{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks"}],"enrichment":{"capability":"Manages Azure Data Factory resources\u2014factories, pipelines, datasets, linked services, triggers, and integration runtimes\u2014via the Azure Management API.","skillfed_tags":["azure-sdk","cloud-management","etl-orchestration"],"use_cases":["Automate provisioning and configuration of Data Factory pipelines and linked services in CI/CD workflows.","Programmatically create and manage datasets and data flows for ETL/ELT processes at scale.","Monitor and update integration runtimes and trigger schedules without manual portal access.","Build custom orchestration tools that interact with Data Factory resources as part of larger data platform automation.","Retrieve metadata and system data from Data Factory resources for auditing and compliance reporting."],"what_it_does":"This is the official Python client library for managing Azure Data Factory resources through the Azure Resource Manager API. It provides programmatic access to create, read, update, and delete Data Factory components\u2014including factories, pipelines, datasets, linked services, triggers, integration runtimes, and related entities\u2014without using the Azure Portal or CLI.\n\nThe library handles authentication via Microsoft Entra and abstracts the REST API layer. Version 10.0.0 introduces system_data tracking across resource models and transitions to keyword-only parameters for conditional operations (etag/match_condition), marking a significant API evolution. It requires Python 3.10 or later and depends on isodate, azure-mgmt-core, and typing-extensions for core functionality.","worth_installing":"Yes. This is the official, actively maintained Azure SDK library for Data Factory management. Install friction is low, dependencies are minimal and stable, no known vulnerabilities exist, and the MIT license poses no restrictions. Use it when you need programmatic control over Data Factory resources; avoid it only if you have no Azure Data Factory workloads or prefer portal/CLI-only management."},"id":"azure-mgmt-datafactory","links":{"html":"https://skillfed.io/packages/azure-mgmt-datafactory","md":"https://skillfed.io/packages/azure-mgmt-datafactory.md","pypi":"https://pypi.org/project/azure-mgmt-datafactory/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-08","license_spdx":"MIT","license_treatment":"permissive","name":"azure-mgmt-datafactory","python_support":"supports_current","summary":"Microsoft Azure Datafactory Management Client Library for Python"},"popularity":{"monthly_downloads":13290909,"position":1289,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"10.0.0"}