Reverse Dependencies of azure-identity

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

• esd-services-api-client — Python clients for ESD services
• essentials-configuration-keyvault — Azure Key Vault source for essentials-configuration.
• essex-config — Python library for creating configuration objects that read from various sources, including files, environment variables, and Azure Key Vault.
• EventListeners — Event hub listener for Common Spec use case that triggers DBX jobs
• explore-cli — Interactively explore a codebase with an LLM
• ez-azml — Simplified yaml/jsonargparse driven framework for AzureML interactions
• fabric-ops — English: Fabric-ops is a library for automating tasks with Microsoft Fabric resources. Español: Fabric-ops es una biblioteca para automatizar tareas con los recursos de Microsoft Fabric.
• fabric-testing — Testing functionalities for Microsoft Fabric
• fabricclientaio — no summary
• fabricks — no summary
• fabryc — Python API for Microsoft Fabric (Semantic Models, Reports...)
• fastapi-cloud-healthcheck-azure-vm — This package is designed to validate the operational status of Azure Virtual Machines (VMs). It provides comprehensive diagnostics on the health of an Azure VM by checking its power state, disk health, and network interface status.
• fastlanelogger — no summary
• fcapacity-mngmt — no summary
• fdc-shared-kernel — Shared library for microservice
• Feast — Python SDK for Feast
• feast-azure-provider — A Feast Azure Provider
• feast-azure-provider-temp — A Feast Azure Provider
• feast-doris — Python SDK for Feast
• feastmo — Python SDK for Feast
• feathr — An Enterprise-Grade, High Performance Feature Store
• fitin — Simple config management, making it easy to write services that fit in.
• fixinventory-plugin-azure — Runs collector plugins and sends the result to fixcore.
• flexiai — FlexiAI: A dynamic and modular AI framework leveraging Multi-Agent Systems and Retrieval Augmented Generation (RAG) for seamless integration with OpenAI and Azure OpenAI services.
• floki-ai — Agentic Workflows Made Simple
• flowtask — Framework for running Tasks and from CLI and API for orchestation. Component-based Task builder/Runner for non-programmers.
• fluke-api — Cloud-agnostic Python API
• flying-delta-llms-azure-openai — llama-index llms azure openai integration
• fm-optimized-inference — no summary
• fnllm — A function-based LLM protocol and wrapper.
• fw-storage — Unified storage interface.
• gacels — Package containing reusable tools for different applications.
• gardenlinux — gardenlinux CICD utils
• gega-promptflow-vectordb — Prompt flow tools for accessing popular vector databases
• genai-agents — no summary
• genaikeys — A convenient secret retrieval proxy backed by cloud scale secret vaults
• gigachain-azure-dynamic-sessions — An integration package connecting Azure Container Apps dynamic sessions and GigaChain
• gimme-secrets — AWS Parameter Store management
• gitinsights — A toolset enabling engineering leads to gain insights around how a team is collaborating towards a projects workitems and codebase
• gordo-dataset — Gordo datasets and data providers
• gpt-review — Python Project for reviewing GitHub PRs with Open AI and Chat-GPT.
• gpuhunt — A catalog of GPU pricing for different cloud providers
• graphrag — GraphRAG: A graph-based retrieval-augmented generation (RAG) system.
• graphrag_fix — no summary
• graphrag-more — 基于微软GraphRAG，支持使用百度千帆、阿里通义、Ollama等模型
• graphrag-with-trace — graphrag-with-trace
• grater-expectations — A grated application of Great Expectations to create greater Expectations
• great-expectations — Always know what to expect from your data.
• great-expectations-cta — Always know what to expect from your data.
• gretel-client — Balance, anonymize, and share your data. With privacy guarantees.
• guidance — A guidance language for controlling large language models.
• hcs-ext-azure — Horizon Cloud Service CLI module.
• helical — Helical Python SDK
• hiddenlayer-sdk — Official HiddenLayer Python SDK
• hmt-azure-funcs — code to interact with azure
• ice-commercial-power — ICE Commercial Power
• icloudservice — The `icloudservice` class provides a Python interface for interacting with
• idem-azurerm — Idem language provider for Azure
• idg-metadata-client — Ingestion Framework for OpenMetadata
• img-proof — Package for automated testing of cloud images.
• incx — no summary
• inspari_config — Inspari configuration utilities
• inspari_logging — Inspari logging utilities
• intelligence-toolkit — Interactive workflows for generating AI intelligence reports from real-world data sources using GPT models
• ipp-ds — Biblioteca da área de Ciencia de Dados da Ipiranga Produtos de Petroleo
• irisml — Simple ML pipeline platform
• irisml-tasks — Standard tasks for IrisML
• irisml-tasks-azureml — Utility tools to use IrisML on AzureML
• irisml-tasks-llava — Irisml adapter tasks for LLAVA models
• isar — Integration and Supervisory control of Autonomous Robots
• jobsworthy — no summary
• jpl-rosa — ROSA: the Robot Operating System Agent
• kada-gx-plugin — kada-gx-plugin generates validation results in a format for loading into the K Platform.
• kapitan — Generic templated configuration management for Kubernetes, Terraform and other things
• kcli — Provisioner/Manager for Libvirt/Vsphere/Aws/Gcp/Hcloud/Kubevirt/Ovirt/Openstack/IBM Cloud and containers
• keephq — Alerting. for developers, by developers.
• key-vault-interface — A simple package to work as an interface with a key; at the moment only supporting Azure.
• keyrings.artifacts — Keyring backend, that automatically retrieves credentials for Azure Artifacts.
• keyvault — A small package for handling project secrets
• kobai-sdk — A package that enables interaction with a Kobai tenant.
• kombu — Messaging library for Python.
• kombuzstest — Messaging library for Python.
• kozai-mlflow — MLflow for integrated kozai environments
• kqlalchemy — A SQLAlchemy dialect for Azure Data Explorer (Kusto)
• Kqlmagic — Kqlmagic: Microsoft Azure Monitor magic extension to Jupyter notebook
• KqlmagicCustom — Kqlmagic: Microsoft Azure Monitor magic extension to Jupyter notebook (Custom Dependencies)
• kserve — KServe Python SDK
• kserve-mathking — KServe Python SDK
• kukur — Kukur makes time series data and metadata available to the Apache Arrow ecosystem.
• kv-to-kube — Sync Azure Key Vault Secrets to Kubernetes Secrets
• kvcdl — Download certificate secrets from Azure Key Vault
• kvcopy — Copy Secrets between KeyVaults with ease
• kvdl — Download secrets from Keyvault
• lakeapi2sql — no summary
• lakehouse-engine — A configuration-driven Spark framework serving as the engine for several lakehouse algorithms and data flows.
• laktory — A DataOps framework for building a lakehouse
• lamini-configuration — A library to load configuration parameters from multiple sources and formats
• langchain_1111_Dev_cerebrum — Building applications with LLMs through composability
• langchain-azure-ai — An integration package to support Azure AI Foundry capabilities for model inference in LangChain.
• langchain-azure-dynamic-sessions — An integration package connecting Azure Container Apps dynamic sessions and LangChain