Puffer Readme Md At Master Stanfordsnr Puffer Github

Bonisiwe Shabane

-Dec 29, 2025, 10:19 AM

puffer readme md at master stanfordsnr puffer github

There was an error while loading. Please reload this page. Stream live TV in your browser. There's no charge. You can watch U.S. TV stations affiliated with the NBC, CBS, ABC, PBS, Fox, and CW networks.

Puffer works in the Chrome, Firefox, Edge, and Opera browsers, on a computer or an Android phone or tablet. Puffer does not work on iPhones or iPads or in Safari. Puffer is a research project in the computer science department at Stanford University. Please find more details in the FAQ and our research paper (USENIX NSDI '20 Community Award, IRTF Applied Networking Research Prize '21). Puffer is a free and open-source live TV research study operated by Stanford University that uses machine learning to improve video streaming algorithms. It is written mostly in the C++ programming language [1] and relies on WebSocket as a transmission layer.

[2] The study allows users across the United States to watch seven over-the-air television stations broadcasting in the San Francisco Bay Area media market for free.[3] Puffer was presumed to be launched on January 18, 2019. It was initially led by Francis Yan, a Stanford computer science doctoral student, with Hudson Ayers and Sadjad Fouladi from Stanford, and Chenzhi Zhu from Tsinghua University. The project's facility advisors are professors Keith Winstein and Philip Levis.[4][5] The research study uses machine learning to improve video-streaming algorithms, such as those commonly used by services like YouTube, Netflix, and Twitch. The goal is to teach a computer to design new algorithms that reduce glitches and stalls in streaming video (especially over wireless networks and those with limited capacities, such as in rural areas), improve... The service is limited.

Only those in the U.S. can sign up, and only up to 500 users can watch Puffer at a time. In addition, the service only re-transmits free over-the-air television channels in the San Francisco Bay Area media market, specifically the following ones picked up by an antenna located on the Stanford campus: KTVU 2... The service is not compatible with Apple’s Safari browser or with iPhone and iPad devices because it relies on Media Source Extensions, which are not supported on those platforms. Dumps and analyzes the raw data recorded by Puffer, a TV streaming website and Stanford research study. Anyone can download the daily data, build the analysis programs, and run the pipeline themselves.

We encourage the public to replicate our results, posted every day on the Puffer website Results page along with the anonymized raw data. The Data Description webpage explains the format of these results, while this README details the analysis pipeline which produces them. To set up a machine for the analysis, see scripts/init_data_release_vm.sh. This installs the dependencies listed in scripts/deps.sh, creates a local directory for the results, and builds the analysis programs. Note that scripts/deps.sh installs packages as sudo, so users may prefer to manage dependencies on their own. Dependencies marked as "private" in the script are not required for users.

The analysis pipeline has been tested on Ubuntu 19.10 and 18.04 (the latter requires slight modifications; see scripts/init_data_release_vm.sh). Given a date, the pipeline outputs CSVs containing the day’s (anonymized) raw data, as well as stream and scheme statistics. Scheme statistics are calculated over the day as well as several time periods preceding it (week, two-week, month, and experiment duration). Puffer (puffer.stanford.edu) is a free and open-source live TV streaming website, and also a research study at Stanford University using machine learning to improve video streaming. More details can be found on the website, in our research paper (Community Award winner at NSDI 2020), and in the documentation. There was an error while loading.

Please reload this page. Puffer is a Stanford University research study about using machine learning to improve video-streaming algorithms: the kind of algorithms used by services such as YouTube, Netflix, and Twitch. We are trying to figure out how to teach a computer to design new algorithms that reduce glitches and stalls in streaming video (especially over wireless networks and those with limited capacity, such as... Watch TV on this website. The idea of this study is streaming TV channels to study participants over the Internet, and the Puffer website will automatically experiment with different algorithms that control the timing and quality of video sent... The more diverse the Internet connections that the study participants use, the better the system will be able to learn, and the more robust the resulting computer-generated algorithms.

Yes. Well, technically you don't even have to watch. We just need people to stream video over different kinds of Internet connections, so that the computer has some live traffic to learn from and experiment on. Visit the Sign up page to join. You must be within the United States to use Puffer. No, there is no charge to participate.

Puffer is an academic project at Stanford University and is entirely non-profit. There was an error while loading. Please reload this page.

Puffer Readme Md At Master Stanfordsnr Puffer Github

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Puffer Works In The Chrome, Firefox, Edge, And Opera Browsers,

[2] The Study Allows Users Across The United States To

Only Those In The U.S. Can Sign Up, And Only

We Encourage The Public To Replicate Our Results, Posted Every