mystrtools

Small Python utilities to convert strings across common naming styles.

Supported styles:

• camelCase
• PascalCase
• snake_case
• kebab-case
• space separated words

Citation

If you use mystrtools, please cite it using CITATION.cff.

DOI: 10.5281/zenodo.18832671

Installation

With Poetry:

poetry install

Or as a package dependency:

pip install mystrtools

Quick Start

from mystrtools import camel_case, snake_case, kebab_case, pascal_case, camel_to_spaces

camel_case("hello_world")         # "helloWorld"
pascal_case("hello_world")        # "HelloWorld"
snake_case("HelloWorld")          # "hello_world"
kebab_case("HelloWorld")          # "hello-world"
camel_to_spaces("JSONParser")     # "json parser"

Core Methods

camel_case(text: str) -> str

Converts any supported input style to camelCase.

pascal_case(text: str) -> str

Converts any supported input style to PascalCase.

snake_case(text: str) -> str

Converts any supported input style to snake_case.

kebab_case(text: str) -> str

Converts any supported input style to kebab-case.

camel_to_spaces(text: str) -> str

Converts any supported input style to lowercase space-separated words.

Generic Cross-Format Conversion

convert_case(text: str, to_format: CaseFormat) -> str

CaseFormat accepted values:

• "camel"
• "pascal"
• "snake"
• "kebab"
• "space"

Example:

from mystrtools import convert_case

convert_case("hello_world", "camel")   # "helloWorld"
convert_case("JSONParser", "snake")    # "json_parser"
convert_case("convert2JSON", "space")  # "convert 2 json"

If to_format is not valid, convert_case raises ValueError.

Explicit Transition Methods

All direct transitions are also available as dedicated helper functions.

From camel:

• camel_to_pascal
• camel_to_snake
• camel_to_kebab
• camel_to_space

From pascal:

• pascal_to_camel
• pascal_to_snake
• pascal_to_kebab
• pascal_to_space

From snake:

• snake_to_camel
• snake_to_pascal
• snake_to_kebab
• snake_to_space

From kebab:

• kebab_to_camel
• kebab_to_pascal
• kebab_to_snake
• kebab_to_space

From space-separated:

• space_to_camel
• space_to_pascal
• space_to_snake
• space_to_kebab

Example:

from mystrtools import snake_to_camel, kebab_to_snake, space_to_pascal

snake_to_camel("hello_world")  # "helloWorld"
kebab_to_snake("hello-world")  # "hello_world"
space_to_pascal("hello world") # "HelloWorld"

Compatibility Matrix

The table below shows supported conversions between source and target styles.

Note: all methods share the same normalization behavior (acronyms, mixed separators, numbers, and blank input handling).

Quick examples by source format:

from mystrtools import convert_case

convert_case("helloWorld", "snake")   # camel -> snake: "hello_world"
convert_case("HelloWorld", "kebab")  # pascal -> kebab: "hello-world"
convert_case("hello_world", "pascal")# snake -> pascal: "HelloWorld"
convert_case("hello-world", "camel") # kebab -> camel: "helloWorld"
convert_case("hello world", "snake") # space -> snake: "hello_world"

Edge-Case Conversion Matrix

Reference outputs for common tricky inputs:

Normalization Rules

The library applies the same normalization logic across all methods:

• Handles mixed separators (_, -, spaces, punctuation)
• Splits acronyms consistently (JSONParser -> json parser)
• Keeps numeric blocks (version2Update -> version_2_update in snake)
• Returns an empty string for empty/blank input

Development

Run tests:

pytest -q

Testing & Coverage

The project is configured to run tests with coverage reporting.

Run full test suite with coverage:

pytest

Generated artifacts:

• Terminal coverage summary
• HTML report in coverage/coverage_html
• XML report in coverage/coverage.xml
• JSON report in coverage/coverage.json

Example result:

61 passed
TOTAL ... 100%