hdrhistogram

from hdrhistogram import HdrHistogram # Create a histogram with a precision of 3 significant digits, # a max value of 1,000,000 (1 second), and a min value of 1 (1 microsecond). # The internal C library will auto-adjust max value if exceeded. h = HdrHistogram(1, 1_000_000, 3) # Record some values (e.g., latencies in microseconds) h.record_value(100) h.record_value(150) h.record_value(1000) h.record_value(1000) h.record_value(1000) h.record_value(5000) h.record_value(100_000) # This will exceed the initial max, but the histogram self-adjusts print(f"Total count: {h.total_count}") print(f"Min value: {h.min_value}") print(f"Max value: {h.max_value}") print(f"Mean value: {h.mean_value:.2f}") print(f"Std Deviation: {h.std_deviation:.2f}") print("\nPercentiles:") print(f"50th percentile: {h.get_value_at_percentile(50):.2f}") print(f"90th percentile: {h.get_value_at_percentile(90):.2f}") print(f"99th percentile: {h.get_value_at_percentile(99):.2f}") print(f"99.9th percentile: {h.get_value_at_percentile(99.9):.2f}") # You can also iterate through percentiles print("\nPercentile distribution:") for p, v in h.get_percentile_to_value_list(): if p % 10 == 0 or p > 99: # print every 10th percentile and high percentiles print(f"{p:>6.2f}th percentile: {v:>10.2f}") # Reset the histogram h.reset() print(f"\nAfter reset, total count: {h.total_count}")