{"categories":[{"label":"Utilities","url":"https://skillfed.io/packages/category/utilities/7"}],"enrichment":{"capability":"Provides a curated collection of TTP (Template Text Parser) templates for parsing structured text output from network devices and other systems into validated Python data structures.","skillfed_tags":["network-parsing","template-library"],"use_cases":["Parse Cisco IOS 'show' command output into structured dictionaries for automation or inventory tools.","Convert network device configurations into YANG-compliant JSON for standards-based tooling.","Extract interface, routing, or VLAN data from device CLI output without writing custom parsers.","Validate and normalize parsed network state across multiple device types using pre-tested templates."],"what_it_does":"ttp_templates is a library of pre-built parsing templates for TTP, a text parsing engine designed to extract structured data from unstructured or semi-structured text. It ships with templates tailored for network device outputs (Cisco IOS, etc.) and can map parsed results to YANG data models like ietf-interfaces. You use it by calling parse_output() with device output and platform/command metadata, or by retrieving specific templates via get_template() and passing them to the TTP parser directly.\n\nThe package depends on ttp for the actual parsing engine and pydantic for data validation. It targets Python 3.10 and later and requires no system libraries or external tools. The templates are community-contributed and cover common network operational commands; if you have a parsing problem that fits an existing template, this package saves you from writing regex and TTP grammar from scratch.","worth_installing":"Yes. Low install friction, active maintenance, no known vulnerabilities, and a permissive MIT license. Install if you parse network device output or other semi-structured text and want to avoid writing TTP templates from scratch. Skip if you have no use for TTP or need templates for platforms not yet in the collection."},"id":"ttp-templates","links":{"html":"https://skillfed.io/packages/ttp-templates","md":"https://skillfed.io/packages/ttp-templates.md","pypi":"https://pypi.org/project/ttp-templates/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-12","license_spdx":null,"license_treatment":"permissive","name":"ttp_templates","python_support":"supports_current","summary":"Template Text Parser Templates collections"},"popularity":{"monthly_downloads":224359,"position":9233,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.5.9"}