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An easy to use rpc framework for enabling fast inter-process, inter-host communication

Project description

An easy to use rpc framework for enabling fast inter-process, inter-container, or inter-host communication

Easily share functions between hosts, processes, containers without the complexity of defining non-native python types or proxy modules.

Documentation Status PyPI version


Key Features

  • No predefined proxy functions at the remote endpoints
  • Easily group and share functons among hosts / processes using Namespaces / Namespace Groups
  • Proxy functions parameters are validated as if defined locally.
  • Optional: pre-flight encyrption
  • No strict RPC message structure / size limit, within json serializable constraints

Quick Start

$ virtualenv -p python3.7 easy-rpc-env

$ source easy-rpc-env/bin/activate

(easy-rpc-env)$ pip install easyrpc

Basic Usage:

from fastapi import FastAPI
from easyrpc.server import EasyRpcServer

server = FastAPI()

ws_server_a = EasyRpcServer(server, '/ws/server_a', server_secret='abcd1234')

def good_func_a(a, b, c):
    print(f"good_func_a {a} {b} {c}")
    return {"good_func_a": [a, b, c]}

import asyncio
from easyrpc.proxy import EasyRpcProxy

async def main():
    proxy = await EasyRpcProxy.create(

    good_func_a = proxy['good_func_a']
    result = await good_func_a(1, 5, 7)


See other usage examples in Recipes

Supported Functions Features

  • async def & def
  • async generators & generators
  • *args, **kwargs
  • positional & default parmeters
  • TODO - type annotations

Common Use Cases

  • State sharing among forked workers
  • Shared Database connections / cache
  • Shared Queues
  • Worker Pooling - Easy centralization for workers and distribution of work.
  • Function Chaining

Project details

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