databear 0.2.1

A Python based data logger

DataBear

General purpose data aquistion, processing, and logging platform written in Python. DataBear is hardware independent, but is meant to be easily integrated via a custom hardware interface provided by the user.

Goals:

• Easy to use - intuitive setup and configuration.
• Versatile - use on any hardware device that runs Python.
• Extendible - add new methods for measurement as needed.

Some potential usage scenarios:

Here are some random ideas to give a sense for DataBear capabilities (some capabilities under development).

• Run DataBear on a Raspberry Pi (https://www.raspberrypi.org/) to read a Modbus temperature sensor. The sensor could be connected to a USB port on the Pi via an RS485 to USB converter and data could be read every second, averaged, and stored to CSV.
• Integrate DataBear into an existing Linux based measurement platform, such as the Dyacon MDL-700 (https://dyacon.com). In this case, DataBear is utilized by pyMDL (https://github.com/dyacon/pyMDL) to schedule measurement and storage, while pyMDL specifies hardware configuration.

Ideal Datalogger Features vs Data Bear 0.2

Ideal Feature	Data Bear
Adjustable sampling rates for all measurements	☑
Concurrent measurement of all sensors
Adjustable rates of data storage	☑
Store metadata associated with data values.	☑