A thin wrapper around yt-dlp for parallel downloads

yt-dlpp is just yt-dlp but starts downloads in parallel.
It supports passing multiple download URLs and unwrapping playlists.

Note: In addition to yt-dlpp, it is expected that you also have a valid yt-dlp install available in the command line.
Only Linux has been tested and validated, but feel free to open a PR to add support for other OS-es.

pip install yt-dlpp

git clone https://github.com/GeoffreyCoulaud/yt-dlpp.git
cd yt-dlpp
python3 -m venv .venv
source .venv/bin/activate
pip install

yt-dlpp accepts all valid yt-dlp arguments and passes them mostly intact.
However, arguments related to CLI output will be ignored since that is handled by yt-dlpp.

Below, you can find a short list of the added arguments:

yt-dlpp spreads the info getting and downloads to multiple worker processes. Here is an architecture overview of the project :

graph TD
    A[CLI Entry Point]-->B[Info Worker 1]
    A-->C[Info Worker 2]
    A-->D[...]
    A-->E[Info Worker N]
    B-->F[Download Deduplication Worker]
	C-->F
	D-->F
	E-->F
	F-->G[Download Worker 1]
	F-->H[Download Worker 2]
	F-->I[...]
	F-->J[Download Worker N]
	G-->K[Progress Display Worker]
	H-->K
	I-->K
	J-->K

As you may be aware, starting multiple Youtube downloads in parallel will probably not change the overall time taken, since a rate limit is in place, and before reaching it, you may simply reach your ISP's limit.
But yt-dlp (and therefore yt-dlpp too) is not only used for Youtube! Other websites have different restrictions, and some may simply allow downloads at a slow speed, but no per IP throttling (eg. NHK World Japan).