PyBench
pytest-benchmark
| PyBench | pytest-benchmark | |
|---|---|---|
| 1 | 2 | |
| 7 | 1,204 | |
| - | - | |
| 5.1 | 6.0 | |
| 4 months ago | about 2 months ago | |
| Python | Python | |
| MIT License | BSD 2-clause "Simplified" 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.
PyBench
pytest-benchmark
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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.
What are some alternatives?
OAuthLib - A generic, spec-compliant, thorough implementation of the OAuth request-signing logic
pytest-codspeed - Pytest plugin to create CodSpeed benchmarks
uwsgi-nginx-flask-docker - Docker image with uWSGI and Nginx for Flask applications in Python running in a single container.
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.
pyperf - Toolkit to run Python benchmarks
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
asv - Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
benchmark-imports - CLI tool to record how much time it takes to import each dependency in a Python project
CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
FlameGraph - Stack trace visualizer