--- id: bnunicodenormalizer version: "0.1.7" license: MIT license_treatment: permissive maintenance: dormant --- # bnunicodenormalizer — Bangla Unicode Normalization Toolkit License: permissive · Maintenance: dormant · Downloads: 90.1K/mo ## What it is and what it does bnunicodenormalizer is a Bangla-specific Unicode normalization library that repairs malformed or invalid Bangla text sequences. It identifies and corrects character-level issues—such as orphaned diacritics, invalid Unicode combinations, and legacy symbol mappings—and returns both the normalized output and a detailed log of operations performed. The package is designed for Bangla text preprocessing in NLP pipelines, data cleaning, and linguistic analysis. It offers configurable handling of legacy Bangla symbols (with custom remapping), optional preservation of English alphanumerics and punctuation, and operation-level transparency so you can audit what changed and why. No external dependencies are required. Use it for: - Clean user-generated Bangla text before indexing into search engines or databases. - Preprocess Bangla corpora for NLP model training by removing invalid Unicode sequences. - Normalize Bangla text from OCR or legacy encoding sources that may contain malformed characters. - Audit text quality by inspecting the operations log to understand what normalization was applied. - Handle mixed Bangla–English documents by selectively normalizing only the Bangla portions. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Normalizes Bangla Unicode text by fixing invalid character sequences, handling legacy symbols, and optionally preserving English text. Yes, if you work with Bangla text and need character-level normalization. The package is lightweight, dependency-free, and permissively licensed. Dormancy is a minor concern—no active development since mid-2024—but the absence of vulnerabilities and straightforward scope (Unicode repair, not a moving target) make it low-risk for stable use. Verify Python version compatibility and test against your specific Bangla text patterns before production deployment. ## Install pip install bnunicodenormalizer uv add bnunicodenormalizer poetry add bnunicodenormalizer ## Installing bnunicodenormalizer Before you install: Low install friction with no runtime dependencies. The package is dormant (last commit 2024-05-26, 810 days since release) but carries no known vulnerabilities and remains archived-free. License in practice: MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both open and proprietary projects. Quickstart: from bnunicodenormalizer import Normalizer bnorm = Normalizer() word = 'াটোবাকো' result = bnorm(word) print(result['normalized']) Verify before relying: - Whether the package handles all modern Bangla Unicode edge cases or only a documented subset. - Performance characteristics when normalizing large text corpora or streaming input. - Compatibility with Python versions beyond 3 (e.g., 3.8+, 3.10+, 3.12+). ## Package facts - License: MIT (permissive) - Python support: unspecified - Install friction: low - Maintenance: dormant - Downloads: 90.1K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags bangla unicode normalization, bengali text cleaning, indic script normalization, bangla character validation, unicode text repair, bangla diacritic handling, indic language text processing, bangla-nlp, unicode-repair, indic-languages [View on SkillFed](https://skillfed.io/packages/bnunicodenormalizer) · [View on PyPI](https://pypi.org/project/bnunicodenormalizer/)