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https://github.com/uber-archive/pyflame
๐ฅ Pyflame: A Ptracing Profiler For Python. This project is deprecated and not maintained.
https://github.com/uber-archive/pyflame
debian docker fedora flame-charts profiler ptrace python uwsgi
Last synced: 3 months ago
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๐ฅ Pyflame: A Ptracing Profiler For Python. This project is deprecated and not maintained.
- Host: GitHub
- URL: https://github.com/uber-archive/pyflame
- Owner: uber-archive
- License: apache-2.0
- Archived: true
- Created: 2016-08-09T18:35:37.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2019-12-03T07:08:22.000Z (about 5 years ago)
- Last Synced: 2024-04-15T07:14:41.205Z (8 months ago)
- Topics: debian, docker, fedora, flame-charts, profiler, ptrace, python, uwsgi
- Language: C++
- Homepage:
- Size: 368 KB
- Stars: 2,978
- Watchers: 67
- Forks: 238
- Open Issues: 35
-
Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE
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README
# Pyflame: A Ptracing Profiler For Python
[](https://travis-ci.org/uber/pyflame) [](http://pyflame.readthedocs.io/en/latest/?badge=latest) [](https://copr.fedorainfracloud.org/coprs/eklitzke/pyflame/)
(This project is deprecated and not maintained.)
Pyflame is a high performance profiling tool that
generates [flame graphs](http://www.brendangregg.com/flamegraphs.html) for
Python. Pyflame is implemented in C++, and uses the
Linux [ptrace(2)](http://man7.org/linux/man-pages/man2/ptrace.2.html) 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](https://uwsgi-docs.readthedocs.io/en/latest/).
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](https://pyflame.readthedocs.io/en/latest/usage.html). 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](https://github.com/brendangregg/FlameGraph).
## FAQ
The full FAQ is [here](https://pyflame.readthedocs.io/en/latest/faq.html).
### What's The Deal With (idle) Time?
Full
answer
[here](https://pyflame.readthedocs.io/en/latest/faq.html#what-is-idle-time).
tl;dr: use the `-x` flag to suppress (idle) output.
### What About These Ptrace Errors?
See [here](https://pyflame.readthedocs.io/en/latest/faq.html#what-are-these-ptrace-permissions-errors).
### How Do I Profile Threaded Applications?
Use the `--threads` option.
### Is There A Way To Just Dump Stack Traces?
Yes, use the `-d` option.