How do different Python libraries handle JSON data?

How do different Python libraries handle JSON data?

Different Python libraries like json, simplejson, and ujson handle JSON data in various ways. The built-in json library is standard and widely used, while simplejson offers additional features and better performance in some cases. ujson is optimized for speed but may lack some features of the standard library.

What are the performance differences between these libraries?

In general, ujson is the fastest for parsing and serializing JSON, followed by simplejson, and then the built-in json library. However, the performance can vary based on the specific use case and the complexity of the JSON data.

Are there any compatibility issues I should be aware of?

Most libraries are compatible with standard JSON, but there can be differences in how they handle edge cases, such as non-ASCII characters or specific data types. It's always a good idea to test your JSON data with the library you choose.

Which library would you recommend for a new project?

For most projects, the built-in json library is sufficient and easy to use. If you need better performance or additional features, consider simplejson. For high-performance needs, ujson is a great choice.