Programming language comparision from instrument automation perspective

 The data corresponding to the performance analysis of four programming languages, namely, LabVIEW, MATLAB, C, and Python, from an instrument automation perspective is presented. The codes are written for sensors, instruments interfacing, real-time control, synchronized data acquisition, simultaneous raw data processing and analysis. Comparative analysis data based on the launch performance, eight background processes performance indices and runtime performance is provided. The launch performance for language recorded by starting the corresponding IDE after a fresh restart of the system, then it is started several times. The time was recorded until the IDE became responsive. The background performance indices used are Processor utilization(% Processor Time), RAM(Private bytes) usage, IO(Input/Output) Data Bytes/sec, IO Data Operations/sec, IO Read Bytes/sec, IO Read Operations/sec, IO Write Bytes/sec, IO Write Operations/sec. The runtime performance parameters includes Instrument interfacing, data acquisition, read/write data, data processing, data visualisation.