pytest-benchmark
pyperf
| pytest-benchmark | pyperf | |
|---|---|---|
| 2 | 1 | |
| 1,200 | 738 | |
| - | 2.6% | |
| 6.0 | 6.2 | |
| about 2 months ago | 1 day ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pytest-benchmark
-
Pinpoint performance regressions with CI-Integrated differential profiling
pytest-benchmark
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Investigating Pydantic v2's Bold Performance Claims
To test this, we will setup some benchmarks using pytest-benchmark, some sample data with a simple schema, and compare results between Python's dataclass, Pydantic v1, and v2.
pyperf
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The Performance Benchmarks Comparing various combinations of GCC and Python
Finally, we use pyperf to compare the performance and generate Markdown tables.
What are some alternatives?
pytest-codspeed - Pytest plugin to create CodSpeed benchmarks
pyperformance - Python Performance Benchmark Suite
pydantic-core - Core validation logic for pydantic written in rust
action - Github Actions for running CodSpeed in your CI
cloud_benchmarker - Cloud Benchmarker automates performance testing of cloud instances, offering insightful charts and tracking over time.
CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
locust - Write scalable load tests in plain Python 🚗💨
asv - Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
python-benchmark-harness - A micro/macro benchmark framework for the Python programming language that helps with optimizing your software.