECMAScript interpreter and runtime for Rust applications

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG with incremental computation and unified batch/stream semantics

Comprehensive evaluation toolkit for vision-language models (VLMs/LMMs), providing standardized benchmarking across 220+ models and 80+ datasets with unified inference and scoring pipelines.

React component library and typescript SDK for building conversational AI/chatbot interfaces, providing composable UI components, state management, and real-time streaming support

Zenoh plugin that enables ROS2 to use Zenoh as a DDS RMW (ROS Middleware), providing an alternative to standard DDS implementations with improved scalability and edge computing capabilities.

Framework for orchestrating multiple autonomous AI agents with role-playing and collaborative task execution

Foundation models for genomic and transcriptomic sequence understanding, providing pre-trained transformers for DNA/RNA analysis and downstream task adaptation

eBPF-based distributed tracing and profiling platform for cloud-native infrastructure observability without code instrumentation

Low-code web framework for converting data/ML algorithms into production-ready applications with integrated data pipelines, scenario management, and interactive UI components

Web-based conversational UI for interfacing with multiple LLM backends (Ollama, OpenAI, etc.) with chat history, RAG, and agent capabilities

Cross-table format converter enabling interoperability between lakehouse table formats (Iceberg, Delta Lake, Hudi) for query engines and data processing systems

AI-driven browser automation and workflow orchestration platform that uses vision and language models to automatically execute complex web-based tasks without explicit scripting

Generate high-quality synthetic data from scratch or seed data for training machine learning models, with focus on domain-specific data synthesis and quality control.

JVM-native WebAssembly runtime enabling execution of WASM binaries on the Java Virtual Machine without external dependencies

Cloud-native lakehouse framework enabling real-time data ingestion, concurrent ACID updates, and incremental analytics on object storage with BI/AI support

SDLC evidence store and policy engine for software supply chain attestations, SBOMs, VEX, SARIF, and QA reports with centralized governance and compliance verification

Low-code visual workflow engine for real-time stream processing and data automation; enables non-technical users to design, deploy, and monitor streaming data pipelines without writing code

A unified pub/sub and data fabric platform that integrates messaging, distributed storage, queries, and computation with geo-distributed capabilities and high efficiency for edge-to-cloud deployments.

Unified real-time data platform: distributed in-memory data store with integrated stream processing and event-driven architecture

KSQL: SQL database engine purpose-built for stream processing and real-time analytics on Apache Kafka

Automated runtime monitor generation for safety-critical aerospace and robotics systems from formal specifications

Open-source, self-hosted Firebase alternative with sub-millisecond latency, type-safe APIs, WebAssembly runtime, real-time subscriptions, and built-in auth/admin UI

AI-generated gene editing systems using machine learning to design novel CRISPR variants and improve editing efficiency

Official ROS1 and ROS2 hardware driver for the Schunk SVH (Schunk Five-finger Hand), providing low-level motor control and sensor feedback for dexterous robotic manipulation.

Generates CycloneDX-compliant Software Bill of Materials (SBOM) for .NET projects and solutions by analyzing NuGet dependencies.

Data infrastructure for multimodal AI workloads with declarative, incremental computation and versioning

AI-native proxy and data plane for agentic applications with orchestration, safety, observability, and LLM routing capabilities

Distributed data processing and storage platform for petabyte-scale analytics with fault tolerance, scheduling, and multi-tenancy

Open-source federated metadata catalog system for managing and governing multi-source data assets across distributed environments with unified metadata discovery, lineage tracking, and access control.

MCP (Model Context Protocol) server enabling LLMs and AI assistants to interact with dbt projects, query lineage, execute commands, and retrieve metadata

Cloud-native data warehouse with unified architecture for analytics, search, and AI workloads, built on S3 with Python sandbox capabilities

Model Context Protocol (MCP) server enabling LLM agents to connect to, query, and interact with MongoDB databases and Atlas clusters through a standardized interface

Generate synthetic tabular data that preserves statistical properties and relationships while protecting privacy

High-performance neural network inference engine optimized for on-device and edge deployment, with quantization, model compression, and multi-platform support (mobile, IoT, cloud).

Full-stack AI red teaming and security scanning platform for AI ecosystems, covering LLM jailbreaks, agent vulnerabilities, skill exploits, MCP protocol flaws, and infrastructure weaknesses

Framework for serving machine learning models and AI applications as APIs, with support for batching, multi-model pipelines, async job queues, and LLM app deployment.

