Reverse Dependencies of azure-cli

The following projects have a declared dependency on azure-cli:

• az.cli — An interface to execute Azure CLI commands using Python
• azkm — azure knowledge mining cli
• azure-iot-hub-api — Azure iot hub api with azure cli backend
• azure-knowledgemining-cli — no summary
• azure-ml-component — Azure Machine Learning Component SDK
• azure-mon — A tool for seeing age of resources under a subscription in Azure
• azureml-rag — Contains Retrieval Augmented Generation related utilities for Azure Machine Learning and OSS interoperability.
• azuremlcli — Microsoft Azure Machine Learning Command Line Tools
• BEAT-Guang — This is an example project
• Beat-ML1 — This package contains several methods for calculating Conditional Average Treatment Effects
• BEAT-TEST — This package contains several methods for calculating Conditional Average Treatment Effects
• BEATAALU — This package contains several methods for calculating Conditional Average Treatment Effects
• BEATluzgool — This is an example project
• cloudmesh-azure — A command called azure and foo for the cloudmesh shell
• cloudsteak — CloudSteak - Cloud Tools by the1bit
• dapla-team-cli — CLI for working with Dapla Teams
• dbt-fabricspark — The Apache Spark adapter plugin for dbt
• econml — This package contains several methods for calculating Conditional Average Treatment Effects
• feathr — An Enterprise-Grade, High Performance Feature Store
• FIRSTBEATLU — This package contains several methods for calculating Conditional Average Treatment Effects
• foundry-econml — This package contains several methods for calculating Conditional Average Treatment Effects
• goatshell — goatshell - goat shell interface to common cloud providers.
• GuangBEAT — BEAT
• GuangTestBeat — This package contains several methods for calculating Conditional Average Treatment Effects
• hi-ml-azure — Microsoft Health Futures package to elevate and monitor scripts to an AzureML workspace
• kusto_tool — A high-level API for querying Kusto.
• LUBEAT — This package contains several methods for calculating Conditional Average Treatment Effects
• LZBEAT — This package contains several methods for calculating Conditional Average Treatment Effects
• michaelvll-skypilot — An intercloud broker above the cloud
• Microsoft-AI-Azure-Utility-Samples — Utility Samples for AI Solutions
• nbdev-squ — Python SIEM Query Utils nbdev edition
• nextai-prism — Prism: An intercloud broker for the clouds
• nskit — Namespace Development Kit, providing a set of useful utilities for building software (in python namespaces)
• opilot — OpenPilot: An intercloud broker for the clouds
• projetaai-azure — Enables Azure services integration with ProjetaAi/Kedro
• runbooks — CloudOps Automation Toolkit for DevOps and SRE teams.
• scitq — A (distributed) scientific task queue
• skypilot — SkyPilot: An intercloud broker for the clouds
• skypilot-nightly — SkyPilot: An intercloud broker for the clouds
• terrabuddy — A python wrapper for multipass
• tft-artemis — Artemis is a machine provisioning service. Its goal is to provision a machine - using a set of preconfigured providers as backends - which would satisfy the given hardware and software requirements.
• threemystic-cloud-client — A tool to help facilitate the communication with various cloud providers
• trainy-skypilot-nightly — SkyPilot: An intercloud broker for the clouds
• weblodge — A simple command line aiming to provide anyone with deployment and cloud management capabilities.
• whizbang-deployer — Whizbang Deployer - An all-in-one Azure deployment solution