Downloads of v 1.1.793
It can be difficult to troubleshoot data on an embedded target while your application is running. In the same way a debugger helps you debug your application code, MPLAB Data Visualizer helps you debug your data. With MPLAB Data Visualizer, you can see how key data points in your application change during runtime, e.g. visualize values captured by a sensor on your development board.
MPLAB Data Visualizer has the following features:
• Capture data streamed from a running embedded target via serial port (CDC) or the Data Gateway Interface (DGI)
• Concurrently stream data and debug target code using the MPLAB®X IDE
• Decode data fields at runtime using the Data Stream Protocol format
• Visualize the raw or decoded data in a Graph as a time series or display the data in a terminal
• Analyze plotted data using cursors to measure bandwidth, pulse width and more
MPLAB Data Visualizer comes as a stand-alone application and as a plug-in to MPLAB X.
The MPLAB Data Visualizer plug-in must be installed in MPLAB X version 5.30 or later for correct operation.
Hardware tool support
MPLAB Data Visualizer supports targets that stream data over a (virtual) COM port, as well as tools implementing the Data Gateway Interface (DGI) USB interface.
When using a COM port, any target or board can be supported, also user-specific boards. The DGI interface is supported by the Microchip Curiosity Nano and Xplained Pro platforms, as well as the Microchip Power Debugger and Atmel-ICE.
In order to ensure the best possible user experience, make sure that kits or tools used with the MPLAB Data Visualizer are updated to the most recent firmware version.
Documentation is shipped with the product and can be opened from the DataVisualizer User Interface once started.
To install MPLAB-Data-Visualizer-Standalone(Windows), download this package and open it in IDE.
Supported Products: MPLAB X
What's New in v1.1
• Quick actions for plotting data or viewing data in the terminal
• Choose whether to plot Variable Streamer fields on same or separate axes
• Simplified data stream protocol configuration
◦ Fewer steps means its easier to start visualizing multiple variables
◦Plot several signals on the same axis for easy alignment and zoom
◦Organize axes on different rows, resize, and position
◦Inspect values of data points
◦Use cursors to measure signal width, frequency, and duty cycle
•Notable fixed issues
◦Under heavy system load data timestamps could drift so that data plots appeared delayed compared to actual events (DV-1280).
◦Deleting an field/variable in the plot wizard before a name was assigned could crash the application (DV-1265).
◦When streaming data on serial port, data could be timestamped so that parts of plots looked stretched or compressed (DV-1186)
Microchip provides online support via our web site athttps://www.microchip.com/support.
When streaming timestamped data over DGI from an Xplained Pro or Curiosity Nano kit,too high data rates can lead to buffer overflows and reduced stability of operation. This also applies to Debug GPIO. The Data Visualizer UI will display a warning when the kit or tool indicates a buffer overflow condition.The sample rate at which buffer overflows are likely to occur depends on the PC and the system load.For GPIO it could be down to a few kHz sample rate at system load. For other interfaces it is typically higher.
To get the expected result when streaming data, it is important to configure the target system properly.Study the user guide of the target development board or tool carefully as it can contain important information.
DV-806 Plotted data can look distorted at certain zoom levels. This happens because the Visualizer reduces the resolution of old data as internal buffers fill up, in order to save memory.Workaround: Pause data streaming while investigating data. Environment: All platforms
DV-807 Discarded data count under decoder statistics sometimes increases and resets to 0.This happens when data frames are split across multiple packets. When a full data frame is received, the discarded byte count resets back to 0. Environment: All platforms
DV-835 Cannot connect to ttyACM0 for streaming data. Workaround: add your user to the dial out group and log out, then log back in. Environment: Linux
DV-1089 When renaming a variable streamer field and the field is plotted, the plot source is disconnected. Reconnect the plot source by selecting the new name in the plot options. Environment: All platforms
DV-1152 COM port may not be grouped with the kit interfaces. In this case the COM port will be listed under the serial port section. Environment: Linux
DV-1153 DGI-enabled kits might not show up if a debug session is in progress in MPLAB X when MPLAB Data Visualizer standalone is started. Workaround is to stop the debug session and unplug then plug in the kit.
Environment: MPLAB X IDE 5.30 Standalone MPLAB Data Visualizer
DV-1176 Interface configuration is not applied after DGI overflow. To ensure correct operation after overflow, reconnect DGI. Environment: All platforms
DV-1335 In the plugin, when the Data Visualizer tab is maximized it will cover floating windows.A workaround is to dock the floating window. Environment: Win 10 MPLAB X 5.40
DV-1342 When a COM port is selected as Variable Streamer source and the Stop button is pressed,the port can only be reconnected from the Connections panel. Environment: Win 10 Standalone
DV-1347 A false valid frame can sometimes clear the variable streamer error indicator even though there is still a mismatch with the protocol. Environment: All platforms
- No dependencies.
|MPLAB-Data-Visual... 1.3.1320 (latest stable)||1,955||Monday, December 19, 2022||yes|
|MPLAB-Data-Visual... 1.3.1160||12,372||Tuesday, March 15, 2022||yes|
|MPLAB-Data-Visual... 1.3.1136||615||Friday, January 21, 2022||yes|
|MPLAB-Data-Visual... 1.3.1113||1,683||Wednesday, October 27, 2021||yes|
|MPLAB-Data-Visual... 1.2.956||1,142||Wednesday, May 12, 2021||yes|
|MPLAB-Data-Visual... 1.2.835||4,460||Wednesday, September 23, 2020||yes|
|MPLAB-Data-Visual... 1.2.834||37||Monday, September 21, 2020||yes|
|MPLAB-Data-Visual... 1.1.793 (this version)||667||Thursday, June 11, 2020||yes|
|MPLAB-Data-Visual... 1.0.675||499||Friday, December 20, 2019||yes|
|MPLAB-Data-Visual... 0.1.438||395||Friday, May 24, 2019||yes|