Cisco pyATS vs Netpicker

Cisco pyATS is a Python framework for network testing, automation, and validation, available free under the Apache 2.0 license. It supports sanity, feature, solution, system, and scale test and verification workflows, with reusable data-driven tests ranging from simple checks to complex asynchronous suites. Genie libraries provide device connectivity, parsers, APIs, platform-agnostic feature models, reusable test cases, and a YAML-driven test runner. Built-in device libraries cover Cisco IOS, IOS XE, IOS XR, NX-OS, and ASA; plugins and extensions can add other platforms. Connections can use CLI, NETCONF, or RESTCONF. XPRESSO manages test suites, environments, testbeds, resources, live test views, and archived results with comparisons and analytics. It supports on-demand, bundled, and scheduled runs through Jenkins and Docker backends. Cisco also documents Ansible community integrations and out-of-the-box RobotFramework support. pyATS runs on Linux and macOS and supports self-hosted deployment. Cisco says more than 75% of its codebase is open source on GitHub. Email support is best-effort and usually receives a reply within a day.

Netpicker validates network state, device configurations, compliance, security and behavior, and can automate remediation. It runs automated Python tests in pytest format against device configurations, show-command output and API data. The free version includes unlimited configuration backups, Git history, diffs, search and drift detection. Netpicker supports devices from more than 180 vendors and can be deployed as a Docker container or OVA virtual appliance, on-premises or in air-gapped environments. API-based connections link it to source-of-truth systems, Git, ITSM tools and other existing tools. Its REST API manages devices, backups and tests, runs show commands and tests, and restores backups; documentation is provided through Swagger/OpenAPI. Security validation covers CVEs, security configurations, compliance and pen-test findings without sending network data outside the customer's environment. Potential CVEs are matched by OS version, while verified CVEs also check whether vulnerable features are enabled and mitigations are present. AI can draft tests, remediation jobs and troubleshooting queries from plain English, subject to engineer review and approval. The free Foundation plan is available; Professional starts at $7,500 a year.