The Data Logger can log data with the Moku app or API, or stream data over the network via the API. Logging collects data over time, storing the data on Moku. Users can download the data in multiple formats and process as needed. Streaming sends data from the Moku to a PC in real time, bypassing the need for storing the data. 

Data Logging

The Data Logger can log data over a set time period. The input data is sampled and written to the storage onboard Moku. Once logging is complete, users can download the data as a CSV, NumPy, MATLAB, or HDF5 file and process as needed. Some users want the ability to monitor and process their data in real time, which can be achieved through streaming. 

Data Streaming

Streaming handles data similarly, but without saving to storage. The input data is transferred to a buffer in Moku and then to a PC over the network. Following each transfer of data, the stream interface pauses allowing the buffer to collect more data before a transfer. If sample rates are too high, memory can overflow during the pause. It is important to note that streaming can only be accessed using the Moku API and requires the installation of mokucli. Data can be streamed directly to an API script using get_stream_data() or streamed to a file using stream_to_file(). On the Moku:Pro, streaming is supported up to 10 MSa/s over ethernet and up to 500 kSa/s for Moku:Go