Importing sequelize modules with ease
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
GraphQL & Relay for MySQL & Postgres via Sequelize
Automatically generate bare sequelize models from your database.
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
pgvector support for Node.js, Deno, and Bun (and TypeScript)
A simple mock interface specifically for testing code relying on Sequelize models
Batching and simplification of Sequelize with facebook/dataloader
open telemetry instrumentation for the `sequelize` module
Session store for connect-session using sequelize
A Sequelize plugin which adds no update and readonly attributes support to models.
OpenTelemetry instrumentation for `sequelize` ORM
Sequelize adapter for Casbin
Nest - modern, fast, powerful node.js web framework (@sequelize)
Convert Sequelize models into various JSON Schema variants (using the Strategy Pattern)
Kysely dialect for Sequelize
Plugin that configures Sequelize to throw when accessing attributes omitted from a select.
A service adapter for Sequelize an SQL ORM
Official Express/Sequelize Liana for Forest
Simple ASCII table importer for Sequel
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.