Extensible supply-chain security analysis framework for detecting malicious packages, validating build systems, and enforcing SLSA compliance across CI/CD pipelines

Comprehensive deepfake detection dataset and benchmark covering 40 distinct deepfake generation techniques, including state-of-the-art methods, with evaluation framework for detector generalization.

Open-source enterprise AI chat platform with multi-LLM support, RAG capabilities, and knowledge base integration

Design automation and simulation framework for topological quantum error correction (TQEC) codes, enabling researchers to model and optimize fault-tolerant quantum computing architectures

Superconducting quantum controller hardware enabling high-fidelity qubit gate operations (>99.9%) at millikelvin temperatures through direct chip-to-chip interconnection and all-digital control

Browser automation CLI tool enabling AI agents to programmatically control web browsers for task execution and web interaction

Software framework for building, simulating, and deploying neuromorphic computing applications using spiking neural networks (SNNs) and event-driven architectures

Python SDK for LLM application instrumentation and tracing, providing observability through decorators and low-level APIs

Accelerated quantum-classical computing libraries built on NVIDIA's CUDA-Q framework, providing GPU-optimized subroutines for hybrid quantum algorithms and quantum circuit simulation.

Automated pipeline for predicting protein-coding gene structures in novel eukaryotic genomes using GeneMark and AUGUSTUS

Web UI and optimization framework for fine-tuning and running open-source LLMs locally with reduced memory/compute requirements

Continuous screen and audio capture with local AI indexing to enable agents that understand user context and automate tasks based on real-time activity

Frontend framework and SDK for building agentic UI with LLM integration, providing React/Angular components, state management, and agent orchestration for generative applications

Official CycloneDX tool for generating Software Bill of Materials (SBOMs) from Go modules, providing visibility into software supply chains.

PyTorch GPU operator library optimized for GenAI training/inference with FP8 quantization and collective communications primitives

Real-time stream processing library for Python with support for reactive programming patterns, lazy evaluation, and distributed computation

Generate and analyze Software Bill of Materials (SBOM) for Nix-based software supply chains, with vulnerability scanning and dependency analysis

Quantum error correction compiler implementing lattice surgery surface code techniques for fault-tolerant quantum computing

Local multi-source deep research pipeline with 95% SimpleQA benchmark performance; searches 10+ sources (arXiv, PubMed, web, private docs) with support for local and cloud LLMs, privacy-first architecture

Full-stack quantum computing framework providing high-level abstractions for circuit definition, simulation, and execution on quantum hardware backends

Advanced quantization and compression techniques for neural network models with post-training and training-aware optimization

Fully autonomous AI agents system for penetration testing and security assessment automation

Terminal-based AI agent that writes code, executes shell commands, and browses the web with persistent state and tool composition

Autonomous AI agent for end-to-end antibody design and drug discovery, executing literature review through computational validation and candidate selection via multi-stage workflow orchestration

Production-grade C++17 implementation of Monte Carlo Localization (MCL) algorithms with ROS 1/2 integration for robot pose estimation

Genomic foundation model for automated metagenomic sequence annotation and functional classification

Autonomous AI agent framework enabling multi-step reasoning, tool use, and file/code manipulation with local LLM support and extensible architecture

GPU cluster manager for orchestrating distributed inference engines (vLLM, SGLang) with automatic configuration, scheduling, and resource management across heterogeneous GPU hardware.

Agent toolkit for querying and interacting with the Data Commons Knowledge Graph via Model Context Protocol (MCP) servers

Pairmixer: A computationally efficient alternative to AlphaFold3's Pairformer backbone for biomolecular structure prediction, replacing expensive triangle attention with streamlined triangular primitives to enable large-scale protein folding applications.

Open-source RAG (Retrieval-Augmented Generation) engine with agent capabilities, providing a context layer for LLMs with document ingestion, chunking, vector search, and agentic orchestration.

Automated quantization of large language models to low-bit precision using rounding-based algorithms, optimized for CPU/XPU/CUDA inference with broad framework compatibility

Reference implementation of a Retrieval Augmented Generation (RAG) pipeline with NVIDIA optimizations for vector search, embedding, and LLM inference.

OpenTelemetry-native observability platform for LLM applications, providing integrated monitoring, guardrails, evaluations, prompt management, and multi-provider instrumentation.

