{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/4"}],"enrichment":{"capability":"Extends Apache Airflow with an EdgeExecutor and edge worker framework for orchestrating tasks across remote sites via HTTPS, enabling work distribution through firewalls and network restrictions.","skillfed_tags":["edge-computing","distributed-orchestration","airflow-provider"],"use_cases":["Deploy task execution to remote manufacturing plants or field sites where only outbound HTTPS is permitted.","Orchestrate data collection or processing at geographically distributed locations from a central Airflow instance.","Run Airflow tasks in network-restricted environments (behind corporate firewalls) without exposing inbound ports.","Manage hybrid workloads where some tasks execute locally and others run on edge workers across multiple sites.","Reduce operational overhead at remote sites by using a lightweight edge worker instead of a full Airflow installation."],"what_it_does":"This is an Apache Airflow provider package that adds edge computing capabilities to Airflow, allowing you to orchestrate tasks on remote worker nodes deployed at distant sites. The package provides an EdgeExecutor (a custom Airflow executor) and a lightweight edge worker process designed to run in environments with strict network restrictions\u2014such as behind firewalls or in isolated data centers\u2014where the only requirement is outbound HTTPS connectivity back to your central Airflow instance.\n\nThe edge worker model solves a specific deployment problem: when you need to execute Airflow tasks on remote sites but cannot run a full Airflow installation or maintain direct inbound connections, you deploy the edge worker instead. The central Airflow site uses the EdgeExecutor to schedule and manage work on these remote workers via REST API endpoints. The EdgeExecutor can coexist with other executors in the same Airflow installation, making it suitable for hybrid deployments where some tasks run locally and others run on edge sites.","worth_installing":"Yes, if you run Apache Airflow and need to orchestrate tasks on remote sites with network restrictions. The package is actively maintained, has no known vulnerabilities, and is backed by the Apache Airflow project. Install only if you have a concrete edge deployment scenario; it adds no value for single-site Airflow setups."},"id":"apache-airflow-providers-edge3","links":{"html":"https://skillfed.io/packages/apache-airflow-providers-edge3","md":"https://skillfed.io/packages/apache-airflow-providers-edge3.md","pypi":"https://pypi.org/project/apache-airflow-providers-edge3/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-08","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"apache-airflow-providers-edge3","python_support":"supports_current","summary":"Provider package apache-airflow-providers-edge3 for Apache Airflow"},"popularity":{"monthly_downloads":284885,"position":8058,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"4.3.0"}