Vprof

Vprof - visualize Python performance and memo… | Awesome Repos

Features

Python Profilers - Provides a comprehensive suite for measuring execution time and identifying CPU bottlenecks in Python programs.
Code Execution Profilers - Analyzes runtime performance of code using heatmaps that show execution counts and run times for every line.
Source Code Heatmaps - Produces heatmaps of source code showing execution counts and run times for every line.
CPU Profilers - Captures periodic snapshots of the call stack to estimate execution time and identify performance bottlenecks.
Visual Profiling Toolkits - Provides an interactive visual interface for analyzing Python performance via flame graphs, heatmaps, and statistics.
Execution Heatmaps - Overlays execution frequency and duration data directly onto source code for visual performance analysis.
Execution Tracking - Instruments source code to record execution counts and timing statistics for every individual line of code.
Memory Leak Detectors - Interfaces with the Python memory manager to track object allocations and identify memory leaks.
Memory Consumption Trackers - Tracks objects in the garbage collector and monitors process memory usage to identify leaks and heavy allocations.
Python Execution Visualizations - Generates interactive charts and heatmaps to analyze how a Python program performs across its call stack.
Line-Level Resource Monitors - Provides granular profiling that pinpoints specific lines of code responsible for memory consumption and performance overhead.
Flame Graphs - Generates interactive flame graphs of call stacks to identify resource-intensive functions and processing bottlenecks.
Performance Code Auditing - Visualizes line-by-line execution counts and run times through heatmaps to optimize specific blocks of code.
Remote Profiling Streams - Transports profiling metrics from a target Python process to a separate visualization server via network sockets.
Remote Profiling Interfaces - Implements interfaces to capture and render performance statistics from functions running on a remote server.
Remote Function Profiling - Deno profiling utility that captures performance metrics for individual functions by routing data to a remote visualization server.
Remote Monitoring - Captures and renders performance statistics from functions running on a remote server.
Program Execution Visualization - Transforms raw profiler data into interactive charts and visual maps of program resource consumption.

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joerick/pyinstrument
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See all 30 alternatives to Vprof

nvdvvprof

Features

Open-source alternatives to Vprof

plasma-umass/scalene

uber-archive/go-torch

pythonprofilers/memory_profiler

joerick/pyinstrument

Star history

Open-source alternatives to Vprof

plasma-umass/scalene

uber-archive/go-torch

pythonprofilers/memory_profiler

joerick/pyinstrument