A dependency-free (pure standard-library) Python tool that turns startup-phase player data into the streaming-QoE numbers the way the standards define them. It does NOT decode video or compute a picture metric; a startup time comes from PLAYER EVENTS (play intent -> first rendered frame), not pixels. (1) STARTUP BUDGET: a component breakdown (network setup + manifest + first-segment fill to the buffer threshold + decode/render); reproduces the article's 90+160+500+150+100 = 1000 ms budget and th
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The handbook · 7 volumes
Fora Soft Video Engineering Handbook
This standard-library Python tool turns player events into startup-time numbers and reproduces the 1000 ms startup budget by component. Our seven-volume handbook covers every stage in that budget: Volume 3 on ABR, CDNs, players and QoE monitoring, Volume 1 on encoding choices that shape the first segment, and Volume 6 on AI-driven quality analytics. Written by Nikolay Sapunov, CEO at Fora Soft.
Trying to get video startup time under one second?
Share your player logs or a test URL: we return a startup budget broken down by stage and the changes in manifest, CDN and player settings that will cut it. 250+ video products shipped since 2005.
You get a realistic estimate, technical recommendations and next steps. Free, no obligations.
