RillRate

UI for Microservices, Bots and IoT devices.

Support: Rust, Python, Node.js (soon).

• It's fully custom - You add your own data streams with everything you want
• It works in real-time! - NOT 5 secs real-time, it's 0.002 secs real-time 🚀
• Zero-configuration - you don't need to install and configure any other software
• Web-dashboard included - add the library to your app and connect to the dashboard with a web browser
• Ferris-friendly - we created it using Rust only: from backed to UI 🦀

Become a sponsor to see how the project is born.

Join our reddit/rillrate community to stay tuned about all the new features we released every day!

How to use it?

Add a dependency to your Cargo.toml:

toml [dependencies] rillrate = "0.37.0"

Install the rillrate engine in the main function:

rust rillrate::install("my-app");

And create a Tracer to visualize data on the embedded dashboard:

rust let my_tracer = Pulse::new( ["package", "dashboard", "group", "tracer-name"], None, // You can add a specification here: depth, ranges, labels, etc. );

When you tracer is spawned use it to put data to it:

rust tracer.push(value);

What types of tracers supported?

Pulse Live chart

Board Key-value map

Coutner Incremental value

Do you want to know how we develop it?

Become a sponsor to see how our company works inside.

RillRate has an open-source core that means we released the primary part of our code under an open-source license.

We use the following frameworks to build our product:

• Yew Framework (frontend)
• meio actor framework (backend)

License

The rillrate library released under Apache-2.0 license.

This protocol and the project is strongly inspired by the Nitrogen Web Framework (Erlang).