RPyC VS schedule

Compare RPyC vs schedule and see what are their differences.

RPyC

RPyC (Remote Python Call) - A transparent and symmetric RPC library for python (by tomerfiliba-org)
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RPyC schedule
1 13
1,511 11,479
1.5% -
6.8 4.9
2 months ago about 1 month ago
Python Python
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

RPyC

Posts with mentions or reviews of RPyC. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-23.

schedule

Posts with mentions or reviews of schedule. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-11.

What are some alternatives?

When comparing RPyC and schedule you can also consider the following projects:

gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

APScheduler - Task scheduling library for Python

zeroRPC - zerorpc for python

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

Nameko - Python framework for building microservices

TaskFlow - A library to complete workflows/tasks in HA manner. Mirror of code maintained at opendev.org.

ReflectRPC - Self-describing JSON-RPC services made easy

Joblib - Computing with Python functions.

wampy - Websocket RPC and Pub/Sub for Python applications and microservices

doit - task management & automation tool

SimpleJSONRPCServer - A Python JSON-RPC over HTTP that mirrors xmlrpclib syntax.

gunnery - Remote task execution tool