CipherToken Benchmarks¶
CipherToken is a high-performance Python token library designed for applications that require fast token creation and verification with minimal overhead.
This benchmark compares CipherToken against popular Python JWT libraries using the HS256 algorithm.
Benchmark Summary¶
🏆 CipherToken achieved the highest performance in every benchmark category tested.
| Library | Token Creation (ops/sec) | Token Verification (ops/sec) |
|---|---|---|
| CipherToken | 587,156 | 244,500 |
| PyJWT | 101,591 | 35,928 |
| python-jose | 103,861 | 27,638 |
Performance Advantage¶
Token Creation¶
- CipherToken is 5.78x faster than PyJWT.
- CipherToken is 5.65x faster than python-jose.
Token Verification¶
- CipherToken is 6.80x faster than PyJWT.
- CipherToken is 8.85x faster than python-jose.
Benchmark Environment¶
- Python 3.14
- HS256 algorithm
- 100,000 iterations per benchmark
- Average of 5 runs
- Identical payload for all libraries
Payload¶
Why CipherToken Is Faster¶
CipherToken is designed with performance as a primary goal. The entire signing and verification pipeline runs in compiled Rust via PyO3, so Python only pays the cost of a single native call.
Key optimizations include:
- Minimal runtime overhead
- Efficient token generation
- Optimized token verification
- Modern implementation focused on high throughput
- Suitable for APIs, authentication services, and microservices
Real-World Benefits¶
Higher throughput means:
- Faster API responses
- Lower CPU usage
- Better scalability
- More requests handled per server
- Reduced infrastructure costs
Benchmark Notes¶
The benchmark was executed on the same machine under identical conditions.
Results may vary depending on:
- Hardware
- Python version
- Payload size
- Selected algorithm
- Application workload
However, the benchmark consistently showed CipherToken outperforming the compared libraries in both token creation and verification workloads.
Conclusion¶
For applications requiring fast token operations, CipherToken demonstrated the strongest performance in this benchmark, achieving significantly higher throughput than PyJWT and python-jose while maintaining a simple developer experience.
Next steps: