greenlet

Greenlet

Greenlet is a lightweight concurrency library for Python that allows users to switch between several green threads (coroutines) in a similar way to yield statements. It enables non-blocking cooperative multitasking in Python programs.
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concurrency coroutines multitasking

Greenlet: Lightweight Concurrency Library

A Python concurrency library enabling non-blocking cooperative multitasking, allowing users to switch between green threads (coroutines) like yield statements.

What is Greenlet?

Greenlet is a lightweight concurrency library for Python that enables programmers to switch between several coroutines (green threads) in a similar way to yield statements. Unlike operating system threads, green threads are managed in userspace instead of kernel space, enabling non-blocking cooperative multitasking in Python programs.

Some key capabilities and benefits of Greenlet include:

  • Lightweight coroutines - Greenlets are very memory efficient and lightweight compared to OS threads.
  • Cooperative multitasking - Greenlets allow execution to be switched between coroutines cooperatively, avoiding complexity of preemptive multitasking.
  • Synchronous programming style - Code written with Greenlet looks synchronous and sequential while allowing concurrency.
  • Stack preservation - When switching execution between greenlets, their stack frames and states are preserved.
  • No need for queue handling - Messages can be passed directly between greenlets instead of using queues.

Greenlet is useful for programmers writing networked servers, protocols, GUI applications, simulation systems, game engines, and other programs that require non-blocking concurrent operations. It works well with other Python libraries like gevent for asynchronous I/O. Some common applications of Greenlet include high-performance networking, real-time analytics, financial trading systems, etc.

Greenlet Features

Features

  1. Lightweight concurrency library
  2. Allows switching between green threads (coroutines)
  3. Enables non-blocking cooperative multitasking
  4. Similar to using yield statements for cooperative multitasking

Pricing

  • Open Source

Pros

Lightweight and fast

Simple API

Integrates well with Python generators

Can prevent blocking I/O calls from blocking entire application

Cons

Not true parallelism like with threads or processes

Requires restructuring code to use coroutines

Debugging can be more difficult than with threads


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