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I have a similar dataset that is about a year old. I hope we can detect growth trends by nation. A sensitive metric could help us deploy servers where interest is rising. I hope we find ways data like this can help our users understand and navigate their options. |
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Thanks for sharing. Probably gathering this information is valuable to gain insights on usage. What do you use it for or is it just "nice to know"? Just as side note, we may want to clarify the privacy policy with examples like this as users should be aware of data collection. |
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In Thailand Jamulus community, I maintain a web page that lists the top Jamulus users in Thailand:
I was able to generate the report by collecting snapshots of explorer.jamulus.io every few minutes1. With that, I have a data lake of publicly-available Jamulus information. Then with some data warehousing, I can ask questions about the data I have.
I recently upgraded the infrastructure behind this project (moving from a SQLite database to Google BigQuery), and in doing so, I was able to make the dataset public, so anyone interested can run SQL queries against this dataset:
The dataset contains information about all public servers, aggregated at hourly interval. I have been collecting this data since 2023-08-01. With this dataset, I can ask questions about various things. For example,
“Which hour of the day I (dtinth) use Jamulus the most in 2024?”
“Which countries spent most time combined in Jamulus in May 2024?”
Each row in the dataset represents a single client in a single server in a given hour. For example, this row:
Means that on 2024-05-03, 16:00 ~ 16:59 UTC (11pm local time), I (dtinth) connected to the "🏘 MJTH.live" server and was seen in there for 22 minutes.
If you're interested in querying this dataset, you can try running this in BigQuery Studio:
(More info available at https://github.com/dtinth/jamulus-archive)
Footnotes
I run instances of Jamulus explorer backend on my own infrastructure, so that the main Jamulus explorer is not impacted by this project. ↩
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