Xmrit is open source!

We want to make XmR charts a default chart type everywhere

We’ve made Xmrit open source, so that more people will be able to use XmR charts in their workplaces. Since all of our code runs inside your browser, open sourcing Xmrit is as simple as giving you a Typescript file and an index.html.

Feel free to take Xmrit’s source code and run it on your own servers.

If you’d like to programmatically create share links, our integration guide made be found here.

If you believe in our mission, help us:

XmR Charts in Business Intelligence Tools

We think XmR charts should be a default chart type in BI tools, given their 90-year old track record in helping operators become more data-driven.

If you work on a BI tool, please consider adding XmR charts to your software!

After all, if your users are not able to tell the difference between routine and exceptional variation in their metrics, can you blame them if they use your tool ineffectively, and then churn?

Adding XmR charts helps you, and helps your users.

This is the BI Tool Wall of Fame (or Shame)

Note: You should probably check the formulas in the workarounds below, to ensure that your XmR charts are calculated properly. A common mistake is to use the global standard deviation calculation to calculate the 3 sigma limit lines. You should instead calculate limit lines using a moving range (aka Von Neumann’s method of successive differences).

If you’d like to add to this table, drop us a line here.

Data Science Tutorials

Open Source Packages