Container-native framework for local AI model serving and inference management with OCI-compliant abstraction across heterogeneous model sources

Möbius decoder implementation for color codes in quantum error correction

Desktop AI productivity studio providing unified chat interface, autonomous agents, and 300+ pre-built assistants with multi-LLM support (OpenAI, Claude, Gemini, local models)

Educational curriculum and reference implementation for Model Context Protocol (MCP) across multiple programming languages

Self-hosted document annotation, semantic search, and knowledge base construction platform with support for human-AI collaboration and MCP integration

Community-driven prompt repository and discovery platform for sharing, organizing, and self-hosting ChatGPT/LLM prompts with privacy controls

Machine learning-based prediction of protein-ligand binding sites from 3D protein structures using structural features and trained classifiers

Framework for deploying AI agents as scalable microservices with built-in observability, identity management, and multi-tenant isolation.

JVM-based agent framework for building autonomous systems with multi-agent orchestration, message passing, and distributed task execution

Privacy-preserving federated learning framework with differential privacy and secure aggregation for distributed machine learning

Analytics, versioning, and ETL framework for multimodal data (video, audio, PDFs, images) with built-in data lineage and versioning capabilities

Integration plugin bridging PennyLane quantum machine learning framework with IBM Qiskit quantum computing backend and IBM Q hardware

Model Context Protocol (MCP) server implementation for biomedical data access and LLM integration, enabling AI models to query genomic and clinical databases through standardized interfaces

Control plane for provisioning and orchestrating GPU compute across heterogeneous infrastructure (cloud, Kubernetes, bare-metal) and diverse accelerators (NVIDIA, AMD, TPU, Tenstorrent)

Computer-aided design (CAD) tool for modeling, analysis, and design of genetic circuits with SBML/SBOL support

Collection of pre-optimized ML models targeting Qualcomm device deployment with performance optimization for latency and memory constraints

Secure, self-hosted personal agent server supporting multi-provider LLMs, voice I/O, and integrations with messaging platforms (Telegram, WhatsApp, Discord, Teams) plus MCP tools, with sandboxed execution and persistent memory.

Model Context Protocol (MCP) server that bridges AI assistants (Claude, Cursor) with Unity Editor, enabling LLM-driven automation of asset management, scene control, script editing, and task orchestration.

Predict 3D RNA structures from sequence using language model-based deep learning

Configuration-driven agent framework for building long-horizon autonomous agents with multi-turn reasoning, skill composition, and complex task orchestration without code modifications.

Zero-copy inter-process communication (IPC) middleware for ROS 2, enabling efficient message passing between processes using shared memory without serialization overhead.

AI-powered code completion and assistance plugin for Apple's Xcode IDE

Long-context generative foundation model for genomic sequence generation and analysis, trained on large-scale DNA/RNA datasets

Long-context generative foundation model for DNA sequence modeling and genomic function interpretation, supporting 98k nucleotide context windows

Portable memory abstraction layer for autonomous coding agents, enabling context persistence and retrieval across agent sessions

Python robotics control and manipulation planning library with motion planning, collision checking, and trajectory optimization for physical and simulated robots

Long-context genomic foundation model enabling dense attention over 192,000 base pair sequences for DNA/RNA analysis and generation

Hallucination detection and confidence assessment for protein structure predictions by analyzing topological frustration via diffusion embeddings from AlphaFold3

Fine-tuning and training engine for large language models (LLMs) and mixture-of-experts (MoE) models, with support for low-rank adaptation (LoRA), quantization, and distributed training

MCP server enabling LLM agents to interact with Microsoft 365 services (Teams, OneDrive, SharePoint, Exchange, Outlook) via the Microsoft Graph API

Integrated platform for building, evaluating, and optimizing AI systems with support for evals, RAG, agents, fine-tuning, synthetic data generation, and dataset management.

High-throughput GPU-accelerated simulator for noisy quantum circuits with native quantum error correction support, using ZX diagram representation and Pauli channel modeling.

Large-scale dataset of 2,000+ individuals with 500+ question responses for training and validating LLM-based digital twin models that simulate human behavior

Local audio analysis and automatic playlist generation for self-hosted music servers (Jellyfin, Navidrome, LMS, Emby) using ONNX-based sonic feature extraction and ML-driven curation

Nextflow pipeline for CRISPR gene editing analysis, supporting targeted NGS quality assessment and pooled CRISPR screening data analysis

Low-code framework for constructing modular RAG (Retrieval-Augmented Generation) pipelines with multi-stage orchestration, entity extraction, and flexible data flow composition

Framework for building web agents and deploying serverless web automation functions with managed browser infrastructure

MCP server and CLI tooling for iOS/macOS development automation and agent-assisted Xcode project workflows

End-to-end framework for simulating and deploying autonomous drone swarms with perception (YOLO, LiDAR) on PX4/ArduPilot autopilots, integrated with ROS2 and NVIDIA Jetson hardware

Novel theoretical framework for understanding and optimizing Mixture-of-Experts (MoE) architectures by modeling token routing as constrained expert paths that align with linguistic function, enabling sparse computation and improved efficiency.

