Python has a rich set of powerful, easy to use, built-in data types like
dictionaries, lists and tuples. These data types are also the lingua franca
of most data serialization libraries, for formats like json, msgpack, yaml or
toml.
Data types like this, and mappings like dict s in particular, represent
unstructured data. Your data is, in all likelihood, structured: not all
combinations of field names are values are valid inputs to your programs. In
Python, structured data is better represented with classes and enumerations.
attrs is an excellent library for declaratively describing the structure of
your data, and validating it.
When you're handed unstructured data (by your network, file system, database...),
cattrs helps to convert this data into structured data. When you have to
convert your structured data into data types other libraries can handle,
cattrs turns your classes and enumerations into dictionaries, integers and
strings.
Here's a simple taste. The list containing a flo
Based on the "Serialization" category.
Alternatively, view cattrs alternatives based on common mentions on social networks and blogs.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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