I wrote a tool to do automated QA on internet video (HLS/DASH, tech used for Netflix, YouTube, Twitch, etc.).
It evaluates streams against a database of 100 or so "quirks" that identify either general issues or issues that will only manifest on certain player libraries. For instance, specific "in spec" encodings which are actually non-standard in practice get flagged.
Built on TypeScript/node/Docker over the course of maybe 18 months. Used it fairly often when I was working in the space, not at all these days. Originally the plan was to license it as an enterprise vid tool.
(I've been considering open-sourcing it - would YOU use it if so?)
I am definitely curious about a tool like this. I work with a lot of video streams and this collective knowledge of quirks might be useful as a QA tool
It evaluates streams against a database of 100 or so "quirks" that identify either general issues or issues that will only manifest on certain player libraries. For instance, specific "in spec" encodings which are actually non-standard in practice get flagged.
Built on TypeScript/node/Docker over the course of maybe 18 months. Used it fairly often when I was working in the space, not at all these days. Originally the plan was to license it as an enterprise vid tool.
(I've been considering open-sourcing it - would YOU use it if so?)