guider
yappi
| guider | yappi | |
|---|---|---|
| 9 | 5 | |
| 621 | 1,373 | |
| - | - | |
| 9.4 | 7.3 | |
| 2 days ago | about 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
guider
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Introducing the integrated and automated performance analyzer
I would like to introduce the integrated and automated performance analyzer. It named Guider, and it's repo is https://github.com/iipeace/guider.
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Do you want to get performance stats in JSON format?
Guider provides various performance statistics in a specific file in JSON format as shown below.
- Guider: Linux Performance Analyzer
- Guider 3.8: performance analyzer for Linux (No build, No setup, No install)
- Guider 3.8: performance analyzer for Linux
- Guider3.8: performance analyzer for Linux, macOS, Windows
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What Is Your Favorite Profilerperformance Tool
Guider (https://github.com/iipeace/guider) It supports all of them :)
yappi
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Profiling Python Code for Performance
yappi
- Yet Another Python Profiler, but this time thread&coroutine&greenlet aware.
- 10 Tools I Wish I Knew When I Started Working with Python
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Spy on Python down to the Linux kernel level
I've just realised after posting that the AUR package uses the git version, so it's actually normal that we have to use git version for austin-tui too and not the pypi one. Just if someone like me install the pypi version without paying attention, the git one is necessary.
For async code, the issue with normal profiler is that we end up mostly in the event loop. In Python there is https://github.com/sumerc/yappi which has a notion of coroutine profiling (check the README there), so I'm wondering if this would make sense in the context of Austin.
Anyway thanks for your work!
- (How to) profile python code?
What are some alternatives?
permon - A tool to monitor everything you want. Clean, simple, extensible and in one place.
py-spy - Sampling profiler for Python programs
Fail2Ban - Daemon to ban hosts that cause multiple authentication errors
pyinstrument - 🚴 Call stack profiler for Python. Shows you why your code is slow!
python-socketio - Python Socket.IO server and client
pyroscope - Continuous Profiling Platform. Debug performance issues down to a single line of code [Moved to: https://github.com/grafana/pyroscope]
sanic - Accelerate your web app development | Build fast. Run fast.
escpos-printer-db - Database of ESC/POS thermal receipt printers
aioflask - Flask running on asyncio!
magda - Library for building Modular and Asynchronous Graphs with Directed and Acyclic edges (MAGDA)
regta - 📅 Production-ready scheduler with async, multithreading and multiprocessing support for Python