{"id":9193,"library":"probablepeople","title":"Probable People","description":"Probable People (version 0.5.6) is a Python library for parsing romanized names and company names using advanced Natural Language Processing (NLP) methods. Developed by DataMade, it focuses on segmenting and labeling components of person and company strings into standardized fields. Releases are infrequent but it is actively maintained.","status":"active","version":"0.5.6","language":"en","source_language":"en","source_url":"https://github.com/datamade/probablepeople","tags":["NLP","name parsing","company parsing","data cleaning","entity resolution","CRF"],"install":[{"cmd":"pip install probablepeople","lang":"bash","label":"Install stable version"}],"dependencies":[{"reason":"Required for numerical operations and data structures.","package":"numpy"},{"reason":"Required for scientific computing and algorithms.","package":"scipy"},{"reason":"Machine learning algorithms for parsing models (requires >=0.23).","package":"scikit-learn"},{"reason":"Conditional Random Fields for sequence labeling (requires >=0.9.7).","package":"python-crfsuite"},{"reason":"Used for efficient spatial indexing in clustering (requires >=0.9.1).","package":"dedupe-variable-rtree"},{"reason":"Compatibility layer for Python 2/3, though library now targets Python 3.9+.","package":"future"}],"imports":[{"symbol":"parse_person","correct":"from probablepeople import parse_person"},{"symbol":"parse_company","correct":"from probablepeople import parse_company"}],"quickstart":{"code":"from probablepeople import parse_person, parse_company\n\n# Example for parsing a person's name\nname = \"Mr. John A. Doe Jr.\"\nparsed_name, name_type = parse_person(name)\nprint(f\"Parsed Name: {parsed_name}\\nName Type: {name_type}\")\n\n# Example for parsing a company name\ncompany = \"Google Inc.\"\nparsed_company, company_type = parse_company(company)\nprint(f\"Parsed Company: {parsed_company}\\nCompany Type: {company_type}\")","lang":"python","description":"Demonstrates how to use `parse_person` and `parse_company` to segment and label components of given strings, returning a dictionary of parsed parts and a type classification (e.g., 'person', 'company')."},"warnings":[{"fix":"Always review parsed results, especially for critical applications. Consider combining with manual review or fuzzy matching techniques for validation.","message":"Parsing models may not be 100% accurate, especially with highly ambiguous, culturally specific, or non-romanized names/company structures.","severity":"gotcha","affected_versions":"All versions"},{"fix":"For high-throughput requirements, explore batch processing, parallelization, or consider using optimized commercial APIs if performance is a bottleneck.","message":"Processing large datasets string-by-string can be computationally intensive and slow, as each parsing operation involves loading and running NLP models.","severity":"gotcha","affected_versions":"All versions"},{"fix":"Use virtual environments (e.g., `venv`, `conda`) to isolate `probablepeople` and its dependencies from other projects. Pin specific versions if conflicts arise.","message":"Heavy dependencies like `scikit-learn` and `python-crfsuite` can lead to a larger installation footprint and potential version conflicts with other libraries in the same environment.","severity":"gotcha","affected_versions":"All versions"}],"env_vars":null,"last_verified":"2026-04-16T00:00:00.000Z","next_check":"2026-07-15T00:00:00.000Z","problems":[{"fix":"Run `pip install probablepeople` to install the library.","cause":"The `probablepeople` library is not installed in the current Python environment.","error":"ModuleNotFoundError: No module named 'probablepeople'"},{"fix":"Ensure that the input argument to parsing functions is always a string. Handle non-string inputs by converting them (e.g., `str(value)`) or skipping them.","cause":"The parsing functions `parse_person` or `parse_company` were called with an input that is not a string (e.g., None, int, list).","error":"TypeError: expected string or bytes-like object"}]}