I have code that relies heavily on yaml for cross-language serialization and while working on speeding some stuff up I noticed that yaml was insanely slow compared to other
A cursory look at python-yaml suggests its design is much more complex than cjson's:
>>> dir(cjson)
['DecodeError', 'EncodeError', 'Error', '__doc__', '__file__', '__name__', '__package__',
'__version__', 'decode', 'encode']
>>> dir(yaml)
['AliasEvent', 'AliasToken', 'AnchorToken', 'BaseDumper', 'BaseLoader', 'BlockEndToken',
'BlockEntryToken', 'BlockMappingStartToken', 'BlockSequenceStartToken', 'CBaseDumper',
'CBaseLoader', 'CDumper', 'CLoader', 'CSafeDumper', 'CSafeLoader', 'CollectionEndEvent',
'CollectionNode', 'CollectionStartEvent', 'DirectiveToken', 'DocumentEndEvent', 'DocumentEndToken',
'DocumentStartEvent', 'DocumentStartToken', 'Dumper', 'Event', 'FlowEntryToken',
'FlowMappingEndToken', 'FlowMappingStartToken', 'FlowSequenceEndToken', 'FlowSequenceStartToken',
'KeyToken', 'Loader', 'MappingEndEvent', 'MappingNode', 'MappingStartEvent', 'Mark',
'MarkedYAMLError', 'Node', 'NodeEvent', 'SafeDumper', 'SafeLoader', 'ScalarEvent',
'ScalarNode', 'ScalarToken', 'SequenceEndEvent', 'SequenceNode', 'SequenceStartEvent',
'StreamEndEvent', 'StreamEndToken', 'StreamStartEvent', 'StreamStartToken', 'TagToken',
'Token', 'ValueToken', 'YAMLError', 'YAMLObject', 'YAMLObjectMetaclass', '__builtins__',
'__doc__', '__file__', '__name__', '__package__', '__path__', '__version__', '__with_libyaml__',
'add_constructor', 'add_implicit_resolver', 'add_multi_constructor', 'add_multi_representer',
'add_path_resolver', 'add_representer', 'compose', 'compose_all', 'composer', 'constructor',
'cyaml', 'dump', 'dump_all', 'dumper', 'emit', 'emitter', 'error', 'events', 'load',
'load_all', 'loader', 'nodes', 'parse', 'parser', 'reader', 'representer', 'resolver',
'safe_dump', 'safe_dump_all', 'safe_load', 'safe_load_all', 'scan', 'scanner', 'serialize',
'serialize_all', 'serializer', 'tokens']
More complex designs almost invariably mean slower designs, and this is far more complex than most people will ever need.