pyflame
By uber-archive
python-uncompyle6
A cross-version Python bytecode decompiler (by rocky)
pyflame | python-uncompyle6 | |
---|---|---|
1 | 8 | |
2,869 | 3,555 | |
- | - | |
0.1 | 8.9 | |
over 4 years ago | about 1 month ago | |
C++ | Python | |
- | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
pyflame
Posts with mentions or reviews of pyflame.
We have used some of these posts to build our list of alternatives
and similar projects.
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Does anyone use performance profiling / flamegraphs for optimizing ML algorithms?
I know profiling and continuous profiling have become popular for understanding system-wide performance characteristics. I.e. companies like Neflix, Uber (pyflame) , Doordash, Paypal, and many more use profiling and flamegraphs to optimize their application code often by decreasing latency -- I never hear about them using it for their ML related code (this is what my question is ultimately about).
python-uncompyle6
Posts with mentions or reviews of python-uncompyle6.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-20.
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Testing Github Co-Pilot and Trying to Win World Cup Bet
Q: What is RAPID_API_KEY = os.environ.get('RAPID_API_KEY')? A: You should store configuration in environment variables; never in code. See 12 factors app. Python .pyc files can easily be "decompiled" to .py and reveal all secrets in code.
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PSA: Global QR Code bot could have malware...
I was able to figure out that this is a python program which was compiled to an .exe. Using uncompyle6 and pyc2bytecode, I was able to decompile the .exe into the python bytecode...but I'm no expert at reading python bytecode. If you want to do this yourself, note that you will need to use the same version of python as the version used to make the exe (python 3.9). I did easily by changing the python_version in my Pipfile to 3.9 and using pipenv shell.
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Synack Red Team Five CTF Writeup - Rev
It's a Pyinstaller binary.(I have used it once before, so I just knew it by checking the file.) Use https://github.com/extremecoders-re/pyinstxtractor to extract its source code archive in binary (by just running python pyinstxtractor.py ./backdoor or something), now many .pyc files are extracted. Find src.pyc and it's malformed as Python3.9, so https://github.com/rocky/python-uncompyle6/ denies to decompile. But challenge information says it's Python3.8, so I write helloworld python script and execute it with Python3.8. It yields Python3.8 .pyc file. Analyze it and find signature is \x55. Change src.pyc's signature from \x61 to \x55 and decompile by running uncompyle6 backdoor-src.38.pyc > backdoor-src.py
- Help! Decompiling python 3.6 to source code
- De-obfuscating .pyc files?
- Recovering lost python code from .pyc?
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Error: uncompyle6 requires Python 2.6-3.8
If not, you’ll either need to install and use 3.8 to run the program, or you’ll need to help the author continue support beyond 3.8.
What are some alternatives?
When comparing pyflame and python-uncompyle6 you can also consider the following projects:
py-spy - Sampling profiler for Python programs
python-decompile3 - Python decompiler for 3.7-3.8 Stripped down from uncompyle6 so we can refactor and start to fix up some long-standing problems
memory_profiler - Monitor Memory usage of Python code
line_profiler
remote-pdb - Remote vanilla PDB (over TCP sockets).
profiling
pdb++
icecream - 🍦 Never use print() to debug again.
pyinstxtractor - PyInstaller Extractor
Laboratory - Achieving confident refactoring through experimentation with Python 2.7 & 3.3+
pyflame vs py-spy
python-uncompyle6 vs python-decompile3
pyflame vs memory_profiler
python-uncompyle6 vs py-spy
pyflame vs line_profiler
python-uncompyle6 vs remote-pdb
pyflame vs profiling
python-uncompyle6 vs pdb++
pyflame vs icecream
python-uncompyle6 vs pyinstxtractor
pyflame vs Laboratory
python-uncompyle6 vs memory_profiler