{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/4"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis"}],"enrichment":{"capability":"Provides common utility methods for building probable parsers, a parsing approach used in information extraction and data cleaning tasks.","skillfed_tags":["abandoned","legacy","information-extraction"],"use_cases":["Maintaining or extending legacy information extraction systems that already depend on this library","Learning about probable parsing techniques in academic or research contexts","Building custom parsers for semi-structured data in established codebases"],"what_it_does":"probableparsing is a utility library providing common methods for building probable parsers\u2014a parsing technique used in information extraction and data cleaning workflows. The package has no runtime dependencies, making it lightweight to install, but it has been abandoned since its initial 2016 release with no active maintenance or updates.\n\nThe library is classified as Alpha-stage software and was designed for developers and researchers working on scientific information analysis tasks. Given its age and lack of maintenance, it is best suited for legacy systems already using it rather than as a foundation for new projects. The permissive MIT license allows free use and modification.","worth_installing":"No, unless you are maintaining existing code that already uses it. The package is abandoned (last commit 2023-04-28, no updates since 2016), has minimal community adoption (6 repository stars), and offers no documentation or active support. For new projects, seek actively maintained parsing or information extraction libraries instead."},"id":"probableparsing","links":{"html":"https://skillfed.io/packages/probableparsing","md":"https://skillfed.io/packages/probableparsing.md","pypi":"https://pypi.org/project/probableparsing/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2016-03-28","license_spdx":null,"license_treatment":"permissive","name":"probableparsing","python_support":"unspecified","summary":"Common methods for propbable parsers"},"popularity":{"monthly_downloads":5294658,"position":2122,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.0.1"}