High-performance, JIT-compiled time-series and signal processing core.
Project description
⚡ TurboSignal
A high-performance time-series processing library built for Data Scientists and Physicists. Uses Numba JIT and C-level multithreading to bypass the Python GIL.
Why TurboSignal?
Pandas is great, but it runs on a single thread. When analyzing millions of data points (IoT sensors, high-frequency trading, astrophysics), Pandas becomes a bottleneck. TurboSignal distributes the math across all your CPU cores.
Benchmark (10 Million Data Points - Rolling Window):
- 🐼 Pandas
.rolling().mean(): ~1.20 seconds - ⚡ TurboSignal: ~0.03 seconds (40x Faster)
Installation
pip install turbosignal
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