# application_settings - version 0.5.0
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"You write the dataclasses to define parameters for configuration and settings,
application\_settings takes care of the logic."
## What and why
Application\_settings is a package for providing a python application or library with
parameters for configuration and settings. It uses [toml](https://toml.io/en/) or
[json](https://www.json.org/) files that are parsed
into dataclasses. This brings some benefits:
- Minimal work for the developer of the application / library
- Parameters are typed, which allows for improved static code analyses.
- IDEs will provide helpful hints and completion when using the parameters.
- More control over what happens when a file contains mistakes
(by leveraging the power of [pydantic](https://docs.pydantic.dev/)).
- Possibility to specify defaults when no file is found or entries are missing, i.e.,
aim for "zeroconf".
- Configuration parameters are read-only (i.e., changed by editing the config file); we
recommend (and support) the use of `toml` for this, which is a human-oriented,
flexible, standardardized and not overly complex format.
- Settings parameters are read-write (i.e., mostly changed via the UI of the
application); we recommend (and support) use `json` for this, an established
standardized machine-oriented format.
Parsing is done once before or during first access and the resulting set of parameters is
stored as a singleton.
Interested? Then have a look at our
[quick start](https://stockwatchdev.github.io/application_settings/0.5.0/Quick_start/)
or dive into the
[full documentation](https://stockwatchdev.github.io/application_settings/0.5.0/).
If you appreciate this library package, then please give us a star on
[Github](https://github.com/StockwatchDev/application_settings).
[//]: # (Change version in header and link to published quick start and full doc)
## License
This project is licensed under the terms of the MIT license.
Raw data
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