Environment: Python 3.12.0 |
DataSON: v0.13.0 |
Framework: improved_v1 |
Scenarios: 5 tested
Performance comparison across different DataSON API methods for real-world scenarios.
DataSON performance compared to other popular serialization libraries.
Api Response Processing
Competitive analysis for api_response_processing
Serialization Performance:
Deserialization Performance:
Output Size Comparison:
datason:
3 string chars
orjson:
863 bytes
ujson:
863 string chars
json:
952 string chars
pickle:
702 bytes
msgpack:
682 bytes
Secure Data Storage
Competitive analysis for secure_data_storage
Serialization Performance:
Deserialization Performance:
Output Size Comparison:
datason:
2 string chars
orjson:
309 bytes
ujson:
309 string chars
json:
331 string chars
pickle:
329 bytes
msgpack:
258 bytes
Ml Model Serialization
Competitive analysis for ml_model_serialization
Serialization Performance:
Deserialization Performance:
Output Size Comparison:
datason:
1 string chars
orjson:
1,181 bytes
ujson:
1,181 string chars
json:
1,308 string chars
pickle:
1,171 bytes
msgpack:
1,113 bytes
Mobile App Sync
Competitive analysis for mobile_app_sync
Serialization Performance:
Deserialization Performance:
Output Size Comparison:
datason:
1 string chars
orjson:
937 bytes
ujson:
937 string chars
json:
1,002 string chars
pickle:
928 bytes
msgpack:
789 bytes
Web Service Integration
Competitive analysis for web_service_integration
Serialization Performance:
Deserialization Performance:
Output Size Comparison:
datason:
1 string chars
orjson:
341 bytes
ujson:
345 string chars
json:
374 string chars
pickle:
358 bytes
msgpack:
284 bytes
Performance baseline for DataSON v0.13.0 - future versions will be compared against these metrics.
5
Scenarios Tested
0ms
Avg Serialize Time
0ms
Avg Deserialize Time
0/5
Success Rate