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content/blog/2025/web-traffic-tracking-open-source/index.md

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Understanding how people discover and navigate your project's web presence is valuable for open source communities. Chris has been [serving on the Jupyter Executive Council](../executive-council-updates/) as a [Foundational contribution](../foundational-contributions/). As part of this work, we did some research to improve their web analytics, and learned about several free and low-cost options for tracking web traffic.
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Here's a quick report of what stood out.
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Understanding how people discover and navigate your project's web presence is valuable for open source communities, but there are a lot of options out there and many maintainers may not know about them. Recently Chris did some research to improve the web analytics for [Jupyter](https://jupyter.org), and learned about several options for tracking web traffic[^1]. Here's a quick report of what stood out.
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[^1]: Chris has been [serving on the Jupyter Executive Council](../executive-council-updates/) as a [Foundational contribution](../foundational-contributions/). This was related to that effort!
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## Three analytics tools we found helpful
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## Acknowledgements
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Thanks in particular to [Jason Grout](https://github.com/jasongrout) from [Jupyter EC](/collaborators/jupyter/) for collaborating on this investigation and helping test these tools.
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Thanks in particular to [Jason Grout](https://github.com/jasongrout) from the [Jupyter Executive Council](/collaborators/jupyter/) for collaborating on this investigation and helping test these tools.

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