Netmiko vs ONAP

Netmiko is a free Python library for connecting to network devices and automating command-line tasks. It simplifies SSH connections and also documents supported Telnet device types. The library can collect output from show commands and make configuration changes while handling low-level device state. Its device list spans vendors and separates platforms by regular, limited, and experimental testing status. Regularly tested examples include Arista vEOS, Cisco IOS variants and NX-OS, Juniper Junos, and Linux. Documentation shows how to install with pip, connect to devices, run commands such as “show ip int brief,” and send configuration command sets that enter configuration mode. The project also links to API documentation, a secure copy tutorial, and guidance on using TextFSM. Optional extras support the bulk-encryption CLI and compatibility with Paramiko 4. Netmiko Tools can encrypt sensitive YAML values using Fernet or AES128; the guidance recommends protecting the key and keeping it out of version control. The project uses the MIT license, with bug reports and feature requests directed to GitHub issues.

ONAP is a free, open-source platform for designing, orchestrating, observing, and automating network and edge services. It supports lifecycle management for physical, virtual, and cloud-native network functions, with real-time, policy-driven orchestration. Design and runtime capabilities include implementation, analytics, monitoring, alarm and event correlation, and closed-loop automation for service optimization. Role-based access through the Portal Framework serves service designers and operations personnel. ONAP is modular, so users can select orchestration functions; its Operations Manager uses Kubernetes to deploy, monitor, and manage component lifecycles. Published blueprints cover 5G, virtual CPE, broadband, VoLTE, and cross-domain VPN services. A full deployment guide lists 224 GB RAM, 160 GB disk, and 112 vCores, while selected components can substantially reduce those requirements. ONAP supports deployment on Kubernetes on bare metal or environments such as OpenStack, Azure, and AWS. It runs across API, Linux, self-hosted, and web contexts. Free introductory training and a paid ONAP Fundamentals course are available.