Pyinstrument

screenshot of Pyinstrument
django

Call stack profiler for Python. Shows you why your code is slow!

Overview

Pyinstrument is an intuitive Python profiler designed to help developers optimize their code performance effectively. By identifying the slowest parts of your programs, it allows you to focus your efforts on the areas that will yield the greatest speed improvements. This powerful tool is particularly useful in seemingly complex projects, ensuring that even novice programmers can leverage profiling to enhance their code's efficiency.

With support for Python 3.8 and above, Pyinstrument streamlines the process of profiling, offering detailed insights into your code’s execution time and bottlenecks. Whether you are working in a local environment or dealing with databases and web applications, this profiler delivers essential data to refine and accelerate your scripts.

Features

  • Easy Installation: Pyinstrument can be easily installed for Python versions 3.8 and above, making accessibility straightforward for users.
  • Customizable Profiling: The ability to customize descriptions using the CLI option --target-description enhances the clarity of profiling results.
  • Support for Django: Users can set the interval for Django middleware profiling through the PYINSTRUMENT_INTERVAL option, ensuring accurate performance measurement.
  • Interactive HTML Renderer: The HTML output is user-friendly, with interactive options and a timeline mode allowing for detailed analysis and navigation through call stacks.
  • Memory Leak Fixes: Regular updates have focused on fixing memory leaks and improving performance, making it more reliable over time.
  • Adaptable Duration Precision: Print durations adapt based on the interval, providing a clear overview of execution times while hiding unnecessary details.
  • Documentation & Examples: Comprehensive documentation and examples, including those for FastAPI and Django integrations, aid users in getting the most out of the tool.
  • Known Issues & Workarounds: Transparency about known issues, like potential problems in Docker environments and with serialization, helps users troubleshoot effectively.

Overall, Pyinstrument is an excellent choice for developers looking to optimize their code, transforming complex performance data into actionable insights.

django
Django

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. It follows the model-view-controller (MVC) architectural pattern, providing an extensive set of built-in tools and conventions to streamline the creation of robust and scalable web applications.