skillfed

probableparsing

Common methods for propbable parsers

probableparsing v0.0.1 5.3M downloads/30d#2,122 on PyPI6
Permissive license The MIT License: http://www.opensource.org/licenses/mit-license.php Abandoned released

What it is and what it does

probableparsing is a utility library providing common methods for building probable parsers—a 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.

The 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.

Use it for:

  • 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

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides common utility methods for building probable parsers, a parsing approach used in information extraction and data cleaning tasks.

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.

Install

probableparsing on PyPI

pip

pip install probableparsing

uv

uv add probableparsing

poetry

poetry add probableparsing

Installing probableparsing

Before you install

Installation is frictionless with no runtime dependencies, but the package is abandoned—last updated in 2016 with no commits since 2023-04-28. Use only if maintaining legacy code that already depends on it.

License in practice

MIT license is permissive and places no restrictions on use, modification, or distribution.

Quickstart

pip install probableparsing==0.0.1
import probableparsing

Package targets Python 2.7 and has not been updated since 2016; compatibility with modern Python versions is uncertain.

Verify before relying

  • What specific parsing problems the 'probable parsing' approach is designed to solve
  • Whether this package remains compatible with modern Python versions
  • What 'probable parsers' means and how they differ from standard parsing approaches
  • Current usability and whether any breaking changes exist for Python 3

Package facts

License The MIT License: http://www.opensource.org/licenses/mit-license.php (permissive)
Python support not specified
Install friction low — pure-Python wheel
Runtime dependencies none
Maintenance abandoned — 3,791 days since the last release
Last repo commit
First released
Downloads 5,294,658/month — #2,122 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: probableparsing-0.0.1-py2.py3-none-any.whl

Development Status :: 3 - AlphaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIXProgramming Language :: Python :: 2.7Topic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Information AnalysisTopic :: Software Development :: Libraries :: Python Modules

Tags

probable parsing utilitiesparser helper methodsinformation extraction librarydata parsing toolkitparsing common functionsprobable parser frameworktext parsing utilities
abandonedlegacyinformation-extraction

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