Universal Command Line Interface for Amazon Web Services
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Updated
Oct 30, 2026 - Python
Universal Command Line Interface for Amazon Web Services
Software to automate the management and configuration of infrastructure and applications at scale.
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
An integrated shell for working with the AWS CLI.
🔧 pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.
A supercharged AWS command line interface (CLI).
Mist is an open source, multicloud management platform
🐍 Python SDK to query Scaleway APIs.
Course project of SJTU EE357: Computer Network, advised by Prof. Na Ruan. We implemented and improved "A Hierarchical Framework of Cloud Resource Allocation and Power Management using Deep Reinforcement Learning" and achieve a good trade-off between power usage and job latency.
Telegram bot to monitor uptime, power-control (start/stop/reboot), and track balances & costs of your Vultr, Hetzner & AWS cloud servers — 24/7, multi-account, EN/RU/UK/ES.
Multi cloud control of VM Instances across AWS, Azure, GCP and AliCloud - unified instance management
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome. With repository stars⭐ and forks🍴
[Unofficial] interactive Azure CLI 2.0 command line interface
Catalyst to Meraki migration tool and bot
A Python tool for parsing and exporting 'aws-nuke' output logs into structured JSON or CSV formats.
CLI for selecting and back-testing CloudWatch alarm configuration
The autoscaling simulation toolbox provides tools to experiment with policies for multilayered autoscaling (inc. VM clusters and applications). Multiverse simulator is the core of the toolbox. Using it, one can evaluate autoscaling policies under different conditions, including various applications, platforms, and workloads.
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