GitHub - uber-archive/pyflame: 🔥 Pyflame: A Ptracing Profiler For Python. This project is deprecated and not maintained.

Different python profiling tools use different methodologies for gathering performance data and hence have different runtime overhead. Before choosing a profiler tool it is helpful to understand two commonly employed techniques for collecting performance data : Deterministic profiling Deterministic profilers execute trace functions at various points of interest (e.g. function call, function return) and record […]

If you are working in the area of scientific computing, in academia or industry, most likely you are using Python in some form. Traditionally Python is described as slow when it comes to performance and there are number of discussions about speed compared to native C/C++ applications 1 2. The goal of this post is […]

Профилирование - это первое, что должно приходить в голову, когда у нас встаёт вопрос производительности приложения. Если грамотно провести профилирование приложения, то суть проблем произвдительности становится намного понятнее, и фиксы можно создавать уже более осмысленно.

Homepage for Flame Graphs: a visualization for stack traces.