Open source software supply chain security scanner for dependency detection, vulnerability identification, and license compliance analysis

End-to-end encrypted vulnerability report generator and management system with multi-source import (Nmap, Nessus, Burp, OpenVAS, Bugcrowd, Trivy) and templating for compliance frameworks (CWE, CVE, MITRE ATT&CK, PCI DSS)

C++ SDK implementation of the Model Context Protocol (MCP) with enterprise security, observability, and connectivity features for building secure AI agent integrations

End-to-end framework for developing and validating AI/ML models for cellular Radio Access Networks (RAN) with bridging of the simulation-to-field reality gap for 5G/6G deployment

Enterprise platform for running, managing, and orchestrating Model Context Protocol (MCP) servers with deployment, monitoring, and integration capabilities

Full-stack spreadsheet framework with AI-native capabilities, enabling collaborative spreadsheet creation/editing across web and server with natural language interfaces

Local-first, privacy-preserving LLM inference platform providing offline ChatGPT-like capabilities on consumer hardware

Comprehensive observability platform combining OpenTelemetry with eBPF for automated system monitoring, tracing, and LLM-powered troubleshooting

Secure sandbox runtime for executing untrusted AI agent code using WebAssembly with isolation guarantees

GPU-accelerated multiscale robotic simulation framework for creating digital twins of chemistry laboratories to accelerate materials discovery workflows and reduce physical experimental iterations

Low-code multi-agent AI orchestration framework for automating complex workflows with autonomous agents that integrate with messaging platforms (Telegram, Discord, WhatsApp) and support 100+ LLMs.

Universal memory layer providing scalable, extensible storage and retrieval infrastructure for AI agent state management and reasoning

Framework for leveraging pre-trained foundation models on genomic and transcriptomic data, providing unified access to state-of-the-art models for biological sequence analysis and embedding generation.

ROS2 integration stack for KUKA iiwa collaborative robotic arms, providing hardware drivers, control interfaces, and simulation support

JavaScript/TypeScript SDK for LLM application instrumentation, tracing, and observability across any LLM provider or framework

Foundation model for Scanning Electron Microscopy image analysis using Mixture of Experts architecture, enabling multi-task transfer learning across diverse SEM imaging conditions and instruments

Vision-Language-Action foundation model for zero-shot cross-embodiment robotic generalization trained on 10,000+ hours of diverse demonstrations

Decentralized peer-to-peer file storage, synchronization, and social networking system with end-to-end encryption and application protocol layer

Retrieval-augmented genomic foundation model module that uses genomic-specific hashing to efficiently retrieve multi-base motifs, reducing computational overhead while improving accuracy on functional genomics tasks

A high-interaction honeypot framework that uses LLMs and Lua scripting to simulate realistic system environments for threat intelligence and attacker analysis.

TypeScript framework for building AI-powered applications and agents with orchestration, memory, tool integration, and LLM connectivity

High-performance LLM inference and serving framework with lightweight, scalable architecture for deploying large language models

Benchmark suite for evaluating autonomous AI red-teaming capabilities in language models, measuring safety vulnerabilities and adversarial robustness

Curated library and reference implementation collection for quantum algorithms and applications, designed for exploration and learning in quantum computing

Simulation framework for accelerating research in Private Federated Learning (PFL), enabling researchers to prototype and benchmark federated learning algorithms with differential privacy constraints

Release-level software supply chain evidence platform for storing, versioning, and auditing SBOMs, xBOMs, and software artifacts with 10+ year retention and compliance-ready audit trails

High-performance inference and deployment toolkit optimized for large language models (LLMs) and vision-language models (VLMs), providing multi-backend support, quantization, and cross-platform deployment

Event-driven framework for orchestrating multi-agent AI systems with real-world data integration and complex workflow execution

Software framework for designing, simulating, and evaluating quantum error-correction (QEC) protocols with support for multiple code families and noise models

Ruby bindings for Wasmtime WebAssembly runtime, enabling execution of WASM modules from Ruby applications