load the sequelize models/associates
Sequelize is a promise-based Node.js ORM tool for Postgres, MySQL, MariaDB, SQLite, Microsoft SQL Server, Amazon Redshift and Snowflake’s Data Cloud. It features solid transaction support, relations, eager and lazy loading, read replication and more.
The Sequelize CLI
Resource pooling for Node.JS
Framework-agnostic migration tool for Node
Decorators and some other features for sequelize
Sequelize is a promise-based Node.js ORM tool for Postgres, MySQL, MariaDB, SQLite, Microsoft SQL Server, Amazon Redshift, Snowflake’s Data Cloud, Db2, Oracle, and IBM i. It features solid transaction support, relations, eager and lazy loading, read repli
Session store for connect-session using sequelize
Automatically generate bare sequelize models from your database.
sequelize fixture loader
Sequelize is a promise-based Node.js ORM tool for Postgres, MySQL, MariaDB, SQLite, Microsoft SQL Server, Amazon Redshift, Snowflake’s Data Cloud, Db2, Oracle, and IBM i. It features solid transaction support, relations, eager and lazy loading, read repli
GraphQL & Relay for MySQL & Postgres via Sequelize
load the sequelize models/associates for hapi
A simple mock interface specifically for testing code relying on Sequelize models
Sequelize adapter for Casbin
open telemetry instrumentation for the `sequelize` module
pgvector support for Node.js, Deno, and Bun (and TypeScript)
OpenTelemetry instrumentation for `sequelize` ORM
Load Sequelize models into an Atlas project.
Nest - modern, fast, powerful node.js web framework (@sequelize)
Convert Sequelize models into various JSON Schema variants (using the Strategy Pattern)
A service adapter for Sequelize an SQL ORM
Nested hierarchies for Sequelize
Official Express/Sequelize Liana for Forest
A Sequel plugin for eager loading associations in JSON-API specification.
# DwCR DwCA in a SQLite database complete with [Sequel](https://github.com/jeremyevans/sequel) models. ## Command Line Tool ### Create a new DwCR file From within the directory of a DwC Archive: ```ruby dwcr new -t dwcr-test.db ``` will create the file in the directory, named after the directory see `dwcr new --help` for options ### Load an existing DwCR file ```ruby dwcr load ~/documents/dwca/dwcr-test.db ```
fixture_dependencies is an advanced fixture loader for ActiveRecord and Sequel, allowing the loading of models from YAML fixtures, along with their entire dependency graph. It has the following features: - Fixtures specify association names instead of foreign keys - Support both Sequel and ActiveRecord - Supports many_to_one/belongs_to, one_to_many/has_many, many_to_many/has_and_belongs_to_many, and has_one associations - Loads a fixture's dependency graph in such a manner that foreign key constraints aren't violated - Has a very simple API (FixtureDependencies.load(:model__fixture)) - Handles almost all cyclic dependencies - Includes Rails and Sequel test helpers for Test::Unit (and a Sequel test helper for RSpec) that load fixtures for every test inside a transaction, so fixture data is never left in your database - Adds dynamic fixtures (similar to ActiveRecord) with ERb.
Offer tooling for common database operations, such as running Sequel migrations, store and load from the database schema, rollback, redo some migration, rerun all migrations, display applied and missing migrations. It allows integration with Rake, while being lazily evaluated to not slow down other Rake tasks. It's also configurable in order to support more actions and database vendors. Some tasks are currently implemented for PostgreSQL only for the time being out of the box. It should be possible to complement this gem with another one to support other database vendors, while taking advantage of the build blocks provided by this tool set.
llm.rb is Ruby's most capable AI runtime. It runs on Ruby's standard library by default. loads optional pieces only when needed, and offers a single runtime for providers, agents, tools, skills, MCP, A2A (Agent2Agent), RAG (vector stores & embeddings), streaming, files, and persisted state. As a bonus, llm.rb is also available for mruby. It supports OpenAI, OpenAI-compatible endpoints, Anthropic, Google Gemini, DeepSeek, xAI, Z.ai, AWS Bedrock, Ollama, and llama.cpp. It also includes built-in ActiveRecord and Sequel support, plus concurrent tool execution through threads, tasks (via async gem), fibers, ractors, and fork (via xchan.rb gem).
ADBC is Apache Arrow Database Connectivity. It provides a API that can connect to different databases by wrapping database specific APIs. This is not a new approach. There are existing APIs such as Active Record, Sequel and ODBC. The difference between the existing APIs and ADBC is the focus on large data and performance. ADBC is an important part to use Ruby for data processing. We can extract large data from many databases (not only RDBMSs but also data ware houses and so on) and load large data into many databases with ADBC. To use Ruby for data processing, we need data. ADBC helps it.