q
Quick and dirty debugging output for tired programmers. ⛺ (by zestyping)
snoop
A powerful set of Python debugging tools, based on PySnooper (by alexmojaki)
q | snoop | |
---|---|---|
4 | 7 | |
1,277 | 1,197 | |
- | - | |
5.3 | 0.0 | |
5 months ago | 5 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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.
q
Posts with mentions or reviews of q.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-11.
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[OC]Tidy Viewer (tv) is a cross-platform csv pretty printer that uses column styling to maximize viewer enjoyment.
q - Command line csv data manipulation query-like. Python
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The unreasonable effectiveness of print debugging
For python: i specifically recommend https://github.com/zestyping/q a lot, which is like print debugging on steroids:
All output goes to /tmp/q (or on Windows, to $HOME/tmp/q). You can watch the output with this shell command while your program is running:
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Icecream: Never use print() to debug again in Python
This is similar to an earlier package called "q"[0]
[0] https://github.com/zestyping/q
snoop
Posts with mentions or reviews of snoop.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-07.
- Show HN: A 100% free and interactive Python course for coding beginners
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Useful Python Modules for us
pdbpp: Improved pdb boltons: assorted python addtions twisted: event driven networking framework sorcery: Dark magic in python, things know where+how they are being called, helps reducing boilerplate sh: Better alternative for subprocess module, much more pythonic taskipy: npm run scipt_name like functionality snoop: pdb lite, record+replay function steps birdseye: graphical debugger remote-pdb: easy pdb from inside containers typer: wrapper around click for simpler code for CLIs arrow: Always TZ aware datetimes, plus more features more-itertools: more functions for iterators pydantic: data validation + dataclasses loguru: better logging notifiers: sending notifications from python
- Looking for app that visualizes python program
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Top python libraries/ frameworks that you suggest every one
snoop or pysnooper
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Stop Using print() for Debugging When You Can Snoop Instead
We have all used strategic print() statements in our code to make sure our code is running a certain line or to see the value of a variable. This gets a little sloppy and doesn't provide much context into why some code is not behaving as expected. Enter snoop, the super dead simple way to see exactly what the code is doing, the line of code that is executing, and when and what the values of local variables are. This can help us understand the flow of our code and identify issues much faster!
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Icecream: Never use print() to debug again in Python
Try https://github.com/alexmojaki/snoop for both plus more.
What are some alternatives?
When comparing q and snoop you can also consider the following projects:
icecream - 🍦 Never use print() to debug again.
PySnooper - Never use print for debugging again
tsv-utils - eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
python-devtools - Dev tools for python
pdbpp - pdb++, a drop-in replacement for pdb (the Python debugger)
ray - Debug with Ray to fix problems faster
py_better_exchook - nice Python exception hook replacement
panopticon - Python tracing module to visualize code execution.