Architecture

This section describes how the lognplot software is composed.

Overview

Top level, the software is designed as such that the lognplot library can be included in an application under test, or a script which can measure a system. This script will then transmit its measurements to a another lognplot applicatition, which will store the data and enable visualization of the data.

Multiple programming languages

Firstly, the software is implemented twice. Once in python and once in rust. The reason for doing so is that python is a good choice for rapid prototyping. The rust implementation is most likely to lag behind, but will probably be more stable and have a higher performance.

Another benefit is that python developers can include the software in a way they are familiar with. The same goes for rust developers.

Applications and libraries

Primarily lognplot is a library. This means it can be included in other applications. The primary application where this library is used, is in our own application, which is the showcase of the lognplot library.

Data handling

To be able to receive data from a wide variety of loggers and trace tools, a TCP/IP connection was chosen, as described here.

Library contents

The lognplot library contains the following features:

• Time series database: an in memory database for time series
• Charting: functionality to assist in the creation of plots
• Qt rendering (python only): several widgets for plot visualization