Baike.dev
All toolsAI codingTrendingOpen sourceNewsSubmit
Log in
< Back to tools
P

pyflame

> DevOps
Open source

Pyflame: A Ptracing Profiler For Python. This project is deprecated and not maintained.

3.0K stars0 likes0 views
WebsiteGitHub

About

Pyflame: A Ptracing Profiler For Python. This project is deprecated and not maintained.

Pyflame: A Ptracing Profiler For Python

(This project is deprecated and not maintained.)

Pyflame is a high performance profiling tool that generates flame graphs for Python. Pyflame is implemented in C++, and uses the Linux ptrace(2) system call to collect profiling information. It can take snapshots of the Python call stack without explicit instrumentation, meaning you can profile a program without modifying its source code. Pyflame is capable of profiling embedded Python interpreters like uWSGI. It fully supports profiling multi-threaded Python programs.

Pyflame usually introduces significantly less overhead than the builtin profile (or cProfile) modules, and emits richer profiling data. The profiling overhead is low enough that you can use it to profile live processes in production.

Full Documentation: https://pyflame.readthedocs.io

Quickstart

Building And Installing

For Debian/Ubuntu, install the following:

bash
# Install build dependencies on Debian or Ubuntu.
sudo apt-get install autoconf automake autotools-dev g++ pkg-config python-dev python3-dev libtool make

Once you have the build dependencies installed:

bash
./autogen.sh
./configure
make

The make command will produce an executable at src/pyflame that you can run and use.

Optionally, if you have virtualenv installed, you can test the executable you produced using make check.

Using Pyflame

The full documentation for using Pyflame is here. But here's a quick guide:

bash
# Attach to PID 12345 and profile it for 1 second
pyflame -p 12345

# Attach to PID 768 and profile it for 5 seconds, sampling every 0.01 seconds
pyflame -s 5 -r 0.01 -p 768

# Run py.test against tests/, emitting sample data to prof.txt
pyflame -o prof.txt -t py.test tests/

In all of these cases you will get flame graph data on stdout (or to a file if you used -o). This data is in the format expected by flamegraph.pl, which you can find here.

FAQ

The full FAQ is here.

What's The Deal With (idle) Time?

Full answer here. tl;dr: use the -x flag to suppress (idle) output.

What About These Ptrace Errors?

See here.

How Do I Profile Threaded Applications?

Use the --threads option.

Is There A Way To Just Dump Stack Traces?

Yes, use the -d option.

Issues· 0 open

View all issuesOpen on GitHub

No open issues yet, or sync has not completed.

> Tags

C++debiandockerfedoraflame-charts

No comments yet. Be the first to share.

> Details

PublishedAug 1, 2026
UpdatedSep 17, 2026
CategoryDevOps
PricingOpen source

> Related tools

D
Docker
容器化平台,标准化应用交付
G
GitHub Actions
GitHub 原生 CI/CD 工作流
N
Nginx
高性能 Web 服务器与反向代理