camel-converter
Converts a string from snake case to camel case or camel case to snake case
Decision gist · record as of 2026-08-14
Yes. Zero runtime dependencies, permissive MIT license, active maintenance, and broad Python version support (3.10–3.14) make this a safe, low-friction addition. Install it when you need to bridge naming conventions between Python and external APIs or JSON data—the common case for web services and data integration work.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction install with no runtime dependencies.
- Actively maintained as of 2026-03-05, marked Production/Stable, and supports current Python versions from 3.10 through 3.14.
License · maintenance · safety
permissive license (permissive) — MIT License permits free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
last release 2026-03-05 (162 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,947,650 downloads/mo, #3,414 on PyPI
Alternatives
Verify before relying
pip install camel-converter
from camel_converter import to_snake, to_camel
snake = to_snake("myString") # 'my_string'
camel = to_camel("my_string") # 'myString'- Behavior when handling acronyms or consecutive uppercase letters (e.g., 'HTTPServer' → 'http_server' or 'h_t_t_p_server')
- Performance characteristics with deeply nested dictionaries or very large key sets
- Whether the optional Pydantic extra is compatible with Pydantic v2
What it is and what it does
Camel Converter is a lightweight utility for transforming naming conventions between camelCase (used in JSON and JavaScript), snake_case (Python convention), and PascalCase. It operates on individual strings, dictionary keys, and class attributes, making it useful when bridging Python code with external APIs or data formats that use different naming standards.
The package provides standalone functions (to_snake, to_camel, to_pascal), dictionary converters (dict_to_snake, dict_to_camel, dict_to_pascal), decorators for automatic conversion on function return values, a base Converter class for adding conversion methods to custom classes, and an optional Pydantic integration (via the pydantic extra) that automatically handles case conversion in model serialization and deserialization.
Use it for
- Parse JSON APIs that use camelCase keys into Python objects with snake_case attributes
- Convert Python dictionaries with snake_case keys to camelCase for JSON serialization to external services
- Decorate functions that return dictionaries to automatically normalize key naming conventions
- Build Pydantic models that accept camelCase input data and expose snake_case fields internally
- Create custom classes that serialize to camelCase while maintaining snake_case in Python code
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Zero runtime dependencies, permissive MIT license, active maintenance, and broad Python version support (3.10–3.14) make this a safe, low-friction addition. Install it when you need to bridge naming conventions between Python and external APIs or JSON data—the common case for web services and data integration work.
Install
camel-converter on PyPI
Before you install
Low friction install with no runtime dependencies. Actively maintained as of 2026-03-05, marked Production/Stable, and supports current Python versions from 3.10 through 3.14.
License in practice
MIT License permits free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
Quickstart
pip install camel-converter
from camel_converter import to_snake, to_camel
snake = to_snake("myString") # 'my_string'
camel = to_camel("my_string") # 'myString'Verify before relying
- Behavior when handling acronyms or consecutive uppercase letters (e.g., 'HTTPServer' → 'http_server' or 'h_t_t_p_server')
- Performance characteristics with deeply nested dictionaries or very large key sets
- Whether the optional Pydantic extra is compatible with Pydantic v2
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 162 days since the last release |
| First released | |
| Downloads | 1,947,650 / month, #3,414 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Typing :: Typed |
Evidence: camel_converter-5.1.0-py3-none-any.whl
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See also djangorestframework-camel-case · pyhumps · case-convert · case-conversion · pyheck · stringcase · jinja2-strcase · boa-str · humps · textcase