{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"}],"enrichment":{"capability":"Parses a-deck forecast data from the Automated Tropical Cyclone Forecasting System and provides both a Python API and command-line interface for working with this data.","skillfed_tags":["meteorology","data-parsing","cli-tool"],"use_cases":["Extract and analyze tropical cyclone forecast tracks from a-deck data files for research or operational use","Build automated pipelines to fetch and parse the latest forecast data from the Automated Tropical Cyclone Forecasting System","Convert raw a-deck forecast records into pandas DataFrames for statistical analysis or visualization","Command-line processing of a-deck files as part of weather data workflows or batch jobs"],"what_it_does":"atcf-data-parser is a specialized tool for working with a-deck forecast data from the Automated Tropical Cyclone Forecasting System. It provides both a Python library and command-line utility to parse, load, and manipulate tropical cyclone forecast data in a structured way. The package depends on standard data-science libraries (numpy, pandas) for data handling, requests for fetching remote data, and rich for terminal output formatting.\n\nThe package is aimed at meteorologists, researchers, and developers working with tropical cyclone forecasts. It's actively maintained, supports modern Python versions (3.11 through 3.14), and carries an MIT license with no legal restrictions on use. With low install friction and no known security vulnerabilities, it's a straightforward addition to a data-analysis workflow.","worth_installing":"Yes, if you work with tropical cyclone forecast data. The package is production-stable, actively maintained, has low install friction, carries a permissive MIT license, and has no known vulnerabilities. It fills a specific niche\u2014parsing a-deck data\u2014with a clean API and CLI. Install it if you need to work with this data format; skip it otherwise."},"id":"atcf-data-parser","links":{"html":"https://skillfed.io/packages/atcf-data-parser","md":"https://skillfed.io/packages/atcf-data-parser.md","pypi":"https://pypi.org/project/atcf-data-parser/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-04-07","license_spdx":"MIT","license_treatment":"permissive","name":"atcf-data-parser","python_support":"supports_current","summary":"Parse a-deck data posted online by the Automated Tropical Cyclone Forecasting System"},"popularity":{"monthly_downloads":116075,"position":12219,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.3"}