The profiling package is an interactive Python profiler. It is inspired from Unity 3D profiler. This package provides these features:

1. Profiling statistics keep the frame stack.
2. An interactive TUI profiling statistics viewer.
3. Utilities for remote profiling.
4. Thread or greenlet aware CPU timer.
5. Supports both of Python 2 and Python 3.

[] (https://travis-ci.org/what-studio/profiling)

This project is under development yet. So you should install it via GitHub instead of PyPI:

pip install git+https://github.com/what-studio/profiling.git

To profile a single program, simply run profile command:

$ python -m profiling profile your-program.py

Then an interactive viewer will be executed:

If your program uses greenlets, choose greenlet timer:

$ python -m profiling profile your-program.py --timer=greenlet

With --dump option, it saves the profiling result to a file. You can browse save result by view command:

$ python -m profiling profile your-program.py --dump=your-program.prf
$ python -m profiling view your-program.prf

If your program has a long life time like a web server, profiling result at the end of progam doesn't help you. You will need a continuos profiler. It works by live-profile command:

$ python -m profiling live-profile webserver.py

See a demo.

There's a live-profiling server also. The server doesn't profile the program at ordinary times. But when a client connects to the server, it runs profiler and reports to the all connected clients. Start a server with remote-profile command:

$ python -m profiling remote-profile webserver.py --bind 127.0.0.1:8912

Then run a client with view command:

$ python -m profiling view 127.0.0.1:8912

• q - Quit.
• space - Pause/Resume.
• ↑ and ↓ - Navigate frames.
• → - Expand the frame.
• ← - Fold the frame.
• > - Go to the hotspot.
• esc - Defocus.
• [ and ] - Change sorting colunm.

This project is opened under the BSD 3-Clause license.