magda
yappi
Our great sponsors
| magda | yappi | |
|---|---|---|
| 1 | 5 | |
| 13 | 1,369 | |
| - | - | |
| 4.1 | 7.3 | |
| over 2 years ago | about 2 months ago | |
| Python | Python | |
| Apache License 2.0 | 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.
magda
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MAGDA – our open-source solution for spaghetti code
We would like to introduce you to our latest open-source library: MAGDA. The name is an abbreviation for “Modular Asynchronous Graphs with Directed and Acyclic edges”, which fully describes the idea behind it. The library enables building modular data pipelines with asynchronous processing in e.g. machine learning and data science projects. It is dedicated for Python projects and is available on the NeuroSYS GitHub, as well as on the PyPI repository. It aids our R&D teams not only by introducing some abstraction (classes and functions) but also by imposing an architectural pattern onto the project.
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?
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