eclypse-org/eclypse
An Edge-Cloud python platform for simulated (and emulated) runtime environments
This project helps operations engineers and researchers simulate how well their service-based applications will perform when deployed across different cloud and edge computing infrastructures. You input your application design and various infrastructure conditions, and it outputs insights into deployment strategies without needing to build a real test environment. It's ideal for those needing to experiment with performance in complex distributed systems.
Available on PyPI.
Use this if you need to understand and optimize the deployment of service-based applications across diverse cloud-edge environments through simulation.
Not ideal if you are looking for a tool to deploy and manage actual applications in live production environments.
Stars
35
Forks
4
Language
Python
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
Dependencies
3
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/eclypse-org/eclypse"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
emlearn/emlearn
Machine Learning inference engine for Microcontrollers and Embedded devices
analogdevicesinc/ai8x-training
Model Training for ADI's MAX78000 and MAX78002 Edge AI Devices
DT42/BerryNet
Deep learning gateway on Raspberry Pi and other edge devices
SummerGift/EmbeddedSystem
:books: 计算机体系架构、嵌入式系统基础与主流编程语言相关内容总结
microsoft/EdgeML
This repository provides code for machine learning algorithms for edge devices developed at...