py-spy
dasel
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py-spy
- Minha jornada de otimização de uma aplicação django
- Graphical Python Profiler
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Grasshopper – An Open Source Python Library for Load Testing
For CPU cycles, py-spy[0] is getting more and more used. For RAM, I would like to known too...
[0] -- https://github.com/benfred/py-spy
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Debugging a Mixed Python and C Language Stack
Theres also Py Spy, a profiling tool that can generate flame charts containing a mix of python and C (or C++) calls.
https://github.com/benfred/py-spy
It's worked really well for my needs
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python to rust migration
You should profile your consumer to check the bottlenecks. You can use the excellent py-spy(written in Rust). IMO a few usage of Numba there and there should solve your performance issues.
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Has anyone switched from numpy to Rust?
So as a first step you'll want to profile your program to figure out where it's slow, and hopefully that'll also tell you why it's slow. I'm the (biased) author of the Sciagraph profiler which is designed for this sort of application (https://sciagraph.com) but you can also try py-spy, which isn't as well designed for data processing/analysis applications (e.g. it won't visualize parallelism at all) but can still be informative (https://github.com/benfred/py-spy). Both are written in Rust ;)
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Trace your Python process line by line with minimal overhead!
Any advantages/disadvantages compared to py-spy [1]?
[1]: https://github.com/benfred/py-spy
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Python 3.11 delivers.
Python profiling is enabled primarily through cprofile, and can be visualized with help of tools like snakeviz (output flame graph can look like this). There are also memory profilers like memray which does in-depth traces, or sampling profilers like py-spy.
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Tales of serving ML models with low-latency
A good profiler would be https://github.com/benfred/py-spy . If you run your app/benchmark with it, it should be able to draw a flamegraph telling you where the majority of time is spent. The info here is quite fine grained so it would already tell you where the bottleneck is. Without a full-fledged profiler you can also measure the timings in various parts of the code to understand where the bottleneck is.
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Profiling a Python library written in Rust (Maturin)
Might be worth raising an issue on py-spy (a python profiler written in rust which "supports profiling native python extensions written in languages like C/C++ or Cython" to see if that can close the loop.
dasel
- jq 1.7 Released
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Dasel - jq for yaml json and toml
wget https://github.com/TomWright/dasel/releases/download/v2.1.2/dasel_linux_amd64 install -o root -g root -m 0755 dasel_linux_amd64 /usr/bin/dasel
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Why a world needs an UNIX-style image collection manager?
https://github.com/TomWright/dasel handles JSON, TOML, YAML, XML and CSV
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Tool to interact with CSV
dasel - Comparable to jq / yq, but supports JSON, YAML, TOML, XML and CSV with zero runtime dependencies.
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Yq is a portable yq: command-line YAML, JSON, XML, CSV and properties processor
Another tool in this space is Dasel[1], which can handle querying/modifying JSON, YAML, TOML, XML and CSV files.
[1] https://github.com/TomWright/dasel
- Jc – JSONifies the output of many CLI tools
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What are your coolest tools for one-liners ?
There also is dasel which combine jq, yq as well handling TOML, XML and CSV
- Run SQL on CSV, Parquet, JSON, Arrow, Unix Pipes and Google Sheet
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What is the coolest Go open source projects you have seen?
dasel # most common human readable configs(json, yaml, xml...)
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How to grep a specific field from curl output
I have recently switched to Dasel (https://github.com/TomWright/dasel ) due to its ability to work not only with JSON but also with other formats.
What are some alternatives?
pyflame
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
pyinstrument - 🚴 Call stack profiler for Python. Shows you why your code is slow!
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
python-uncompyle6 - A cross-version Python bytecode decompiler
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
memory_profiler - Monitor Memory usage of Python code
kubectl-jq - Kubectl plugin that works like "kubectl get" but runs everything through a JQ program you provide
icecream - 🍦 Never use print() to debug again.
Go Metrics - Go port of Coda Hale's Metrics library
line_profiler
Moby - The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems