How to download and store 900 3 hour videos in a month?

This page summarizes the projects mentioned and recommended in the original post on /r/DataHoarder

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  • ytdlp-interface

    Windows graphical interface for yt-dlp, designed as a simple YouTube downloader

  • Use this GUI based YT-dlp. Download and extract it to a new folder and launch the yt-dlp interface.exe. It has all the settings preconfigured for best results.

  • totalsize

    Discontinued Script that uses yt-dlp to calculate total size of all videos in a playlist (also works with single videos).

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • yt-dlp

    A feature-rich command-line audio/video downloader

  • Like others here, I also recommend using https://github.com/yt-dlp/yt-dlp to download the videos. Pair it with https://aria2.github.io/ as an external downloader to get the max speed download.

  • aria2

    aria2 is a lightweight multi-protocol & multi-source, cross platform download utility operated in command-line. It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink.

  • Like others here, I also recommend using https://github.com/yt-dlp/yt-dlp to download the videos. Pair it with https://aria2.github.io/ as an external downloader to get the max speed download.

  • tartube

    A GUI front-end for youtube-dl, partly based on youtube-dl-gui and written in Python 3 / Gtk 3

  • TarTube i haven't used it much when I tried it on Windows. They seem to have macOS builds too.

  • ytdl-sub

    Lightweight tool to automate downloading and metadata generation with yt-dlp

  • I use this tool, which uses yt-dlp behind-the-scenes: https://github.com/jmbannon/ytdl-sub

  • youtube_channel_archiver

    Starting point for archiving entire YouTube channels using yt-dlp (originally youtube-dl)

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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