humps
camelCase converter
Decision gist · record as of 2026-08-14
No—unless you have a specific, isolated need for camelCase conversion and cannot use a maintained alternative. The package is abandoned (last commit 2018), has minimal maintenance signal, and offers no advantage over a three-line helper function or a maintained library. The copyleft license also adds friction if you're building proprietary software. Install only if you're already committed to this exact implementation and willing to fork it yourself.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Installation is frictionless with no runtime dependencies, but the package is abandoned—last updated in 2018 with no commits since.
- Use only if the specific camelCase conversion behavior meets your needs and you're comfortable maintaining a fork if issues arise.
License · maintenance · safety
LGPL-3.0 (copyleft) — Licensed under LGPL-3.0 (copyleft). Any derivative work or modification must be released under the same license; static linking or bundling may trigger copyleft obligations depending on your distribution model.
last release 2018-03-13 (3076 days) · last repo commit 2018-03-13 · 3 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 163,932 downloads/mo, #10,560 on PyPI
Alternatives
Verify before relying
pip install humps
from humps.camel import case
print(case('Hello, World!'))
# Output: helloWorld- Whether the package handles Unicode or non-ASCII characters correctly.
- Compatibility with Python versions beyond those tested at release (2018).
- Performance characteristics on very long strings or high-volume conversions.
What it is and what it does
humps is a lightweight string-to-camelCase converter with no external dependencies. It normalizes input by lowercasing the first character, capitalizing characters that follow spaces, and stripping non-alphanumeric characters. The package is simple and focused: it does one task and does it without pulling in additional libraries.
The project has been abandoned since its initial release in 2018, with no maintenance activity or updates since. While the core functionality is straightforward and unlikely to break, you should expect no bug fixes, no Python version compatibility updates, and no response to issues. For a basic camelCase conversion in a small project, it works; for production systems or long-term maintenance, consider whether you need a maintained alternative or can implement the conversion inline.
Use it for
- Convert API response field names from snake_case to camelCase for JavaScript interoperability.
- Normalize configuration keys or command-line argument names to camelCase format.
- Transform database column names or CSV headers to camelCase for object mapping.
- Build a simple string formatter for code generation or template systems that require camelCase identifiers.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No—unless you have a specific, isolated need for camelCase conversion and cannot use a maintained alternative.
The package is abandoned (last commit 2018), has minimal maintenance signal, and offers no advantage over a three-line helper function or a maintained library. The copyleft license also adds friction if you're building proprietary software. Install only if you're already committed to this exact implementation and willing to fork it yourself.
Install
humps on PyPI
Before you install
Installation is frictionless with no runtime dependencies, but the package is abandoned—last updated in 2018 with no commits since. Use only if the specific camelCase conversion behavior meets your needs and you're comfortable maintaining a fork if issues arise.
License in practice
Licensed under LGPL-3.0 (copyleft). Any derivative work or modification must be released under the same license; static linking or bundling may trigger copyleft obligations depending on your distribution model.
Quickstart
pip install humps
from humps.camel import case
print(case('Hello, World!'))
# Output: helloWorldVerify before relying
- Whether the package handles Unicode or non-ASCII characters correctly.
- Compatibility with Python versions beyond those tested at release (2018).
- Performance characteristics on very long strings or high-volume conversions.
Package facts
| License | LGPL-3.0 copyleft |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 3,076 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 163,932 / month, #10,560 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: Other EnvironmentIntended Audience :: DevelopersLicense :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)Operating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Topic :: Software DevelopmentTopic :: Text EditorsTopic :: Text Editors :: Word ProcessorsTopic :: Text ProcessingTopic :: Text Processing :: GeneralTopic :: Utilities |
Evidence: humps-0.2.2-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 converter”
- humpsConverts strings to camelCase format, handling spaces, case…
- casefyCasefy converts strings between different casing conventions…
- stringcaseConverts strings between different naming conventions (camelCase,…
Give your agent the search over MCP, or paste the wish link into any chat.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also pyhumps · case-convert · case-converter · textcase · stringcase · case-conversion · fold-to-ascii · camel-converter · Inflector · pockets