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https://github.com/orsinium-labs/true-north

🧭 Powerful and Pythonic framework for reproducible benchmarks of Python code.
https://github.com/orsinium-labs/true-north

benchmark benchmarks malloc malloc-benchmarks opcodes performance python python3 pythonic tracing

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🧭 Powerful and Pythonic framework for reproducible benchmarks of Python code.

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# true-north

Beautiful, powerful, and pythonic benchmarks engine for Python code.

Features:

+ Follows best practices of benchmarking to produce the most reliable results.
+ Detects caching and side-effects.
+ Traces memory usage and allocations (opt-in).
+ Opcodes tracing for reproducble benchmarks (opt-in).
+ 100% type safe.
+ Zero dependency.
+ Highly configurable.
+ Nice and colorful output.
+ Ships with CLI to discover and run all benchmarks.
+ A friendly API to write your own logic on top of benchmarks.

```text
sorting algorithms
list.sort
possible side-effect detected: slowest iteration x21 slower than fastest
5k loops, best of 5: 43.579 us ± 12.681 us ████▇
11 ops, 3961 ns/op
sorted
5k loops, best of 5: 43.911 us ± 3.697 us x1.01 slower █████
11 ops, 3991 ns/op
insert_sort
2 loops, best of 5: 100.662 ms ± 111.725 us x2309.85 slower █████
11_683_767 ops, 8 ns/op
```

## Installation

```bash
python3 -m pip install true-north
```

## Usage

```python
import true_north

group = true_north.Group()

@group.add
def math_sorted(r):
val = [1, 2, 3] * 300
# timer start before entering the loop
# and stops when leaving it
for _ in r:
sorted(val)

# run and print all benchmarks in the group
if __name__ == '__main__':
group.print()
```

See [examples](./examples/) for more examples and [true-north.orsinium.dev](https://true-north.orsinium.dev/) for chad documentation.