A really fast memory store for better-queue
Memory adapter for Better Auth
Better Queue for NodeJS
Promise queue with concurrency control
Better Stack JavaScript logging tools (formerly Logtail)
JavaScript Performance Monitor
Tiny queue data structure
Fast, in memory work queue
In memory queue system prioritizing tasks
Local development World implementation for Workflow SDK
fast, tiny `queueMicrotask` shim for modern engines
Job manager
Memory adapter for catbox
TypeScript definitions for better-queue
Miscellaneous indices for graphology.
A shim for the setImmediate efficient script yielding API
A set of efficient utilities that extend the use of JSON (streaming, estimate size, NDJSON/JSONL, etc.)
High-priority task queue for Node.js and browsers
Compatible version of p-queue
Useful TypeScript utilities.
A simple tool to keep requests to be executed in order.
A JS library for finding optimal label position inside a polygon
The smallest and simplest JavaScript priority queue
queue-lit is a tiny queue data structure in case you `Array#push()` or `Array#shift()` on large arrays very often
RedisRpc is the easiest to use RPC library in the world. (No small claim!). This version is a repackage that only has Ruby implementation. Redis is a powerful in-memory data structure server that is useful for building fast distributed systems. Redis implements message queue functionality with its use of list data structures and the `LPOP`, `BLPOP`, and `RPUSH` commands. RedisRpc implements a lightweight RPC mechanism using Redis message queues to temporarily hold RPC request and response messages. These messages are encoded as JSON strings for portability. Many other RPC mechanisms are either programming language specific (e.g. Java RMI) or require boiler-plate code for explicit typing (e.g. Thrift). RedisRpc was designed to be extremely easy to use by eliminating boiler-plate code while also being programming language neutral. High performance was not an initial goal of RedisRpc and other RPC libraries are likely to have better performance. Instead, RedisRpc has better programmer performance; it lets you get something working immediately.
RedisRPC is the easiest to use RPC library in the world. (No small claim!) It has implementations in Ruby, PHP, and Python. Redis is a powerful in-memory data structure server that is useful for building fast distributed systems. Redis implements message queue functionality with its use of list data structures and the `LPOP`, `BLPOP`, and `RPUSH` commands. RedisRPC implements a lightweight RPC mechanism using Redis message queues to temporarily hold RPC request and response messages. These messages are encoded as JSON strings for portability. Many other RPC mechanisms are either programming language specific (e.g. Java RMI) or require boiler-plate code for explicit typing (e.g. Thrift). RedisRPC was designed to be extremely easy to use by eliminating boiler-plate code while also being programming language neutral. High performance was not an initial goal of RedisRPC and other RPC libraries are likely to have better performance. Instead, RedisRPC has better programmer performance; it lets you get something working immediately.
RedisRpc is the easiest to use RPC library in the world. (No small claim!). This version is a repackage that only has Ruby implementation. Redis is a powerful in-memory data structure server that is useful for building fast distributed systems. Redis implements message queue functionality with its use of list data structures and the `LPOP`, `BLPOP`, and `RPUSH` commands. RedisRpc implements a lightweight RPC mechanism using Redis message queues to temporarily hold RPC request and response messages. These messages are encoded as JSON strings for portability. Many other RPC mechanisms are either programming language specific (e.g. Java RMI) or require boiler-plate code for explicit typing (e.g. Thrift). RedisRpc was designed to be extremely easy to use by eliminating boiler-plate code while also being programming language neutral. High performance was not an initial goal of RedisRpc and other RPC libraries are likely to have better performance. Instead, RedisRpc has better programmer performance; it lets you get something working immediately.