Distributed Computing packages

Showing projects tagged as Distributed Computing

  • celery

    9.7 9.0 L3 Python
    An asynchronous task queue/job queue based on distributed message passing.
  • zipline

    9.6 8.5 L3 Python
    A Pythonic algorithmic trading library.
  • PaddlePaddle

    9.6 9.9 L1 C++
    PArallel Distributed Deep LEarning
  • Ray

    9.5 9.9 Python
    A high-performance distributed execution engine
  • rq

    9.1 7.5 L3 Python
    Simple job queues for Python.
  • Faust

    8.4 9.0 Python
    Python Stream Processing
  • mrjob

    7.7 9.1 L2 Python
    Run MapReduce jobs on Hadoop or Amazon Web Services.
  • AutobahnPython

    7.5 8.0 L2 Python
    WebSocket & WAMP for Python on Twisted and asyncio.
  • kombu

    7.4 7.6 Python
    Messaging library for Python.
  • Crossbar

    6.6 7.9 L2 Python
    Open-source Unified Application Router (Websocket & WAMP for Python on Autobahn).
  • pulsar

    6.5 0.0 L3 Python
    Event-driven concurrent framework for Python.
  • dramatiq

    6.4 8.0 Python
    Simple distributed task processing for Python 3.
  • Pinball

    5.1 3.8 Python
    Pinball is a scalable workflow manager
  • RPyC

    5.1 6.6 Python
    A transparent and symmetric RPC library for Python
  • SCOOP (Scalable COncurrent Operations in Python)

    3.8 1.5 Python
    SCOOP (Scalable COncurrent Operations in Python)
  • KQ

    3.5 0.5 L4 Python
    Kafka-based Job Queue for Python
  • Streamz

    3.5 8.1 Python
    Builds pipelines to manage continuous streams of data
  • hot-redis

    2.9 0.0 L4 Python
    Rich Python data types for Redis.
  • Thespian Actor Library

    2.5 6.3 Python
    Python Actor concurrency library
  • rele

    2.1 8.0 Python
    Easy to use Google PubSub
  • qbatch

    1.1 6.3 L5 Python
    python program for serial farming jobs on compute clusters
  • drover

    0.6 5.6 Python
    drover is a command-line utility to deploy Python packages to Lambda functions
  • dask-memusage

    0.5 3.6 Python
    A low-impact profiler to figure out how much memory each task in Dask is using