pytest-austin
austin-tui
| pytest-austin | austin-tui | |
|---|---|---|
| - | 4 | |
| 116 | 618 | |
| - | - | |
| 2.1 | 2.3 | |
| 6 months ago | 12 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU 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.
pytest-austin
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Tracking mentions began in Dec 2020.
austin-tui
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Flameshow: A Terminal Flamegraph Viewer
There is a "live" flamegraph TUI that uses Austin for those interested in Python profiling https://github.com/P403n1x87/austin-tui. The data collected can be exported and then converted into pprof, and analysed further with flameshow etc...
- Live flame graph rendering in the terminal
- Live flame graphs rendering in the terminal
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Austin – Python Frame Stack Sampler (or zero-instrumentation profiling) 2.1.1
- Scoop
Austin is also simple to compile from sources as it only depends on the standard C library, if you don't have access to the above-listed repositories.
This new release of Austin brings enhanced support for many Python binary distributions across all the supported platforms, as well as a bugfix for the line number reporting. If you rely on Austin 2, upgrading to the latest version is strongly recommended.
Let me also remind you of some of the other existing Python tools powered by Austin, which have also seen new releases in the past few days, and that are easily available from PyPI:
https://github.com/P403n1x87/austin-tui
What are some alternatives?
scalene - Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
parca-demo - A collection of languages and frameworks profiled by Parca and Parca agent