Instrumental is a Python-based library for controlling lab hardware like cameras, DAQs, oscilloscopes, spectrometers, and more. It has high-level drivers for instruments from NI, Tektronix, Thorlabs, PCO, Photometrics, Burleigh, and others.
Note As of version 0.7, Instrumental has dropped support for Python 2 and now requires Python 3.7+
Instrumental's goal is to make common tasks simple to perform, while still providing the flexibility to perform complex tasks with relative ease. It also makes it easy to mess around with instruments in the shell. For example, to list the available instruments and open one of them:
>>> from instrumental import instrument, list_instruments >>> paramsets = list_instruments() >>> paramsets [<ParamSet[TSI_Camera] serial='05478' number=0>, <ParamSet[K10CR1] serial='55000247'> <ParamSet[NIDAQ] model='USB-6221 (BNC)' name='Dev1'>] >>> daq = instrument(paramsets[2]) >>> daq <instrumental.drivers.daq.ni.NIDAQ at 0xb61...>
If you're going to be using an instrument repeatedly, save it for later:
>>> daq.save_instrument('myDAQ')
Then you can simply open it by name:
>>> daq = instrument('myDAQ')
Instrumental also bundles in some additional support code, including:
- A server-client implementation for controlling instruments from remote machines
- Plotting and curve fitting utilities
- Utilities for acquiring and organizing data
Instrumental makes use of NumPy, SciPy, Matplotlib, and Pint, a Python units library. It optionally uses PyVISA/VISA and other drivers for interfacing with lab equipment.
For install information, documentation, examples, and more, see our page on ReadTheDocs.
If you would like to cite Instrumental, to give it more visibility to other researchers, you can cite the repository through Zenodo (DOI: 10.5281/zenodo.2556398).