Source: dacite Section: python Priority: optional Maintainer: Debian Python Team Uploaders: Valentin Vidic Build-Depends: debhelper-compat (= 13), dh-python, python3-all, python3-pytest, python3-pytest-benchmark, python3-setuptools, Standards-Version: 4.6.2 Rules-Requires-Root: no Homepage: https://github.com/konradhalas/dacite Vcs-Git: https://salsa.debian.org/python-team/packages/dacite.git Vcs-Browser: https://salsa.debian.org/python-team/packages/dacite Package: python3-dacite Architecture: all Depends: ${misc:Depends}, ${python3:Depends}, Description: Simple creation of data classes from dictionaries Passing plain dictionaries as a data container between your functions or methods isn't a good practice. Of course you can always create your custom class instead, but this solution is an overkill if you only want to merge a few fields within a single object. . Fortunately Python has a good solution to this problem - data classes. Thanks to `@dataclass` decorator you can easily create a new custom type with a list of given fields in a declarative manner. Data classes support type hints by design. . However, even if you are using data classes, you have to create their instances somehow. In many such cases, your input is a dictionary - it can be a payload from a HTTP request or a raw data from a database. If you want to convert those dictionaries into data classes, `dacite` is your best friend. . This library was originally created to simplify creation of type hinted data transfer objects (DTO) which can cross the boundaries in the application architecture. . It's important to mention that `dacite` is not a data validation library. There are dozens of awesome data validation projects and it doesn't make sense to duplicate this functionality within `dacite`. If you want to validate your data first, you should combine `dacite` with one of data validation library.