An ORM-Mapper with a shared model between client and server for MongoDB
Shared SDK for C4 Modelizer applications - Types, Zustand store and reusable hooks
Command line tools to install and manage plugins in leto-modelizer
Kubernetes plugin for Leto-Modelizer.
Terraform plugin for Leto-Modelizer.
Github action plugin for Leto modelizer.
Lightweight and intuitive Object-Relational Mapping (ORM) package designed to work with JSON files as a data storage solution.
Library that contains all models for modelling tools in Leto's projects.
Control your models and database access in a simplified way
No description provided.
Control your models and database access in a simplified way
No description provided.
An ORM-Mapper with a shared model between client and server for MongoDB
modelFactory makes working with RESTful APIs in AngularJS easy
modelFactory makes working with RESTful APIs in AngularJS easy
Generates CRUD rust code for a database model (only sqlx supported for now).
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
Need a simple, consistent way to create model instances and check validations in your ActiveRecord 3.1+ tests? Use the Modelizer. Just don't trust the docs, since lots changed in 5.x and I got lazy.
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.