![]() Performance may differ between CPUs, Python versions and library versions. Make sure to compare modules on a sample of your own data and in your own environment.If you really love speed and don’t mind writing some pandas conversions yourself from time to time, `msgspec` may be the right answer.If working in pandas you may choose pandas.read_json to easily convert json to pandas dataframe. ![]()
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