pytest-benchmark
benchmark-imports
pytest-benchmark | benchmark-imports | |
---|---|---|
2 | 6 | |
1,200 | 9 | |
- | - | |
6.0 | 10.0 | |
about 2 months ago | about 2 years 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
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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.
benchmark-imports
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
pyinstrument - 🚴 Call stack profiler for Python. Shows you why your code is slow!
action - Github Actions for running CodSpeed in your CI
github-stats - Better GitHub statistics images for your profile, with stats from private repos too
cloud_benchmarker - Cloud Benchmarker automates performance testing of cloud instances, offering insightful charts and tracking over time.
yappi - Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.
pyperf - Toolkit to run Python benchmarks
github-actions-version-updater - A GitHub Action that Updates All GitHub Actions in a Repository and Creates a Pull Request with the Updates
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