--- id: nornir version: "3.6.0" license: Apache-2.0 license_treatment: permissive maintenance: active --- # nornir — Pluggable multi-threaded framework with inventory management to help operate collections of devices License: permissive · Maintenance: active · Downloads: 94.5K/mo ## What it is and what it does Nornir is a Python automation framework designed for managing and operating collections of network devices. Unlike traditional automation tools that use domain-specific languages, Nornir lets you write all automation logic directly in Python, making it easier to debug and leverage existing Python tooling. The framework handles inventory management, multi-threaded task dispatch, and provides a plugin architecture so you can extend it with custom tasks and integrations. Since version 3.0.0, Nornir ships without built-in plugins; instead, you install plugins separately via pip as needed. It depends only on ruamel-yaml for configuration parsing and supports Python 3.10 through 3.14. The framework is actively maintained, with recent releases and an active community on GitHub and Discord. Use it for: - Automate configuration deployment across a fleet of network devices by writing Python scripts that iterate over your inventory. - Gather operational data (show commands, metrics) from multiple devices in parallel and process results in Python. - Build custom network validation or compliance checks by combining Nornir tasks with your own Python logic. - Integrate network automation into larger Python applications or CI/CD pipelines without learning a new DSL. - Troubleshoot automation failures using standard Python debugging tools (pdb, logging) instead of framework-specific diagnostics. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Nornir is a pure Python automation framework that manages device inventory and dispatches tasks across network nodes, letting you write automation logic directly in Python rather than a domain-specific language. Yes. Nornir is actively maintained, has low install friction, carries a permissive Apache-2.0 license, and is well-suited for teams comfortable with Python who want to avoid a domain-specific language. The framework is mature (since 2018) and has a growing plugin ecosystem. Install it if you need to automate network device operations and prefer writing Python over learning a DSL. ## Install pip install nornir uv add nornir poetry add nornir ## Installing nornir Before you install: Low install friction; pure Python wheel with a single runtime dependency on ruamel-yaml. Actively maintained with a recent release (12 days old) and steady commit activity. License in practice: Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you may use, modify, and distribute Nornir freely provided you include the license notice. Quickstart: pip install nornir from nornir import InitNornir nr = InitNornir(config_file="config.yaml") results = nr.run(task=your_task_function) Requires Python 3.10 or higher; you must provide a config file (typically YAML) to define your inventory and settings. Verify before relying: - Whether the plugin ecosystem is sufficiently mature and stable for your use case (documentation references a community plugin list but stability varies). - Performance characteristics under large-scale deployments (fact sheet does not quantify typical device counts or task throughput). - Integration requirements with existing network management or monitoring tools in your environment. ## Package facts - License: Apache-2.0 (permissive) - Python support: supports_current - Install friction: low - Maintenance: active - Downloads: 94.5K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags network device automation framework, python inventory management, multi-threaded task dispatcher, network operations automation, device configuration management, python network automation, pluggable automation framework, network-automation, inventory-management, multi-threaded [View on SkillFed](https://skillfed.io/packages/nornir) · [View on PyPI](https://pypi.org/project/nornir/)