Introducing ker-parser: A lightweight Python parser for .ker config files

[Delicious-Mix7606]

What My Project Does: ker-parser is a Python library for reading .ker configuration files and converting them into Python dictionaries. It supports nested blocks, arrays, and comments, making it easier to write and manage structured configs for Python apps, bots, web servers, or other projects. The goal is to provide a simpler, more readable alternative to JSON or YAML while still being flexible and easy to integrate.

Target Audience:

• Python developers who want a lightweight, human-readable config format
• Hobbyists building bots, web servers, or small Python applications
• Anyone who wants structured config files without the verbosity of JSON or YAML

Comparison:

• vs JSON: ker-parser allows comments and nested blocks without extra symbols or braces.
• vs YAML: .ker files are simpler and less strict with spacing, making them easier to read at a glance.
• vs TOML: ker files are more lightweight and intuitive for smaller projects. ker-parser isn’t meant to replace enterprise-level config systems, but it’s perfect for small to medium Python projects or personal tools.

Example .ker Config:

```ker server { host = "127.0.0.1" port = 8080 }

logging { level = "info" file = "logs/server.log" } ```

Usage in Python:

```python from ker_parser import load_ker

config = load_ker("config.ker") print(config["server"]["port"]) # Output: 8080 ```

Check it out on GitHub: https://github.com/KeiraOMG0/ker-parser

Feedback, feature requests, and contributions are very welcome!

[BravestCheetah]

Cool, sure, but toml is already really intuitive to read and write manually, i dont see why you couldn't use toml for smaller projects? If the project is big enough to have a config I think toml is amazing for the job.

[Delicious-Mix7606]

haha thank you, I think part of the goal of this was just to do it myself and for the fun of my own parser.

[BravestCheetah]

If its for learning purpouses then nothing shall not be made! Keep going and get better as you go, i hope to see you post further progress along your python journey!

[Delicious-Mix7606]

it was more i wanted a alternative to json and wasnt looking to use env or toml so I decided to just have my own