![]() I have not used the one metnioned above, so can make no comment on it. They also charge for the toolkit and want runtime license fees as well. The Exaprom does this out of the box, BTW. Once the code is running, Memory VIs or BTC VIs can be used to send and receive data directly to and from the Blackfin Processor system. I had to draw every cell individually to get what I wanted. It provides an easy-to-use interface and simplifies the. For example, I needed to create a very long table of data, and wanted to change the color of every other row to make it easier to read. HSDAQ LabVIEW toolkit is developed for accessing the ICP DAS high-speed data acquisition devices. ![]() I found it frustrating to use because it was very basic at the time. It is closed source, so if they don't support it, or you don't like the way they do it, you are out of luck. Deep Learning Toolkit for LabVIEW is a high-level API providing possibilities to build, configure, visualize, train, analyze and deploy Deep Learning based systems. The version I used was back in 2008, maybe v 1.1 I think. I have used the Carya Automatisering toolkit before as well: There is some learning curve with it, but out of the two I used, I found it the more enjoyable to use. Bets of all, it's a community gift, and there is no fee for it, unlike the others. I imagine a lot of that is rolled into v2. I've run into a couple of limitations, but was able to modify code myself to do what I wanted, and Jean-Marc has some additional additions in the forums for specific user requests. All code is open and available for you to modify as you see fit. I haven't used v2.0 yet, but v1 was fairly well developed and supported most of what you would need.
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