Better Queue for NodeJS
A really fast memory store for better-queue
TypeScript definitions for better-queue
A SQL store for better-queue
sqlite store for better-queue
Better Queue store test
Better Queue for NodeJS
Better Queue for NodeJS
sqlite store for better-queue
Better Queue library implementation in node-red
A SQL store for better-queue
A pluggable persistent store layer for better-queue
Better Stack JavaScript logging tools (formerly Logtail)
Tiny queue data structure
fast, tiny `queueMicrotask` shim for modern engines
Better Queue library implementation in node-red
A shim for the setImmediate efficient script yielding API
Promise queue with concurrency control
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
Next tick shim that prefers process.nextTick over queueMicrotask for compat
In memory queue system prioritizing tasks
The Chimera http client offers an easy to learn interface and consistent error handling. It is lightweight, fast and enables you to queue HTTP requests to run them in parallel for better performance and simple aggregating of distributed data. Despite it's simple interface it allows for advanced features like using custom deserializers, loggers, caching requests individiually, and instrumentation support (soon to be implemented).
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.
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