Documentation Index
Fetch the complete documentation index at: https://numpyts.dev/llms.txt
Use this file to discover all available pages before exploring further.
How does numpy-ts performance scale with array size compared to NumPy? This page shows the full picture.
All benchmarks measure computation time from JS and Python, respectively. To learn more, check out benchmark methodology. Size Scaling Summary
| Array Size | Avg Speedup | Best Case | Worst Case | Benchmarks |
|---|
| Small (100) | 1.17x | 37.83x | 0.10x | 2390 |
| Medium (1K) | 1.00x | 39.58x | 0.11x | 2390 |
| Large (10K) | 1.23x | 2336.20x | 0.11x | 2379 |
Small (100) — by Category
| Category | Avg Speedup | Count |
|---|
| creation | 1.48x | 213 |
| arithmetic | 0.78x | 295 |
| math | 0.61x | 125 |
| trig | 0.59x | 216 |
| gradient | 3.85x | 22 |
| linalg | 1.46x | 269 |
| reductions | 1.91x | 413 |
| manipulation | 1.13x | 231 |
| io | 3.39x | 66 |
| indexing | 0.89x | 115 |
| bitwise | 0.54x | 10 |
| sorting | 0.65x | 75 |
| logic | 0.99x | 142 |
| statistics | 2.93x | 26 |
| sets | 2.43x | 33 |
| random | 1.00x | 46 |
| polynomials | 2.04x | 27 |
| fft | 1.11x | 66 |
Medium (1K) — by Category
| Category | Avg Speedup | Count |
|---|
| creation | 1.19x | 213 |
| arithmetic | 1.00x | 295 |
| math | 0.56x | 125 |
| trig | 0.55x | 216 |
| gradient | 3.34x | 22 |
| linalg | 1.53x | 269 |
| reductions | 0.91x | 413 |
| manipulation | 1.07x | 231 |
| io | 2.17x | 66 |
| indexing | 0.59x | 115 |
| bitwise | 0.47x | 10 |
| sorting | 0.80x | 75 |
| logic | 1.49x | 142 |
| statistics | 1.34x | 26 |
| sets | 2.05x | 33 |
| random | 0.85x | 46 |
| polynomials | 2.00x | 27 |
| fft | 0.67x | 66 |
Large (10K) — by Category
| Category | Avg Speedup | Count |
|---|
| creation | 3.25x | 213 |
| arithmetic | 1.67x | 295 |
| math | 0.64x | 125 |
| trig | 0.65x | 216 |
| gradient | 5.78x | 22 |
| linalg | 1.37x | 269 |
| reductions | 0.58x | 413 |
| manipulation | 1.42x | 231 |
| io | 2.77x | 55 |
| indexing | 0.53x | 115 |
| bitwise | 0.98x | 10 |
| sorting | 0.99x | 75 |
| logic | 4.45x | 142 |
| statistics | 0.99x | 26 |
| sets | 5.49x | 33 |
| random | 0.83x | 46 |
| polynomials | 1.98x | 27 |
| fft | 1.03x | 66 |
