bnunicodenormalizer
Bangla Unicode Normalization Toolkit
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
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 · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both open and proprietary projects.
last release 2024-05-26 (810 days) · last repo commit 2024-05-26 · 24 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 90,136 downloads/mo, #13,616 on PyPI
Alternatives
Verify before relying
from bnunicodenormalizer import Normalizer
bnorm = Normalizer()
word = 'াটোবাকো'
result = bnorm(word)
print(result['normalized'])- 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+).
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 on this page. Verify before relying on it.
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
bnunicodenormalizer on PyPI
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 | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Dormant 810 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 90,136 / month, #13,616 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: EducationLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: bnunicodenormalizer-0.1.7-py3-none-any.whl
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