Fast and flexible data models for node.js and the browser.
Amplify GraphQL relational modeling transformers
Schema for data modeling & validation
Power BI Modeling MCP Server - Node.js client package for installing and running the Power BI Modeling MCP server
OpenTelemetry instrumentation for `mongoose` database object data modeling (ODM) library for MongoDB
Power BI Modeling MCP Server - Node.js client package for installing and running the Power BI Modeling MCP server, for win32 on x64
Embeddable Camunda modeling distributions based on bpmn-js
Embeddable Camunda modeling distributions based on dmn-js
Dynamoose is a modeling tool for Amazon's DynamoDB (inspired by Mongoose)
Modeling arrival processes of events in a system.
Vease Modeling Backend - Microservice for geological modeling operations
Utilities for Concerto Modeling Language
A simple library for modeling spring dynamics
Compose SDK package for implementing the elements of dimensional modeling
Dynamoose is a modeling tool for Amazon's DynamoDB (inspired by Mongoose)
Power BI Modeling MCP Server - Node.js client package for installing and running the Power BI Modeling MCP server, for linux on x64
Web-based Generic Modeling Environment
Power BI Modeling MCP Server - Node.js client package for installing and running the Power BI Modeling MCP server, for darwin on arm64
Core Implementation for the Concerto Modeling Language
Firebase Bolt Security and Modeling Language Compiler
A CVSS vector modeling and score calculation implementation for all CVSS versions by {metæffekt}.
Semantic Modeling Language CLI
TML (ThoughtSpot Modeling Language)
Camunda modeling guidelines, packed as a bpmnlint plug-in
Modeling is a tools to analysis different languages by Ctags
Support for composing large, interacting, complicated state machines
Embedded storage at the speed of light.
The autonomous, self-improving AI agent. Single Rust binary. Every channel. Install with: cargo install opencrabs
A3S Power — Privacy-preserving LLM inference for TEE environments
LLM model integrations for Rust Agent Development Kit (ADK-Rust) (Gemini, OpenAI, Claude, DeepSeek, etc.)
Senior SysAdmin, Network Admin, Data Analyst, and Software Engineer living in your terminal. A high-precision local AI agent harness for LM Studio, Ollama, and other local OpenAI-compatible runtimes that runs 100% on your own silicon. Reads repos, edits files, runs builds, inspects full network state and workstation telemetry, and runs real Python/JS for data analysis.
A comprehensive Rust library for time series analysis and forecasting including moving average, exponential smoothing, autoregressive, and GARCH models
Model factory and registry system for dynamic neural network model creation and management
Right-size LLM models to your system hardware. Interactive TUI and CLI to match models against available RAM, CPU, and GPU.
Core library for llmfit — hardware detection, model fitting, and provider integration
Pre-trained models and model zoo for ToRSh deep learning framework
Adds the ability to quickly model classes. Definitions of instance variables and access methods are reduced to one line. Creating an instance of the modeled class is significantly slower (~20x), so its use for classes whose instances are created frequently is not recommended.
The CocoaPods-Core gem provides support to work with the models of CocoaPods. It is intended to be used in place of the CocoaPods when the the installation of the dependencies is not needed.
An object model for CloudFormation templates
Draper adds an object-oriented layer of presentation logic to your Rails apps.
Track changes to your models, for auditing or versioning. See how a model looked at any stage in its lifecycle, revert it to any version, or restore it after it has been destroyed.
Map an input model to an output model using a mapping model.
A toolkit for building modeling frameworks like Active Record. Rich support for attributes, callbacks, validations, serialization, internationalization, and testing.
REST on Rails. Wrap your RESTful web app with Ruby classes and work with them like Active Record models.
XML serialization for your Active Model objects and Active Record models - extracted from Rails
Log all changes to your models
Ancestry allows the records of a ActiveRecord model to be organized in a tree structure, using the materialized path pattern. It exposes the standard relations (ancestors, parent, root, children, siblings, descendants) and allows them to be fetched in a single query. Additional features include named scopes, integrity checking, integrity restoration, arrangement of (sub)tree into hashes and different strategies for dealing with orphaned records.
RGen is a framework for Model Driven Software Development (MDSD) in Ruby. This means that it helps you build Metamodels, instantiate Models, modify and transform Models and finally generate arbitrary textual content from it.
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