ansible-trace
gprof2dot
| ansible-trace | gprof2dot | |
|---|---|---|
| 5 | 5 | |
| 90 | 3,095 | |
| - | - | |
| 2.6 | 4.8 | |
| almost 2 years ago | about 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU Lesser General Public License v3.0 only |
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.
ansible-trace
- ansible-trace: Visualise Ansible execution time in Perfetto trace viewer: see duration of playbooks, tasks, and hosts.
- ansible-trace: Visualise Ansible execution time in Perfetto: find slow playbooks, tasks, and hosts.
- ansible-trace: Visualise Ansible execution time of in Perfetto: Playbooks, tasks, and hosts.
- ansible-trace: Visualise Ansible playbook, task, and host execution time with Perfetto trace UI
gprof2dot
-
Visualizing Pythons process?
It also lets you run tools like https://github.com/jrfonseca/gprof2dot on the profiling results to generate comprehensive flowcharts (call graph) for your program.
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Map a python project
The closes thing I can think of is gprof2dot. It's used for visual representations after profiling code: https://github.com/jrfonseca/gprof2dot
- Scanning Function calls in a script - is there a tool?
- Is there a way I can visualize all the function calls made while running the project(C++) in a graphical way?
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Profiling Flask application to improve performance
There are a few tools to visualise the profile dumps. Some of them providing a full GUI for navigatig within your profiling results ( RunSnakeRun), some of them represent the analysis result as a Graph (gprof2dot). I stopped on snakeviz, which is a browser based visualizer. It is easy installed using pip install snakeviz, and then simply run with snakeviz profile_dir. The result looks something like this, and you can dive in to each of the visual parts to see its more close detalization, which is in my opinion is super cool and handy.
What are some alternatives?
viztracer - VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.
tracy - Frame profiler
austin-tui - The top-like text-based user interface for Austin
flask-profiler - a flask profiler which watches endpoint calls and tries to make some analysis.
massif-visualizer - Visualizer for Valgrind Massif data files
pytest-austin - Python Performance Testing with Austin
pprof - pprof is a tool for visualization and analysis of profiling data
gperftools - Main gperftools repository
SnakeViz - An in-browser Python profile viewer
pedestrian-intent-prediction - Repository for master thesis at the Chalmers University of Technology
tuna - :fish: Python profile viewer
Sourcetrail - Sourcetrail - free and open-source interactive source explorer