FAQ – Frequently asked questions
Everything you need to know about Visplore.
What are the system requirements for Visplore?
Any Visplore version can be installed on Windows 10, including virtual machines. Visplore Discovery and Professional can also be deployed on Windows Server machines and accessed via remote desktop (RDP). A mouse is not required but highly recommended.
Is Visplore also available for Mac / Linux?
Not yet. Linux and Mac versions are planned for 2021. For now, Visplore can be installed in a virtual machine running Windows.
Are administrator rights necessary to install Visplore?
What deployment options are there for Visplore?
What are the requirements of the data connectors (Python, R, Matlab, OSISoft, ODBC)?
VisplorePy (Python connector):
VisploreR (R connector)
VisploreMatlab (Matlab connector)
OSISoft PI Connector (Visplore Professional only)
Which licensing system is used?
Visplore Free requires no licensing system.
Paid versions are licensed using “Codemeter” by the German company WiBu Systems. See https://www.wibu.com/
The Codemeter Runtime installer comes with the installer of paid Visplore versions.
Visplore Professional supports shared (=concurrent) licenses using a license server. This has the following requirements:
Does Visplore require an internet connection?
No. Every Visplore version also works offline. Visplore checks for new versions at start-up (as many other programs do), but will still start, if it cannot connect to the server.
What kind of data can I use for Visplore?
Visplore can be applied to any multivariate data set which is structured as a data table (“data matrix”).
Visplore is specifically optimized for data from time-dependent measurements such as sensor data from machinery, energy, or meteorology. In these cases, rows typically represent observations at specific points in times and columns are the variables per observation. These variables may be quantitative, categorical, or time stamps. More details can be found here.
Visplore Professional additionally supports curve-typed data attributes. A curve may represent a time series per machine operation or an entire spectrum per measurement. Each curve is a set of x/y pairs and can be imported in multiple ways, as described here.
Are there any limits to the data size?
There is no hard limit. Depending on your hardware and type of analysis, a limit for getting reasonably interactive feedback is up to ten million data records (= rows of the data matrix) and up to a few hundred data attributes (= columns of the data matrix). But it really depends on what you are up to do in Visplore.
What if the data is of inconsistent quality?
Visplore can nicely handle missing values, outliers, and other data quality problems. Analyzing such “dirty” data is a major strength of Visplore using features such as interactive filtering, labeling and cleansing. If your analysis requires data to be integrated from multiple sources, however, the integration would require pre-processing outside Visplore.
I have a data source not listed here. What can I do?
For one-time analyses, the most straightforward way is perhaps to simply convert the data to, e.g., a CSV file.
For recurring analyses, Visplore offers APIs for Python, Matlab and R that can be used to read and write data from / to Visplore. For example, it is possible to write a Python application that accesses data from one or more data sources and passes the data on to Visplore. The same application could also read back information such as user-defined data annotations from Visplore and writes it to a data base.
And yes, we will keep adding connectors for an increasing number of data sources in future versions …
How can I share results with colleagues?
Analysis cockpits can be stored including view customizations, data annotations, computed data attributes, and other user-created elements (applies to Visplore Discovery and Visplore Professional). Such cockpit files can be shared with other people as templates for future analyses or as self-contained packages. And, of course, you can export images and processed data – also automatized via Python API.
What exactly are the limitations of the free version?
Visplore Free offers the same functionality as Visplore Discovery except for the following feature limitations:
Visplore Discovery has none of these feature limitations.
Is it allowed to use the free version for commercial purposes?
Visplore Free is intended for personal and academic use as well as for evaluation and training. All types of organizations – including companies – are encouraged to try Visplore Free for evaluation purposes. However, using Visplore Free for commercial advantage or monetary compensation is not permitted.
Furthermore, exported images will show the Visplore logo as watermark, which you must not remove.
Visplore Discovery has none of these limitations.
Is there a discount for academic use?
This depends on the intended use, but in many cases, yes. Visplore Discovery and Visplore Professional are well suited for education as well as for research and we love to see how it accelerates scientific progress. Please contact us for details.