pdbpp
vidgear
pdbpp | vidgear | |
---|---|---|
9 | 14 | |
1,255 | 3,230 | |
1.3% | - | |
0.0 | 6.8 | |
about 1 month ago | 4 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
pdbpp
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The new pdbp (Pdb+) Python debugger!
Why not just use Python’s built-in pdb debugger or another existing one like ipdb or pdbpp?
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Show HN: Clamshell- an experimental Python based shell
I like pdbpp. Make sure to install from source as there hasn’t been a release in a while.
https://github.com/pdbpp/pdbpp
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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
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For whose use Emacs and VS Code, when and why you use VSCode? #emacs #vscode
If you want to use pdbpp, install it into your Python environment you're using the debugger from and it'll automatically hook itself into pdb with no additional setup.
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What Python debugger do you use?
I love pdbpp
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Which not so well known Python packages do you like to use on a regular basis and why?
pdbpp feels like getting super powers over using pdb
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What dev tools do you use in your python projects?
Most of the tools and libraries I use have been mentioned, but I haven’t seen pdb++ brought up. It’s like ipython for debugging!
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Debug in VIM
Improved version of built-in debugger: https://github.com/pdbpp/pdbpp
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Icecream: Never use print() to debug again in Python
I like to use PDB++ which is a drop in replacement for PDB
https://github.com/pdbpp/pdbpp
vidgear
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Why HTTP/3 is eating the world
My experience that played out over the last few weeks lead me to a similar belief, somewhat. For rather uninteresting reasons I decided I wanted to create mp4 videos of an animation programmatically, from scratch.
The first solution suggested when googling around is to just create all the frames, save them to disk, and then let ffmpeg do its thing from there. I would have just gone with that for a one-off task, but it seems like a pretty bad solution if the video is long, or high res, or both. Plus, what I really wanted was to build something more "scalable/flexible".
Maybe I didn't know the right keywords to search for, but there really didn't seem to be many options for creating frames, piping them straight to an encoder, and writing just the final video file to disk. The only one I found that seemed like it could maybe do it the way I had in mind was VidGear[1] (Python). I had figured that with the popularity of streaming, and video in general on the web, there would be so much more tooling for these sorts of things.
I ended up digging way deeper into this than I had intended, and built myself something on top of Membrane[2] (Elixir)
[1] https://abhitronix.github.io/vidgear/
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Need help to choose toolchain for setting up a video streaming server on my PC.
I've been googling and reading for a while but I'm very unsure about which tools I need, which tools will help me achieve what I want the easiest way. What about (pylivestream)[https://pypi.org/project/pylivestream/] for example? Will this do the job for me? What about a lower level approach including (pyopencv)[https://pypi.org/project/opencv-python/]? What about a higher level approach using (vidgear)[https://github.com/abhiTronix/vidgear], which seems promising but I don't feel confident in assessing if it's the tool I really need?
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Which not so well known Python packages do you like to use on a regular basis and why?
Vidgear and new deffcode library are my best. I bet you don't know none of them. But they're pretty awesome when it comes to video-processing and stuff.
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Deffcode: FFmpeg decoding made easy with python.
Yes, fortunately I already resolved it in my previous(popular) library called vidgearthrough its WriteGear API: https://abhitronix.github.io/vidgear/latest/gears/writegear/compression/overview/
- VidGear Is a High-Performance Video Processing Python Library
- VidGear: Making Video-Processing with Python as easy as pie
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I created VidGear that makes Video-Processing with Python as easy as can be
Code: https://github.com/abhiTronix/vidgear
- VidGear 0.2.3: Video-Processing with Python as easy as can.
- VidGear – A High-Performance Video Processing Python Framework
What are some alternatives?
ipdb - Integration of IPython pdb
moviepy - Video editing with Python
pudb - Full-screen console debugger for Python
scikit-video - Video processing routines for SciPy
pdbr - pdb + Rich library
OpenCV - Open Source Computer Vision Library
PySnooper - Never use print for debugging again
SaveTube - Youtube-dl GUI Wrapper
python-devtools - Dev tools for python
opencv-steel-darts - Automatic scoring system for steel darts using OpenCV, a Raspberry Pi 3 Model B and two webcams.
snoop - A powerful set of Python debugging tools, based on PySnooper
ffmpeg-normalize - Audio Normalization for Python/ffmpeg