Update README.md

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Robert Chacón authored and GitHub committed 2025-08-19 20:06:32 -06:00
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For an ISP or other company to deploy LibreQoS – no changes are required for existing Routers, Switches or Access points: LibreQoS runs on a server that acts as a managed bridge sitting between the edge router and the core of the network. LibreQoS servers can shape traffic for tens of thousands of customers.
LibreQoS benefits network operation and planning by measuring metrics such as end-to-end TCP round trip time for each Subscriber, Access Point, and Site on a network – saving the relevant data for later analysis on the LibreQoS Long Term Stats (LTS) system.
LibreQoS code is Open Source. It improves Quality of Experience by implementing state of the art Flow Queueing (FQ) and Active Queue Management (AQM) algorithms. LibreQoS offers paid support packages and subscriptions to additional analysis service features available through [LTS](https://libreqos.io/lts/).
LibreQoS benefits network operation and planning by measuring metrics such as end-to-end TCP round trip time for each Subscriber, Access Point, and Site on a network – saving the relevant data for later analysis in the LibreQoS Insight system.
LibreQoS code is Open Source. It improves Quality of Experience by implementing state of the art Flow Queueing (FQ) and Active Queue Management (AQM) algorithms. LibreQoS offers paid support packages and subscriptions to additional analysis service features available through [LibreQoS Insight](https://libreqos.io/insight/).
To learn more, please visit [LibreQoS.io](https://libreqos.io/).
@@ -40,17 +38,18 @@ Our chat server is available at [https://chat.libreqos.io/](https://chat.libreqo
- https://twitter.com/libreqos
- https://fosstodon.org/@LibreQoS/
## Long-Term Stats (LTS)
## LibreQoS Insight
LibreQoS Long-Term Stats (LTS) is an analytics service that overhauls the way you track and analyze your network. With flexible time window views ranging from 5 minutes to 1 month, LTS gives you comprehensive insights into your network’s performance. Built from the ground-up for performance and efficiency, LTS greatly outperforms other solutions, and gives you rapidly rendered data to help you maximize your network performance.
LibreQoS Insight is the successor to our Long Term Stats (LTS) service. Insight was designed from the ground up to accommodate multi-shaper networks, providing high-resolution data on TCP Round Trip Time, TCP Retransmits, Throughput, Flows, ASN Stats, CAKE stats, Geographic Endpoint stats, as well as data on protocol, ethertype, and utilization percentages.
We provide a free 30-day trial of LTS, after which the rate is $0.30 USD per shaped subscriber per month.
You can enroll in the 30-day free trial by [upgrading to the latest version of LibreQoS v1.5](https://libreqos.io/#get-started) and following the [LTS setup documentation](https://libreqos.readthedocs.io/en/latest/docs/v2.0/lts.html).
Insight allows you to thoroughly monitor your network both at high-level, as well as to drill down to monitor the performance of individual subscribers, Access Points, OLTs, Sites, and even entire network segments. With powerful metrics such as TCP Retransmits, you can track and resolve subtle network issues before customers notice them at all.
<a href="https://libreqos.io/"><img alt="LibreQoS Long Term Stats" src="https://i0.wp.com/libreqos.io/wp-content/uploads/2023/11/01-Dashboard.png"></a></a>
Insight provides a free 30-day trial to allow network operators to see its powerful capabilities firsthand. Learn more about Insight [here](https://libreqos.io/insight).
<a href="https://libreqos.io/insight"><img alt="LibreQoS Long Term Stats" src="https://github.com/user-attachments/assets/a53ef7ac-fcf6-4e87-bf05-ad5f0adc3ca0"></a></a>
## In Loving Memory of Dave Täht
It is with heavy hearts that we share that Dave Täht has passed away. Dave served as LibreQoS' Chief Science Officer and championed the global fight against bufferbloat. You can learn more about [Dave's incredible legacy here](https://libreqos.io/2025/04/01/in-loving-memory-of-dave/), and learn how our team is working to [carry on his mission here](https://libreqos.io/company/).
Dave served as LibreQoS' Chief Science Officer and championed the global fight against bufferbloat. You can learn more about [Dave's incredible legacy here](https://libreqos.io/2025/04/01/in-loving-memory-of-dave/), and learn how our team is working to [carry on his mission](https://libreqos.io/company/).
## External Pull Request Policy