Create a stream of Sequelize create, update, and destroy events.
Library for streaming sequelize requests
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
Node.js Streams, a user-land copy of the stream library from Node.js
Check if something is a Node.js stream
Get a stream as a string, Buffer, ArrayBuffer or array
tar-stream is a streaming tar parser and generator and nothing else. It operates purely using streams which means you can easily extract/parse tarballs without ever hitting the file system.
Toggle the CLI cursor
destroy a stream if possible
Call a callback when a readable/writable/duplex stream has completed or failed.
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
Get and validate the raw body of a readable stream.
GraphQL & Relay for MySQL & Postgres via Sequelize
A streaming way to send data to a Node.js Worker Thread
A stream that emits multiple other streams one after another.
Streaming data for JavaScript
A tiny, zero-dependency yet spec-compliant asynchronous iterator polyfill/ponyfill for ReadableStreams.
Merge multiple streams into a unified stream
sequel_pg overwrites the inner loop of the Sequel postgres adapter row fetching code with a C version. The C version is significantly faster than the pure ruby version that Sequel uses by default. sequel_pg also offers optimized versions of some dataset methods, as well as adds support for using PostgreSQL streaming.
sequel_pg overwrites the inner loop of the Sequel postgres adapter row fetching code with a C version. The C version is significantly faster than the pure ruby version that Sequel uses by default. sequel_pg also offers optimized versions of some dataset methods, as well as adds support for using PostgreSQL streaming.
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).