boa-str
Convert strings to snakecase
Decision gist · record as of 2026-08-14
Yes, if you need simple snake_case conversion and can tolerate an unmaintained package. The core functionality is straightforward and unlikely to break, there are no known vulnerabilities, and it has no dependencies. However, do not use it if you require ongoing maintenance, support for recent Python versions, or security updates—consider a maintained alternative instead.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Installation is straightforward with no runtime dependencies.
- However, the package has been abandoned since its latest release on 2017-07-10, so maintenance and security patches are not expected.
License · maintenance · safety
MIT License (permissive) — Licensed under MIT License (permissive), so you can use, modify, and distribute it freely with minimal restrictions.
last release 2017-07-10 (3322 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,793,679 downloads/mo, #2,886 on PyPI
Alternatives
Verify before relying
pip install boa-str
import boa
result = boa.constrict('Hello Boa')
print(result) # 'hello_boa'- Whether the package works reliably with Python versions released after 2017 (classifiers list only up to 3.6)
- Whether there are known edge cases or limitations in string normalization not covered in the examples
- Current compatibility with modern Python interpreters and environments
What it is and what it does
Boa is a lightweight string normalization library that converts arbitrary text into snake_case format. It handles common transformations like lowercasing, converting camelCase and PascalCase to snake_case, and stripping punctuation—useful for generating safe identifiers for file paths, database schema names, or table names from user-provided strings.
The package has no runtime dependencies and installs easily, but it has been unmaintained since 2017-07-10. While the core functionality is simple and unlikely to break, you should expect no updates, security patches, or support for Python versions beyond what was available at release time.
Use it for
- Generate safe S3 file path names from user-defined event strings like 'User Buys Item' → 'user_buys_item'
- Convert camelCase column or table names to snake_case for database schemas in Redshift or similar systems
- Normalize user input strings into valid Python identifiers or configuration keys
- Transform event names or labels from UI text into standardized internal naming conventions
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need simple snake_case conversion and can tolerate an unmaintained package.
The core functionality is straightforward and unlikely to break, there are no known vulnerabilities, and it has no dependencies. However, do not use it if you require ongoing maintenance, support for recent Python versions, or security updates—consider a maintained alternative instead.
Install
boa-str on PyPI
Before you install
Installation is straightforward with no runtime dependencies. However, the package has been abandoned since its latest release on 2017-07-10, so maintenance and security patches are not expected.
License in practice
Licensed under MIT License (permissive), so you can use, modify, and distribute it freely with minimal restrictions.
Quickstart
pip install boa-str
import boa
result = boa.constrict('Hello Boa')
print(result) # 'hello_boa'Verify before relying
- Whether the package works reliably with Python versions released after 2017 (classifiers list only up to 3.6)
- Whether there are known edge cases or limitations in string normalization not covered in the examples
- Current compatibility with modern Python interpreters and environments
Package facts
| License | MIT License permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 3,322 days since the last release |
| First released | |
| Downloads | 2,793,679 / month, #2,886 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.3Programming Language :: Python :: 3.4Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6 |
Evidence: boa_str-1.1.0-py2.py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “camelcase to snakecase”
- boa-strConverts strings to snake_case by normalizing case, stripping…
- stringcaseConverts strings between different naming conventions (camelCase,…
- pyhumpsConverts strings and dictionary keys between snake_case, camelCase,…
Give your agent the search over MCP, or paste the wish link into any chat.
More Text Processing packages
A drop-in replacement for Python's standard `re` module that adds advanced regex features like nested sets, fuzzy matching, lookaround in conditionals, and full Unicode case-folding while maintaining backward compatibility.
pyparsing provides a library for building text parsers directly in Python code using composable grammar classes, handling quoted strings, whitespace variation, and embedded comments without regex or lex/yacc.
Install it if you need to parse text or define grammars programmatically.
fonttools manipulates font files in multiple formats (TrueType, OpenType, AFM, Type 1, Mac-specific) and includes TTX, a tool to convert fonts to and from XML text format.
Install it if you need to read, write, or manipulate fonts programmatically or via the TTX command-line tool.
Docutils converts plaintext documentation in reStructuredText format into multiple output formats including HTML, XML, and LaTeX using a modular processing system.
RapidFuzz provides fast fuzzy string matching using Levenshtein Distance and related metrics, implemented mostly in C++ with Python bindings for rapid similarity scoring and approximate string matching.
Install it if you need fuzzy string matching; it's a solid replacement for FuzzyWuzzy with better licensing and performance.
tinycss2 parses CSS strings into token and block objects, and generates CSS strings from those objects, following the CSS Syntax Level 3 specification without enforcing specific properties or values.
Install it if your project requires CSS tokenization or syntax manipulation.
See also case-converter · case-conversion · case-convert · pyhumps · StrEnum · stringcase · pyheck · casefy · textcase · camel-converter