vim-jumpsuite
vidgear
vim-jumpsuite | vidgear | |
---|---|---|
8 | 14 | |
5 | 3,200 | |
- | - | |
0.0 | 7.2 | |
over 1 year ago | 12 days ago | |
Python | Python | |
MIT 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.
vim-jumpsuite
-
Parse python traceback in the quickfix list.
Oh, you're in luck because I've actually written this exact plugin, it's called vim-jumpsuite. It is personally one of my special weapons that's becoming completely indispensable for me.
-
Which not so well known Python packages do you like to use on a regular basis and why?
vim-jumpsuite: parses python tracebacks and identifies the most "interesting" part of the stack to create a jump list; despite vim being in the name, the python part of the plug-in is usable with any editors that supports parsing grep/quickfix-style output
-
Are you a person who loves reinventing a wheel ?
Here is link number 1 - Previous text "my"
-
Vim setup as a Python IDE with REPL similar to Spyder/VSCode
vim-jumpsuite for creating a quickfix/loclist jumps out of unittest tracebacks
-
IDE Similar to PyCharm for Work
vim-test with lieryan/vim-jumpsuite
-
Open Python error in Vim
For more elaborate cases, I wrote a plugin that summarises python traceback into the quickfix list. vim-jumpsuite is designed to be used when writing unittest/pytest; for each failing test, it'll try to pick the three most important locations that you'll want to jump to. You can also configure certain files/functions to never be picked by vim-jumpsuite.
-
Python Devs who Use Vim, Share Your Expertise!
Plug: one of the most valuable plugin for me are the vim plugin that I wrote myself: lieryan/vim-jumpsuite. It's a plugin to quickly jump to "interesting" line of code from your test suite by converting unittest reports to a Quickfix jumplist. The plugin uses some customizable heuristics to find the lines from tracebacks that are most likely to be most useful to your code.
vidgear
-
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/
-
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?
-
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.
-
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
-
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?
pylsp-rope - Extended refactoring capabilities for python-lsp-server using Rope
moviepy - Video editing with Python
Python-mode - Vim python-mode. PyLint, Rope, Pydoc, breakpoints from box.
scikit-video - Video processing routines for SciPy
Rope - a python refactoring library
OpenCV - Open Source Computer Vision Library
vim-test - Run your tests at the speed of thought
SaveTube - Youtube-dl GUI Wrapper
python-lsp-server - Fork of the python-language-server project, maintained by the Spyder IDE team and the community
opencv-steel-darts - Automatic scoring system for steel darts using OpenCV, a Raspberry Pi 3 Model B and two webcams.
vim-textobj-indent - Vim plugin: Text objects for indented blocks of lines
ffmpeg-normalize - Audio Normalization for Python/ffmpeg