The first software update for 2025 offers numerous new features, improvements and additional customizable options to make your measurement processes simpler and more efficient. For the first time, the PiWeb Monitor is now also available as a browser application!

Simply open reports in your browser

Spoiled for choice: Desktop or browser application? PiWeb Monitor is now available in both versions! This makes it even easier to view and share your reports: you can simply do this in your browser and no installation is required. Even in the browser-based version, you can use most of the familiar features of the Monitor, such as interactive CAD models and form plots, statistical evaluations and the extensive filter, sorting and grouping functions for your measurement data.

Flexible import of your quality data with plug-ins

With this release we provide a comprehensively extended interface in the "ZEISS PiWeb Auto Importer". With the help of plug-ins, data in any form can be easily imported. Whether file format or server – select the right data source and write plug-ins that individually map your data import using the PiWeb Auto Importer.

Central license management

With this release, we are introducing a browser-based application for the management of all ZEISS PiWeb licenses. Administrators can manage licenses simply and easily in one central location and also see whether they are currently in use. The local provision of licenses for the individual modules (e.g. Monitor) is therefore no longer necessary.

Probability plot helps to find the optimal distribution model

With this new statistics element, the evaluations of your quality data are even more valuable. The probability plot is a graphical method that can assist in the selection of a particular distribution model. The element helps to decide whether quality data can be plausibly described by a particular distribution model.

New element for large amounts of data

Use the Sankey diagram to quickly identify crucial dependencies in your quality data that are normally difficult to recognize. This plot is also suitable for large amounts of data and offers a wide range of configuration options.

Learn more here.