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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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m4b-tool
m4b-tool is a command line utility to merge, split and chapterize audiobook files such as mp3, ogg, flac, m4a or m4b
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InfluxDB
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.
I battled with this a lot with https://github.com/umaar/video-everyday and still haven't found a better solution.
What I don't understand is, how can professional video editing tools trim accurately (and very quickly)? What are they doing differently to ffmpeg?
If do things the "fast way" with ffmpeg, the exported video has random black frames which I think is related to the keyframe issue you mention. If I do things the "slow way" (e.g. accurately) with ffmpeg, it takes a huge amount of time (at least with large 4k videos). But I don't understand how I can drop that same 4k video into Screenflow, trim 1 second out of it and export it in a matter of seconds.
FFmpeg is the foundation of my Video Hub App :D
https://github.com/whyboris/Video-Hub-App
Extract screenshots from video, join them together in a horizontal filmstrip (letterboxing as needed) for super-fast preview of each video :)
This was posted a couple of months ago here.
https://github.com/yuanqing/vdx - An Intuitive CLI for processing video, powered by FFmpeg.
- Incorrect handling of mp3 chapters https://github.com/sandreas/m4b-tool/issues/71#issuecomment-...
If anyone who is interested in using ffmpeg in a container, this alias is pretty useful (use relative paths ;-):
alias ffmpeg='docker run --rm -u $(id -u):$(id -g) -v "$PWD:$PWD" -w "$PWD" mwader/static-ffmpeg:4.3.2'